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    Complexity and Nonlinearity in Cardiovascular Signals [[electronic resource] /] : монография / ed.: Barbieri, Riccardo., Scilingo, Enzo Pasquale., Valenza, Gaetano. - 1st ed. 2017. - [S. l. : s. n.]. - VIII, 537 p. 133 illus., 72 illus. in color. - Б. ц.
    Зміст:
Part I: Introduction --
1. Introducing Complex Cardiovascular Physiology --
Part II: Methods --
2. Symbolic Dynamics, Poincare Plot Analysis and Compression Entropy Estimate Complexity in Biological Time Series --
3. Information Decomposition: A tool to Dissect Cardiovascular and Cardiorespiratory Complexity --
4. Multiscale Entropy: Recent Advances --
5. Introduction to Complex Systems Analysis with Wavelets --
6. Intermittency-Driven Complexity in Signal Processing --
7. Self-Similarity and Detrended Fluctuation Analysis of Cardiovascular Signals --
8. Time-varying Cardiovascular Complexity with focus on Entropy and Lyapunov Exponents --
9. Time-frequency analysis of cardiovascular signals and their dynamic interactions --
Part III: Applications --
10. Measurements of Cardiovascular Signal Complexity for Advanced Clinical Applications --
11. Applications of Complexity Analysis in Clinical Heart Failure --
12. Heart Rate Complexity Associated with Diabetic Cardiac Neuropathy --
13. Applications of Heartbeat Complexity Analysis to Depression and Bipolar Disorder --
14. Cardiac Autonomic changes in Epilepsy --
15. Applications of Nonlinear Methods to Atrial Fibrillation --
16. Complex and Nonlinear Analysis of Heart Rate Variability in the Assessment of Fetal and Neonatal Wellbeing --
17. ARFIMA-GARCH Modelling of HRV: Clinical Application in Acute Brain Injury --
18. Age and Gender Dependency of Complexity Measures of Short-term Heart Rate Time Series --
19. Complexity and Nonlinearities in Cardiorespiratory Signals in Sleep and Sleep Apnea.
Рубрики: Biomedical engineering.
   Statistical physics.
   Cardiology.
   Biomedical Engineering/Biotechnology.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Cardiology.
   Biomedical Engineering and Bioengineering.
Анотація: This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at obtaining reliable, effective markers for the assessment of heartbeat, respiratory, and blood pressure dynamics. The chapters describe in detail methods that have been previously defined in theoretical physics such as entropy, multifractal spectra, and Lyapunov exponents, contextualized within physiological dynamics of cardiovascular control, including autonomic nervous system activity. Additionally, the book discusses several application scenarios of these methods. The text critically reviews the current state-of-the-art research in the field that has led to the description of dedicated experimental protocols and ad-hoc models of complex physiology. This text is ideal for biomedical engineers, physiologists, and neuroscientists. This book also: Expertly reviews cutting-edge research, such as recent advances in measuring complexity, nonlinearity, and information-theoretic concepts applied to coupled dynamical systems Comprehensively describes applications of analytic technique to clinical scenarios such as heart failure, depression and mental disorders, atrial fibrillation, acute brain lesions, and more Broadens readers' understanding of cardiovascular signals, heart rate complexity, heart rate variability, and nonlinear analysis.

Перейти: https://doi.org/10.1007/978-3-319-58709-7

Дод.точки доступу:
Barbieri, Riccardo. \ed.\; Scilingo, Enzo Pasquale. \ed.\; Valenza, Gaetano. \ed.\; SpringerLink (Online service)
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    Alger, Mark.
    Polymer Science Dictionary [[electronic resource] /] : монография / Mark. Alger ; . - 3rd ed. 2017. - [S. l. : s. n.]. - XXIV, 1008 p. 2818 illus. - Б. ц.
    Зміст:
Preface to the third edition --
Preface to the second edition --
Preface to the first edition --
Notes on the organisation of the dictionary --
Notation --
Appendices --
Sources.
Рубрики: Polymers  .
   Materials science.
   Statistical physics.
   Dynamical systems.
   Physical chemistry.
   Nanochemistry.
   Condensed matter.
   Polymer Sciences.
   Characterization and Evaluation of Materials.
   Complex Systems.
   Physical Chemistry.
   Nanochemistry.
   Condensed Matter Physics.
Анотація: This 3rd edition of this important dictionary offers more than 12,000 entries with expanded encyclopaedic-style definitions making this major reference work invaluable to practitioners, researchers and students working in the area of polymer science and technology. This new edition now includes entries on computer simulation and modeling, surface and interfacial properties and their characterization, functional and smart polymers. New and controlled architectures of polymers, especially dendrimers and controlled radical polymerization are also covered.

Перейти: https://doi.org/10.1007/978-94-024-0893-5

Дод.точки доступу:
Alger, Mark. \.\; SpringerLink (Online service)
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    Mikhailov, Alexander S.
    Chemical Complexity [[electronic resource] :] : self-Organization Processes in Molecular Systems / / Alexander S. Mikhailov, Ertl, Gerhard. ; . - 1st ed. 2017. - [S. l. : s. n.]. - VII, 208 p. 137 illus., 57 illus. in color. - Б. ц.
    Зміст:
Self-organization vs. self-assembly --
Thermodynamics of open systems --
The Turing instability --
Waves in the heart --
The Belousov-Zhabotinsky reaction --
Surface catalysis --
Corrosion of steels --
Nonequilibrium soft matter --
Phase transitions in reactive systems --
Self-organization in biological cells --
Protein machines and molecular motors --
Active propulsion on microscales --
Oscillators and synchronization phenomena --
Chemical chaos --
Network problems --
Design and control of self-organizing systems --
Open problems and application perspectives.
Рубрики: Physical chemistry.
   Statistical physics.
   Computational complexity.
   Systems biology.
   Biological systems.
   Materials—Surfaces.
   Thin films.
   Physical Chemistry.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Complexity.
   Systems Biology.
   Surfaces and Interfaces, Thin Films.
Анотація: This book provides an outline of theoretical concepts and their experimental verification in studies of self-organization phenomena in chemical systems, as they emerged in the mid-20th century and have evolved since. Presenting essays on selected topics, it was prepared by authors who have made profound contributions to the field. Traditionally, physical chemistry has been concerned with interactions between atoms and molecules that produce a variety of equilibrium structures - or the 'dead' order - in a stationary state. But biological cells exhibit a different 'living' kind of order, prompting E. Schrodinger to pose his famous question “What is life?” in 1943. Through an unprecedented theoretical and experimental development, it was later revealed that biological self-organization phenomena are in complete agreement with the laws of physics, once they are applied to a special class of thermodynamically open systems and non-equilibrium states. This knowledge has in turn led to the design and synthesis of simple inorganic systems capable of self-organization effects. These artificial 'living organisms' are able to operate on macroscopic to microscopic scales, even down to single-molecule machines. In the future, such research could provide a basis for a technological breakthrough, comparable in its impact with the invention of lasers and semiconductors. Its results can be used to control natural chemical processes, and to design artificial complex chemical processes with various functionalities. The book offers an extensive discussion of the history of research on complex chemical systems and its future prospects. Gerhard Ertl received the Nobel Prize in Chemistry in 2007 for his studies on heterogeneous catalysis and self-organization processes in surface chemical reactions. He was the director of the Physical Chemistry department at the Fritz Haber Institute of the Max Planck Society in Berlin, where he is currently a Professor Emeritus. Prof. Alexander S. Mikhailov, of the same institute, is a theoretical physicist who has been working with G. Ertl for more than twenty years. He is the author of three monographs published by Springer and was awarded the International Solvay Chair in Chemistry in 2009. Together, the authors initiated and organized a series of international conferences on "Engineering of Chemical Complexity".

Перейти: https://doi.org/10.1007/978-3-319-57377-9

Дод.точки доступу:
Ertl, Gerhard.; Mikhailov, Alexander S. \.\; SpringerLink (Online service)
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    Simulating Social Complexity [[electronic resource] :] : a Handbook / / ed.: Edmonds, Bruce., Meyer, Ruth. - 2nd ed. 2017. - [S. l. : s. n.]. - VII, 838 p. 85 illus., 32 illus. in color. - Б. ц.
    Зміст:
Part1. Introduction --
Chapter1. Introduction --
Chapter2. Historical Introduction --
Chapter3. Types of Simulation --
Chapter4. Different Modelling Purposes --
Part2. Methodology --
Chapter5. Informal Approaches to Developing Simulations --
Chapter6. Applying software engineering methods to simulation development --
Chapter6. Checking Simulations --
Chapter7. Verifying and Validating simulations --
Chapter8. Understanding Simulation Results --
Chapter9. How many runs should one do --
Chapter10. Participatory Approaches --
Chapter11. Combining Analytic and Simulation Approaches --
Chapter12. Interpreting and Understanding Simulations --
Chapter13. Documenting Social Simulation Models: The ODD Protocol as a Standard --
Part3. Mechanisms --
Chapter14. Utility, Games, and Narratives --
Chapter15. Social Constraint --
Chapter16. Reputation --
Chapter17. Social Networks and Spatial Distribution --
Chapter18. Learning --
Chapter19. Evolutionary Mechanisms --
Part4. Applications --
Chapter20. Agent-based Modelling and Simulation Applied to Environmental Management --
Chapter21. Distributed Computer Systems --
Chapter22. Simulating Complexity of Animal Social Behaviour --
Chapter23. Agent-based Simulation as a Useful Tool for the Study of Markets --
Chapter24. Movement of People and Goods --
Chapter25. Modeling Power and Authority: An Emergentist View from Afghanistan --
Chapter26. Human Societies – Understanding Observed Social Phenomena --
Chapter27. Some pitfalls to beware when applying models to issues of policy relevance.
Рубрики: Application software.
   Social sciences.
   Statistical physics.
   Dynamical systems.
   Behavioral sciences.
   Game theory.
   Computer simulation.
   Computer Appl. in Social and Behavioral Sciences.
   Social Sciences, general.
   Complex Systems.
   Behavioral Sciences.
   Game Theory, Economics, Social and Behav. Sciences.
   Simulation and Modeling.
Анотація: This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual an d agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged. This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, Methodology, Mechanisms, and Applications . Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section on ‘Further Reading’. Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.

Перейти: https://doi.org/10.1007/978-3-319-66948-9

Дод.точки доступу:
Edmonds, Bruce. \ed.\; Meyer, Ruth. \ed.\; SpringerLink (Online service)
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    Sivakumar, Bellie.
    Chaos in Hydrology [[electronic resource] :] : bridging Determinism and Stochasticity / / Bellie. Sivakumar ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXX, 394 p. 62 illus., 25 illus. in color. - Б. ц.
    Зміст:
Introduction --
Part A: Hydrologic Systems and Modeling --
Characteristics of hydrologic systems and processes --
Conventional linear stochastic time series methods --
Modern nonlinear time series methods --
Part B: Nonlinear dynamics and chaos --
Fundamentals --
Identification of chaos --
Prediction of chaos --
Part C: Applications of chaos theory in hydrology --
Overview --
Applications to rainfall data --
Applications to river flow data --
Applications to other hydrologic data --
Studies on related problems. Part D: A look ahead --
Current status --
The future --
References --
Index.
Рубрики: Hydrogeology.
   Hydrology.
   Civil engineering.
   Statistical physics.
   Dynamical systems.
   Geotechnical engineering.
   Hydrogeology.
   Hydrology/Water Resources.
   Civil Engineering.
   Complex Systems.
   Geotechnical Engineering & Applied Earth Sciences.
   Statistical Physics and Dynamical Systems.
Анотація: This authoritative book presents a comprehensive account of the essential roles of nonlinear dynamic and chaos theories in understanding, modeling, and forecasting hydrologic systems. This is done through a systematic presentation of: (1) information on the salient characteristics of hydrologic systems and on the existing theories for their modeling; (2) the fundamentals of nonlinear dynamic and chaos theories, methods for chaos identification and prediction, and associated issues; (3) a review of the applications of chaos theory in hydrology; and (4) the scope and potential directions for the future. This book bridges the divide between the deterministic and the stochastic schools in hydrology, and is well suited as a textbook for hydrology courses.

Перейти: https://doi.org/10.1007/978-90-481-2552-4

Дод.точки доступу:
Sivakumar, Bellie. \.\; SpringerLink (Online service)
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    Prants, Sergey V.
    Lagrangian Oceanography [[electronic resource] :] : large-scale Transport and Mixing in the Ocean / / Sergey V. Prants, Uleysky, Michael Yu., Budyansky, Maxim V. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIV, 273 p. 157 illus., 84 illus. in color. - Б. ц.
    Зміст:
Order in Chaos in Ocean Currents --
Chaotic Mixing and Cross-Stream Transport in Idealized Models of Oceanic Currents --
Oceans from Space and Operative Oceanography --
Large-Scale Mixing and Transport in the Ocean with Synoptic Lagrangian Maps --
Identification and Study of Eddies in Altimetric and Numerically Generated Velocity Fields --
Large-Scale Mixing and Transport in the Sea of Japan/East Sea --
Impact of the Alaskan Stream Flow on Transport in the North-Western Pacific Ocean --
Lagrangian Fronts in the Ocean and Favorable Fishing Grounds --
Lagrangian Simulation of Propagation of Fukushima-Derived Radionuclides and their Monitoring in the Ocean --
Appendix. Numerical codes and receipts.
Рубрики: Statistical physics.
   Oceanography.
   Fluids.
   Environmental monitoring.
   Environmental sciences.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Oceanography.
   Fluid- and Aerodynamics.
   Monitoring/Environmental Analysis.
   Math. Appl. in Environmental Science.
Анотація: This book uses the Lagrangian approach, especially useful and convenient for studying large-scale transport and mixing in the ocean, to present a detailed view of ocean circulation. This approach focuses on simulations and on monitoring the trajectories of fluid particles, which are governed by advection equations. The first chapter of the book is devoted to dynamical systems theory methods, which provide the framework, methodology and key concepts for the Lagrangian approach. The book then moves on to an analysis of chaotic mixing and cross-stream transport in idealized models of oceanic meandering currents like the Gulfstream in the Atlantic, the Kuroshio in the Pacific, and Antarctic Circumpolar Current, after which the current state of physical oceanography is reviewed. The latter half of the book applies the techniques and methods already described in order to study eddies, currents, fronts and large-scale mixing and transport in the Far-Eastern seas and the north-western part of the Pacific Ocean. Finally, the book concludes with a discussion of Lagrangian simulation and monitoring of water contamination after the Fukushima disaster of 2011. The propagation of Fukushima-derived radionuclides, surface transport across the Kuroshio Extension current, and the role of mesoscale eddies in the transport of Fukushima-derived cesium isotopes in the ocean are examined, and a comparison of simulation results with actual measurements are presented. Written by some of the world leaders in the application of Lagrangian methods in oceanography, this title will be of benefit to the oceanographic community by presenting the necessary background of the Lagrangian approach in an accessible manner.

Перейти: https://doi.org/10.1007/978-3-319-53022-2

Дод.точки доступу:
Uleysky, Michael Yu.; Budyansky, Maxim V.; Prants, Sergey V. \.\; SpringerLink (Online service)
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    Selvam, Amujuri Mary.
    Self-organized Criticality and Predictability in Atmospheric Flows [[electronic resource] :] : the Quantum World of Clouds and Rain / / Amujuri Mary. Selvam ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIX, 139 p. 24 illus. - Б. ц.
    Зміст:
Preface --
Chapter 1 Noise or Random Fluctuations in Physical Systems: A Review --
Chapter 2 Self-Organised Criticality: A Signature of Quantum-like Chaos in Atmospheric Flows --
Chapter 3 Universal inverse power-law distribution for temperature and rainfall in the UK region --
Chapter 4 Signatures of universal characteristics of fractal fluctuations in global mean monthly temperature anomalies. .
Рубрики: Atmospheric sciences.
   Statistical physics.
   Climatology.
   Atmospheric Sciences.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Climatology.
Анотація: This book presents a new concept of General Systems Theory and its application to atmospheric physics. It reveals that energy input into the atmospheric eddy continuum, whether natural or manmade, results in enhancement of fluctuations of all scales, manifested immediately in the intensification of high-frequency fluctuations such as the Quasi-Biennial Oscillation and the El-Nino–Southern Oscillation cycles. Atmospheric flows exhibit self-organised criticality, i.e. long-range correlations in space and time manifested as fractal geometry to the spatial pattern concomitant with an inverse power law form for fluctuations of meteorological parameters such as temperature, pressure etc. Traditional meteorological theory cannot satisfactorily explain the observed self-similar space time structure of atmospheric flows. A recently developed general systems theory for fractal space-time fluctuations shows that the larger-scale fluctuation can be visualised to emerge from the space-time averaging of enclosed small-scale fluctuations, thereby generating a hierarchy of self-similar fluctuations manifested as the observed eddy continuum in power spectral analyses of fractal fluctuations. The interconnected network of eddy circulations responds as a unified whole to local perturbations such as global-scale response to El-Nino events. The general systems theory model predicts an inverse power law form incorporating the golden mean ? for the distribution of space-time fluctuation patterns and for the power (variance) spectra of the fluctuations. Since the probability distributions of amplitude and variance are the same, atmospheric flows exhibit quantumlike chaos. Long-range correlations inherent to power law distributions of fluctuations are identified as nonlocal connection or entanglement exhibited by quantum systems such as electrons or photons. The predicted distribution is close to the Gaussian distribution for small-scale fluctuations, but exhibits a fat long tail for large-scale fluctuations. Universal inverse power law for fractal fluctuations rules out unambiguously linear secular trends in climate parameters.

Перейти: https://doi.org/10.1007/978-3-319-54546-2

Дод.точки доступу:
Selvam, Amujuri Mary. \.\; SpringerLink (Online service)
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    Ye, Fred Y.
    Scientific Metrics: Towards Analytical and Quantitative Sciences [[electronic resource] /] : монография / Fred Y. Ye ; . - 1st ed. 2017. - [S. l. : s. n.]. - XV, 254 p. 49 illus., 24 illus. in color. - Б. ц.
    Зміст:
Introduction --
I Physics: linked-metrics generates vortex-world physics The Linked-measure and Linked-field for Linking Micro-particles to Macro-cosmos with Dispelling Dark Matter and Dark Energy --
The Physical Linked-measure Works as Vortex with Linking to Turbulence --
The Clifford-Finslerian Linked-field Leads Branching Multiverse --
A Clifford-Finslerian Physical Unification and Fractal Dynamics --
A Vortex Mechanism Linking Micro-particle to Macro-galaxy without Supersymmetry --
The Physical Foundations of Information and the Unified Framework of Physics --
II Economics: complex metrics leads to complex economics A Probe into the Unification of Micro-Macro-Economics: Arrow-Debreu-Mundell-Fleming Model as the Standard Model --
The Commodity-Money Analytical Framework: A Unified Approach to Micro-Macro-Economics and Complex Economics.- Economic Complex Analysis for Approaching Economic Equilibrium and Economic Stability --
Complex Economic Metrics with Scaling Money Supply --
A Synthetic Macro-economic Model Integrating Tax, Interest and Exchange Rates --
A Cubic Integrated Economic Model for Macroeconomic Analysis --
III Scientometrics: knowledge metrics and h-type metrics Measuring Knowledge: A Quantitative Approach to Knowledge Theory --
A Theoretical Unification of Informetric Models by Wave-heat Equations --
The Empirical Investigation and Theoretical Unification of Mathematical Models for the h-index --
The h-type Core Structure in Single-layer and Multilayer Weighted Information Networks --
The h-core and h-tail Distribution with Dynamic Metrics --
A Quantitative Relationship between Per Capita GDP and Scientometric Criteria.
Рубрики: Economic theory.
   Statistical physics.
   Dynamical systems.
   Computers.
   Economic Theory/Quantitative Economics/Mathematical Methods.
   Complex Systems.
   Science, Humanities and Social Sciences, multidisciplinary.
   Models and Principles.
Анотація: This book presents scientific metrics and its applications for approaching scientific findings in the field of Physics, Economics and Scientometrics. Based on a collection of the author’s publications in these fields, the book reveals the profound links between the measures and the findings in the natural laws, from micro-particles to macro-cosmos, in the economic rules of human society, and in the core knowledge among mass information. With this book the readers can gain insights or ideas on addressing the questions of how to measure the physical world, economics process and human knowledge, from the perspective of scientific metrics. The book is also useful to scientists, particularly to specialists in physics, economics and scientometrics, for promoting and stimulating their creative ideas based on scientific metrics.

Перейти: https://doi.org/10.1007/978-981-10-5936-0

Дод.точки доступу:
Ye, Fred Y. \.\; SpringerLink (Online service)
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    Applications of Sliding Mode Control in Science and Engineering [[electronic resource] /] : монография / ed.: Vaidyanathan, Sundarapandian., Lien, Chang-Hua. - 1st ed. 2017. - [S. l. : s. n.]. - XI, 470 p. 246 illus., 236 illus. in color. - Б. ц.
    Зміст:
Sliding Mode Control Design for Some Classes of Chaotic Systems --
Sliding Mode Based Control and Synchronization of Chaotic Systems in Presence of Parametric Uncertainties --
Chattering Free Sliding Mode Controller Design for a Quadrotor Unmanned Aerial Vehicle --
Terminal Sliding Mode Controller Design for a Quadrotor Unmanned Aerial Vehicle --
Insensibility of the Second Order Sliding Mode Control via Measurement Noises: Application to a Robot Manipulator Surveillance Camera --
Robust Control of a Photovoltaic Battery System via Fuzzy Sliding Mode Approach --
Particle Swarm Optimization based Sliding Mode Control Design: Application to a Quadrotor Vehicle --
Global Stabilization of Nonlinear Systems via Novel Second Order Sliding Mode Control with an Application to a Novel Highly Chaotic System --
Complete Synchronization of Chaotic Systems via Novel Second Order Sliding Mode Control with an Application to a Novel Three-Scroll Chaotic System --
Novel Second-Order Sliding Mode Control Design for the Anti-Synchronization of Chaotic Systems with an Application to a Novel Four-Wing Chaotic System --
Control and Synchronization of a Novel Hyperchaotic Two-Disk Dynamo System via Adaptive Integral Sliding Mode Control --
Adaptive Integral Sliding Mode Controller Design for the Control and Synchronization of a Rod-Type Plasma Torch Chaotic System --
Adaptive Integral Sliding Mode Controller Design for the Regulation and Synchronization of a Novel Hyperchaotic Finance System with a Stable Equilibrium --
Adaptive Integral Sliding Mode Controller Design for the Control of a Novel 6-D Coupled Double Convection Hyperchaotic System --
A Memristor-Based Hyperchaotic System with Hidden Attractor and its Sliding Mode Control --
Adaptive Integral Sliding Mode Control of a Chemical Chaotic Reactor System --
Adaptive Integral Sliding Mode Controller Design for the Control and Synchronization of a Novel Jerk Chaotic System --
Sliding Mode Control Design for a Sensorless Sun Tracker --
Super-Twisting Sliding Mode Control of the Enzymes-Substrates Biological Chaotic System --
Super-Twisting Sliding Mode Control and Synchronization of Moore-Spiegel Thermo-Mechanical Chaotic System.
Рубрики: Computational intelligence.
   Control engineering.
   Statistical physics.
   Computational Intelligence.
   Control and Systems Theory.
   Applications of Nonlinear Dynamics and Chaos Theory.
Анотація: Gathering 20 chapters contributed by respected experts, this book reports on the latest advances in and applications of sliding mode control in science and engineering. The respective chapters address applications of sliding mode control in the broad areas of chaos theory, robotics, electrical engineering, physics, chemical engineering, memristors, mechanical engineering, environmental engineering, finance, and biology. Special emphasis has been given to papers that offer practical solutions, and which examine design and modeling involving new types of sliding mode control such as higher order sliding mode control, terminal sliding mode control, super-twisting sliding mode control, and integral sliding mode control. This book serves as a unique reference guide to sliding mode control and its recent applications for graduate students and researchers with a basic knowledge of electrical and control systems engineering.

Перейти: https://doi.org/10.1007/978-3-319-55598-0

Дод.точки доступу:
Vaidyanathan, Sundarapandian. \ed.\; Lien, Chang-Hua. \ed.\; SpringerLink (Online service)
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10.

    Duriez, Thomas.
    Machine Learning Control – Taming Nonlinear Dynamics and Turbulence [[electronic resource] /] : монография / Thomas. Duriez, Brunton, Steven L., Noack, Bernd R. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XX, 211 p. 73 illus., 58 illus. in color. - Б. ц.
    Зміст:
Preface --
1 Introduction --
1.1 Feedback in engineering and living systems --
1.2 Benefits of feedback control --
1.3 Challenges of feedback control --
1.4 Feedback turbulence control is a grand challenge problem --
1.5 Nature teaches us the control design --
1.6 Outline of the book --
1.7 Exercises --
2 Machine learning control (MLC) --
2.1 Methods of machine learning --
2.2 MLC with genetic programming --
2.3 Examples --
2.4 Exercises --
2.5 Suggested reading --
2.6 Interview with Professor Marc Schoenauer --
3 Methods of linear control theory --
3.1 Linear systems --
3.2 Full-state feedback --
Linear quadratic regulator (LQR) --
3.3 Sensor-based state estimation --
Kalman filtering --
3.4 Sensor-based feedback --
Linear quadratic Gaussian (LQG) --
3.5 System Identification and Model Reduction --
3.6 Exercises --
3.7 Suggested reading --
4 Benchmarking MLC against linear control --
4.1 Comparison of MLC with LQR on a linear oscillator --
4.2 Comparison of MLC with Kalman filter on a noisy linear oscillator --
4.3 Comparison of MLC with LQG for sensor-based feedback --
4.4 Modifications for small nonlinearity --
4.5 Exercises --
4.6 Interview with Professor Shervin Bagheri --
5 Taming nonlinear dynamics with MLC --
5.1 Generalized mean-field system --
5.2 Machine learning control --
5.3 Derivation outline for the generalized mean-field model --
5.4 Alternative control approaches --
5.5 Exercises --
5.6 Suggested reading --
5.7 Interview with Professor Mark N. Glauser --
6 Taming real world flow control experiments with MLC --
6.1 Separation control over a backward-facing step --
6.2 Separation control of turbulent boundary layers --
6.3 Control of mixing layer growth --
6.4 Alternative model-based control approaches --
6.5 Implementation of MLC in experiments --
6.6 Suggested reading --
6.7 Interview with Professor David Williams --
7 MLC tactics and strategy --
7.1 The ideal flow control experiment --
7.2 Desiderata of the control problem — from the definition to hardware choices --
7.3 Time scales of MLC --
7.4 MLC parameters and convergence --
7.5 The imperfect experiment --
8 Future developments --
8.1 Methodological advances of MLC --
8.2 System-reduction techniques for MLC — Coping with high-dimensional input and output --
8.3 Future applications of MLC --
8.4 Exercises --
8.5 Interview with Professor Belinda Batten --
Glossary --
Symbols --
Abbreviations --
Matlab® Code: OpenMLC --
Bibliography --
Index. .
Рубрики: Fluid mechanics.
   Fluids.
   Control engineering.
   Microprogramming .
   Artificial intelligence.
   Statistical physics.
   Engineering Fluid Dynamics.
   Fluid- and Aerodynamics.
   Control and Systems Theory.
   Control Structures and Microprogramming.
   Artificial Intelligence.
   Applications of Nonlinear Dynamics and Chaos Theory.
Анотація: This is the first book on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube. .

Перейти: https://doi.org/10.1007/978-3-319-40624-4

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Brunton, Steven L.; Noack, Bernd R.; Duriez, Thomas. \.\; SpringerLink (Online service)
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11.

    Ren, Chiang H.
    How Systems Form and How Systems Break [[electronic resource] :] : a Beginner’s Guide for Studying the World / / Chiang H. Ren ; . - 1st ed. 2017. - [S. l. : s. n.]. - XII, 179 p. 47 illus., 1 illus. in color. - Б. ц.
    Зміст:
The Mysterious Discipline --
The Characteristics of Systems Formation --
The Characteristics of System Breakdown --
The Systems Analyst.
Рубрики: Computational complexity.
   Vibration.
   Dynamical systems.
   Dynamics.
   Statistical physics.
   System theory.
   Complexity.
   Vibration, Dynamical Systems, Control.
   Complex Systems.
   Systems Theory, Control.
   Statistical Physics and Dynamical Systems.
Анотація: Our world is composed of systems within systems—the machines we build, the information we share, the organizations we form, and elements of nature that surround us. Therefore, nearly every field of study and practice embodies behaviors stemming from system dynamics. Yet the study of systems has remained somewhat fragmented based on philosophies, methodologies, and intentions. Many methodologies for analyzing complex systems extend far beyond the traditional framework of deduction evaluation and may, thus, appear mysterious to the uninitiated. This book seeks to dispel the mysteries of systems analysis by holistically explaining the philosophies, methodologies, and intentions in the context of understanding how all types of systems in our world form and how these systems break. This presentation is made at the level of conceptual understanding, with plenty of figures but no mathematical formulas, for the beginning student and interested readers new to studying systems. Through the conceptual understanding provided, students are given a powerful capability to see the hidden behaviors and unexplained consequences in the world around us.

Перейти: https://doi.org/10.1007/978-3-319-44030-9

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Ren, Chiang H. \.\; SpringerLink (Online service)
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12.

    Chechurin, Leonid.
    Physical Fundamentals of Oscillations [[electronic resource] :] : frequency Analysis of Periodic Motion Stability / / Leonid. Chechurin, Chechurin, Sergej. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XV, 264 p. 196 illus., 33 illus. in color. - Б. ц.
    Зміст:
Continuous Systems --
Discrete Systems --
Parametric Resonances of the Second and Higher Orders --
Nonlinear System Oscillation Stability --
. Parametric Resonance in hydrodynamics --
Correction of mono-frequency approximation of nonlinear systems --
On the Robustness of dynamic systems.
Рубрики: Computational complexity.
   Control engineering.
   Statistical physics.
   Complexity.
   Control and Systems Theory.
   Applications of Nonlinear Dynamics and Chaos Theory.
Анотація: The book introduces possibly the most compact, simple and physically understandable tool that can describe, explain, predict and design the widest set of phenomena in time-variant and nonlinear oscillations. The phenomena described include parametric resonances, combined resonances, instability of forced oscillations, synchronization, distributed parameter oscillation and flatter, parametric oscillation control, robustness of oscillations and many others. Although the realm of nonlinear oscillations is enormous, the book relies on the concept of minimum knowledge for maximum understanding. This unique tool is the method of stationarization, or one frequency approximation of parametric resonance problem analysis in linear time-variant dynamic systems. The book shows how this can explain periodic motion stability in stationary nonlinear dynamic systems, and reveals the link between the harmonic stationarization coefficients and describing functions. As such, the book speaks the language of control: transfer functions, frequency response, Nyquist plot, stability margins, etc. An understanding of the physics of stability loss is the basis for the design of new oscillation control methods for, several of which are presented in the book. These and all the other findings are illustrated by numerical examples, which can be easily reproduced by readers equipped with a basic simulation package like MATLAB with Simulink. The book offers a simple tool for all those travelling through the world of oscillations, helping them discover its hidden beauty. Researchers can use the method to uncover unknown aspects, and as a reference to compare it with other, for example, abstract mathematical means. Further, it provides engineers with a minimalistic but powerful instrument based on physically measurable variables to analyze and design oscillatory systems.

Перейти: https://doi.org/10.1007/978-3-319-75154-2

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Chechurin, Sergej.; Chechurin, Leonid. \.\; SpringerLink (Online service)
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13.

    Aluf, Ofer.
    Advance Elements of Optoisolation Circuits [[electronic resource] :] : nonlinearity Applications in Engineering / / Ofer. Aluf ; . - 1st ed. 2017. - [S. l. : s. n.]. - XVIII, 824 p. - Б. ц.
    Зміст:
Optoisolation Circuits with Limit Cycles --
Optoisolation Circuits Bifurcation Analysis (I) --
Optoisolation Circuits Bifurcation Analysis (II) --
Optoisolation Circuits Analysis Floquet Theory --
Optoisolation NDR Circuits Behavior Investigation by Using Floquet Theory --
Optoisolation's Circuits with Periodic Limit-cycle Solutions Orbital Stability --
Optoisolation's Circuits Poincare Maps and Periodic Orbit.
Рубрики: Microwaves.
   Optical engineering.
   Lasers.
   Photonics.
   Statistical physics.
   Electronic circuits.
   Microwaves, RF and Optical Engineering.
   Optics, Lasers, Photonics, Optical Devices.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Circuits and Systems.
Анотація: This book on advanced optoisolation circuits for nonlinearity applications in engineering addresses two separate engineering and scientific areas, and presents advanced analysis methods for optoisolation circuits that cover a broad range of engineering applications. The book analyzes optoisolation circuits as linear and nonlinear dynamical systems and their limit cycles, bifurcation, and limit cycle stability by using Floquet theory. Further, it discusses a broad range of bifurcations related to optoisolation systems: cusp-catastrophe, Bautin bifurcation, Andronov-Hopf bifurcation, Bogdanov-Takens (BT) bifurcation, fold Hopf bifurcation, Hopf-Hopf bifurcation, Torus bifurcation (Neimark-Sacker bifurcation), and Saddle-loop or Homoclinic bifurcation. Floquet theory helps as to analyze advance optoisolation systems. Floquet theory is the study of the stability of linear periodic systems in continuous time. Another way to describe Floquet theory, it is the study of linear systems of differential equations with periodic coefficients. The optoisolation system displays a rich variety of dynamical behaviors including simple oscillations, quasi-periodicity, bi-stability between periodic states, complex periodic oscillations (including the mixed-mode type), and chaos. The route to chaos in this optoisolation system involves a torus attractor which becomes destabilized and breaks up into a fractal object, a strange attractor. The book is unique in its emphasis on practical and innovative engineering applications. These include optocouplers in a variety of topological structures, passive components, conservative elements, dissipative elements, active devices, etc. In each chapter, the concept is developed from the basic assumptions up to the final engineering outcomes. The scientific background is explained at basic and advanced levels and closely integrated with mathematical theory. The book is primarily intended for newcomers to linear and nonlinear dynamics and advanced optoisolation circuits, as well as electrical and electronic engineers, students and researchers in physics who read the first book “Optoisolation Circuits Nonlinearity Applications in Engineering”. It is ideally suited for engineers who have had no formal instruction in nonlinear dynamics, but who now desire to bridge the gap between innovative optoisolation circuits and advanced mathematical analysis methods.

Перейти: https://doi.org/10.1007/978-3-319-55316-0

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Aluf, Ofer. \.\; SpringerLink (Online service)
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14.

    Luo, Albert C. J.
    Memorized Discrete Systems and Time-delay [[electronic resource] /] : монография / Albert C. J. Luo ; . - 1st ed. 2017. - [S. l. : s. n.]. - X, 298 p. 35 illus., 17 illus. in color. - Б. ц.
    Зміст:
Memorized Linear Discrete Systems --
Memorized Nonlinear Discrete Systems --
Discretization of Time-delay Systems --
Periodic Flows in Time-delay Systems --
Time-delay Duffing Oscillator.
Рубрики: Computational complexity.
   Statistical physics.
   System theory.
   Systems biology.
   Econometrics.
   Complexity.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Complex Systems.
   Systems Biology.
   Econometrics.
Анотація: This book examines discrete dynamical systems with memory—nonlinear systems that exist extensively in biological organisms and financial and economic organizations, and time-delay systems that can be discretized into the memorized, discrete dynamical systems. It book further discusses stability and bifurcations of time-delay dynamical systems that can be investigated through memorized dynamical systems as well as bifurcations of memorized nonlinear dynamical systems, discretization methods of time-delay systems, and periodic motions to chaos in nonlinear time-delay systems. The book helps readers find analytical solutions of MDS, change traditional perturbation analysis in time-delay systems, detect motion complexity and singularity in MDS; and determine stability, bifurcation, and chaos in any time-delay system.

Перейти: https://doi.org/10.1007/978-3-319-42778-2

Дод.точки доступу:
Luo, Albert C. J. \.\; SpringerLink (Online service)
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15.

    Liu, Xinzhi.
    Infectious Disease Modeling [[electronic resource] :] : a Hybrid System Approach / / Xinzhi. Liu, Stechlinski, Peter. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XVI, 271 p. 72 illus., 67 illus. in color. - Б. ц.
    Зміст:
Introduction --
Modelling the Spread of an Infectious Disease --
Hybrid Epidemic Models --
Control Strategies for Eradication --
Discussions and Conclusions --
References --
Appendix.
Рубрики: Mathematical models.
   Infectious diseases.
   Computational complexity.
   Statistical physics.
   Epidemiology.
   Mathematical Modeling and Industrial Mathematics.
   Infectious Diseases.
   Complexity.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Epidemiology.
Анотація: This volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework. The scope of coverage includes background on mathematical epidemiology, including classical formulations and results; a motivation for seasonal effects and changes in population behavior, an investigation into term-time forced epidemic models with switching parameters, and a detailed account of several different control strategies. The main goal is to study these models theoretically and to establish conditions under which eradication or persistence of the disease is guaranteed. In doing so, the long-term behavior of the models is determined through mathematical techniques from switched systems theory. Numerical simulations are also given to augment and illustrate the theoretical results and to help study the efficacy of the control schemes.

Перейти: https://doi.org/10.1007/978-3-319-53208-0

Дод.точки доступу:
Stechlinski, Peter.; Liu, Xinzhi. \.\; SpringerLink (Online service)
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16.

    Bertodano, Martin Lopez de.
    Two-Fluid Model Stability, Simulation and Chaos [[electronic resource] /] : монография / Martin Lopez de. Bertodano, Fullmer, William., Clausse, Alejandro., Ransom, Victor H. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XX, 358 p. 74 illus., 60 illus. in color. - Б. ц.
    Зміст:
Introduction --
Fixed-Flux Model --
Two-Fluid Model --
Fixed-Flux Model Chaos --
Fixed-Flux Model --
Drift-Flux Model --
Drift-Flux Model Non-Linear Dynamics and Chaos --
RELAP5 Two-Fluid Model --
Two-Fluid Model CFD.
Рубрики: Nuclear energy.
   Fluid mechanics.
   Statistical physics.
   Thermodynamics.
   Heat engineering.
   Heat transfer.
   Mass transfer.
   Chemical engineering.
   Nuclear Energy.
   Engineering Fluid Dynamics.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Engineering Thermodynamics, Heat and Mass Transfer.
   Industrial Chemistry/Chemical Engineering.
   Nuclear Energy.
Анотація: This book addresses the linear and nonlinear two-phase stability of the one-dimensional Two-Fluid Model (TFM) material waves and the numerical methods used to solve it. The TFM fluid dynamic stability is a problem that remains open since its inception more than forty years ago. The difficulty is formidable because it involves the combined challenges of two-phase topological structure and turbulence, both nonlinear phenomena. The one dimensional approach permits the separation of the former from the latter. The authors first analyze the kinematic and Kelvin-Helmholtz instabilities with the simplified one-dimensional Fixed-Flux Model (FFM). They then analyze the density wave instability with the well-known Drift-Flux Model. They demonstrate that the Fixed-Flux and Drift-Flux assumptions are two complementary TFM simplifications that address two-phase local and global linear instabilities separately. Furthermore, they demonstrate with a well-posed FFM and a DFM two cases of nonlinear two-phase behavior that are chaotic and Lyapunov stable. On the practical side, they also assess the regularization of an ill-posed one-dimensional TFM industrial code. Furthermore, the one-dimensional stability analyses are applied to obtain well-posed CFD TFMs that are either stable (RANS) or Lyapunov stable (URANS), with the focus on numerical convergence.

Перейти: https://doi.org/10.1007/978-3-319-44968-5

Дод.точки доступу:
Fullmer, William.; Clausse, Alejandro.; Ransom, Victor H.; Bertodano, Martin Lopez de. \.\; SpringerLink (Online service)
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17.

    Stein Shiromoto, Shiromoto, Humberto.
    Design and Analysis of Control Systems [[electronic resource] :] : case Studies / / Shiromoto, Humberto. Stein Shiromoto ; . - 1st ed. 2017. - [S. l. : s. n.]. - XI, 90 p. 9 illus., 6 illus. in color. - Б. ц.
Рубрики: Applied mathematics.
   Engineering mathematics.
   Control engineering.
   Robotics.
   Mechatronics.
   Statistical physics.
   Mathematical and Computational Engineering.
   Control, Robotics, Mechatronics.
   Applications of Nonlinear Dynamics and Chaos Theory.
Анотація: This book provides methods to unify different approaches to tackle stability theory problems. In particular, it presents a methodology to blend approaches obtained from measure theory with methods obtained from Lyapunov’s stability theory. The author summarizes recent works on how different analysis/design methods can be unified and employed for systems that do not belong to either of domains of validity.

Перейти: https://doi.org/10.1007/978-3-319-52012-4

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Stein Shiromoto, Humberto. \.\; SpringerLink (Online service)
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18.

    Tepljakov, Aleksei.
    Fractional-order Modeling and Control of Dynamic Systems [[electronic resource] /] : монография / Aleksei. Tepljakov ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIX, 173 p. 79 illus., 52 illus. in color. - Б. ц.
    Зміст:
Introduction,- Preliminaries --
Identification of Fractional-order Models --
Fractional-order PID Controller Design --
Implementation of Fractional-order Models and Controllers --
FOMCON: Fractional-order Modeling and Control Toolbox --
Applications of Fractional-order Control.
Рубрики: Computational complexity.
   Control engineering.
   Statistical physics.
   Quality control.
   Reliability.
   Industrial safety.
   Complexity.
   Control and Systems Theory.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Quality Control, Reliability, Safety and Risk.
Анотація: This book reports on an outstanding research devoted to modeling and control of dynamic systems using fractional-order calculus. It describes the development of model-based control design methods for systems described by fractional dynamic models. More than 300 years had passed since Newton and Leibniz developed a set of mathematical tools we now know as calculus. Ever since then the idea of non-integer derivatives and integrals, universally referred to as fractional calculus, has been of interest to many researchers. However, due to various issues, the usage of fractional-order models in real-life applications was limited. Advances in modern computer science made it possible to apply efficient numerical methods to the computation of fractional derivatives and integrals. This book describes novel methods developed by the author for fractional modeling and control, together with their successful application in real-world process control scenarios. .

Перейти: https://doi.org/10.1007/978-3-319-52950-9

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Tepljakov, Aleksei. \.\; SpringerLink (Online service)
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19.

    Cao, Qingjie.
    A Smooth and Discontinuous Oscillator [[electronic resource] :] : theory, Methodology and Applications / / Qingjie. Cao, Leger, Alain. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIX, 262 p. 131 illus., 54 illus. in color. - Б. ц.
    Зміст:
Background: Nonlinear Systems --
An Smooth and Discontinuous (SD) Oscillator --
Bifurcation Behaviour --
Periodic Motions of the Perturbed SD Oscillator --
The Exact Solutions --
Chaotic Motions of the SD Oscillator --
Experimental Investigation of the SD Oscillator --
Applications in Structural Dynamics --
Applications in Engineering Isolation --
Challenges and the Open Problems.
Рубрики: Vibration.
   Dynamical systems.
   Dynamics.
   Statistical physics.
   Mechanics.
   Mathematical models.
   Vibration, Dynamical Systems, Control.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Classical Mechanics.
   Mathematical Modeling and Industrial Mathematics.
Анотація: This is the first book to introduce the irrational elliptic function series, providing a theoretical treatment for the smooth and discontinuous system and opening a new branch of applied mathematics. The discovery of the smooth and discontinuous (SD) oscillator and the SD attractors discussed in this book represents a further milestone in nonlinear dynamics, following on the discovery of the Ueda attractor in 1961 and Lorenz attractor in 1963. This particular system bears significant similarities to the Duffing oscillator, exhibiting the standard dynamics governed by the hyperbolic structure associated with the stationary state of the double well. However, there is a substantial departure in nonlinear dynamics from standard dynamics at the discontinuous stage. The constructed irrational elliptic function series, which offers a way to directly approach the nature dynamics analytically for both smooth and discontinuous behaviours including the unperturbed periodic motions and th e perturbed chaotic attractors without any truncation, is of particular interest. Readers will also gain a deeper understanding of the actual nonlinear phenomena by means of a simple mechanical model: the theory, methodology, and the applications in various interlinked disciplines of sciences and engineering. This book offers a valuable resource for researchers, professionals and postgraduate students in mechanical engineering, non-linear dynamics, and related areas, such as nonlinear modelling in various fields of mathematics, physics and the engineering sciences.

Перейти: https://doi.org/10.1007/978-3-662-53094-8

Дод.точки доступу:
Leger, Alain.; Cao, Qingjie. \.\; SpringerLink (Online service)
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20.

    Han, Qingkai.
    Dynamics and Vibration Analyses of Gearbox in Wind Turbine [[electronic resource] /] : монография / Qingkai. Han, Wei, Jing., Han, Qingpeng., Zhang, Hao. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XII, 164 p. 88 illus., 68 illus. in color. - Б. ц.
    Зміст:
Introduction --
Structure Description and Modeling Methods --
Torsional Dynamics of Geared Rotor System in Wind Turbine Gearbox --
Parameter optimization for planetary gear system based on torsional dynamics --
The influence of shaft misalignment on PLSC and SLSC of geared rotor systems based on torsional dynamics --
Modal analyses based on the whole gearbox FE model --
Vibration measurements of gearbox --
Vibration signal analyses of gearbox in time domain, frequency domain and time-frequency domains --
Conclusions.
Рубрики: Vibration.
   Dynamical systems.
   Dynamics.
   Statistical physics.
   Renewable energy resources.
   Fluid mechanics.
   Vibration, Dynamical Systems, Control.
   Applications of Nonlinear Dynamics and Chaos Theory.
   Renewable and Green Energy.
   Engineering Fluid Dynamics.
Анотація: This book explores the dynamics and vibration properties of gearboxes, with a focus on geared rotor systems. It discusses mechanical theories, finite-element based simulations, experimental measurements and vibration signal processing techniques. It introduces the vibration-resonance calculation method for the geared rotor system in wind turbines and load sharing of the planetary gear train, and offers a method for calculating the vibrations of geared rotor systems under either internal excitations from gear sets or external loads transferred from wind loads. It also defines and elaborates on parameter optimization for planetary gear systems based on the torsional dynamics of wind-turbine geared rotor systems. Moreover, it describes experimental measurements of vibrations on the wind-turbine gearbox performed on the test rig and on site, and analyzes the vibration signals of different testing points, showing them in both time and frequency domains. Lastly, it lists the gear coupling frequencies and fault characteristic frequencies from the vibrations of the gearbox housing. The technologies and results presented are valuable resources for use in dynamic design, vibration prediction and analysis of gearboxes and geared rotor systems in wind turbines as well as many other machines. .

Перейти: https://doi.org/10.1007/978-981-10-2747-5

Дод.точки доступу:
Wei, Jing.; Han, Qingpeng.; Zhang, Hao.; Han, Qingkai. \.\; SpringerLink (Online service)
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(Асоціація ЕБНІТ)