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Título : System Identification with Quantized Observations Tipo de documento: documento electrónico Autores: Wang, Le Yi ; SpringerLink (Online service) ; Yin, G. George ; Zhang, Ji-Feng ; Zhao, Yanlong Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2010 Colección: Systems & Control: Foundations & Applications Número de páginas: XVIII, 317 p. 42 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4956-2 Idioma : Inglés (eng) Palabras clave: Mathematics System theory Algorithms Mathematical models Probabilities Control engineering Electrical Systems Theory, Modeling and Industrial Communications Engineering, Networks Probability Theory Stochastic Processes Clasificación: 51 Matemáticas Resumen: This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor networks, mobile agents, coordinated data fusion, remote sensing, telemedicine, and other fields in which noise-corrupted quantized data need to be processed. Providing a comprehensive coverage of quantized identification, the book treats linear and nonlinear systems, as well as time-invariant and time-varying systems. The authors examine independent and dependent noises, stochastic- and deterministic-bounded noises, and also noises with unknown distribution functions. The key methodologies combine empirical measures and information-theoretic approaches to derive identification algorithms, provide convergence and convergence speed, establish efficiency of estimation, and explore input design, threshold selection and adaptation, and complexity analysis. System Identification with Quantized Observations is an excellent resource for graduate students, systems theorists, control engineers, applied mathematicians, as well as practitioners who use identification algorithms in their work. Selected material from the book may be used in graduate-level courses on system identification Nota de contenido: Overview -- System Settings -- Stochastic Methods for Linear Systems -- Empirical-Measure-Based Identification: Binary-Valued Observations -- Estimation Error Bounds: Including Unmodeled Dynamics -- Rational Systems -- Quantized Identification and Asymptotic Efficiency -- Input Design for Identification in Connected Systems -- Identification of Sensor Thresholds and Noise Distribution Functions -- Deterministic Methods for Linear Systems -- Worst-Case Identification under Binary-Valued Observations -- Worst-Case Identification Using Quantized Observations -- Identification of Nonlinear and Switching Systems -- Identification of Wiener Systems with Binary-Valued Observations -- Identification of Hammerstein Systems with Quantized Observations -- Systems with Markovian Parameters -- Complexity Analysis -- Space and Time Complexities, Threshold Selection, Adaptation -- Impact of Communication Channels on System Identification En línea: http://dx.doi.org/10.1007/978-0-8176-4956-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33559 System Identification with Quantized Observations [documento electrónico] / Wang, Le Yi ; SpringerLink (Online service) ; Yin, G. George ; Zhang, Ji-Feng ; Zhao, Yanlong . - Boston : Birkhäuser Boston, 2010 . - XVIII, 317 p. 42 illus : online resource. - (Systems & Control: Foundations & Applications) .
ISBN : 978-0-8176-4956-2
Idioma : Inglés (eng)
Palabras clave: Mathematics System theory Algorithms Mathematical models Probabilities Control engineering Electrical Systems Theory, Modeling and Industrial Communications Engineering, Networks Probability Theory Stochastic Processes Clasificación: 51 Matemáticas Resumen: This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor networks, mobile agents, coordinated data fusion, remote sensing, telemedicine, and other fields in which noise-corrupted quantized data need to be processed. Providing a comprehensive coverage of quantized identification, the book treats linear and nonlinear systems, as well as time-invariant and time-varying systems. The authors examine independent and dependent noises, stochastic- and deterministic-bounded noises, and also noises with unknown distribution functions. The key methodologies combine empirical measures and information-theoretic approaches to derive identification algorithms, provide convergence and convergence speed, establish efficiency of estimation, and explore input design, threshold selection and adaptation, and complexity analysis. System Identification with Quantized Observations is an excellent resource for graduate students, systems theorists, control engineers, applied mathematicians, as well as practitioners who use identification algorithms in their work. Selected material from the book may be used in graduate-level courses on system identification Nota de contenido: Overview -- System Settings -- Stochastic Methods for Linear Systems -- Empirical-Measure-Based Identification: Binary-Valued Observations -- Estimation Error Bounds: Including Unmodeled Dynamics -- Rational Systems -- Quantized Identification and Asymptotic Efficiency -- Input Design for Identification in Connected Systems -- Identification of Sensor Thresholds and Noise Distribution Functions -- Deterministic Methods for Linear Systems -- Worst-Case Identification under Binary-Valued Observations -- Worst-Case Identification Using Quantized Observations -- Identification of Nonlinear and Switching Systems -- Identification of Wiener Systems with Binary-Valued Observations -- Identification of Hammerstein Systems with Quantized Observations -- Systems with Markovian Parameters -- Complexity Analysis -- Space and Time Complexities, Threshold Selection, Adaptation -- Impact of Communication Channels on System Identification En línea: http://dx.doi.org/10.1007/978-0-8176-4956-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33559 Ejemplares
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Título : Optimization and Control of Bilinear Systems : Theory, Algorithms, and Applications Tipo de documento: documento electrónico Autores: Pardalos, Panos M ; SpringerLink (Online service) ; Yatsenko, Vitaliy Editorial: Boston, MA : Springer US Fecha de publicación: 2008 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 11 Número de páginas: XXVI, 370 p. 40 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-73669-3 Idioma : Inglés (eng) Palabras clave: Mathematics System theory Mathematical optimization Calculus of variations Quantum physics computers Spintronics Vibration Dynamical systems Dynamics Systems Theory, Control Optimization Variations and Optimal Control; Vibration, Systems, Physics Information Technology, Clasificación: 51 Matemáticas Resumen: The purpose of this book is to acquaint the reader with the developments in bilinear systems theory and its applications. Bilinear systems can be used to represent a wide range of physical, chemical, biological, and social systems, as well as manufacturing processes, which cannot be effectively modeled under the assumption of linearity. This book provides a unified approach for the identification and control of nonlinear complex objects that can be transformed into bilinear systems, with a focus on the control of open physical processes functioning in a non-equilibrium mode. The material is intended for graduate students, researchers, and specialists engaged in the fields of quantum and molecular computing, control of physical processes, biophysics, superconducting levitation, physical information science, mathematics, and engineering Nota de contenido: System-Theoretical Description of Open Physical Processes -- Control of Bilinear Systems -- Bilinear Systems and Nonlinear Estimation Theory -- Control Of Dynamical Processes And Geometrical Structures -- Superconducting Levitation and Bilinear Systems -- Optimization And Control Of Quantum-Mechanical Processes -- Modeling And Global Optimization In Biomolecular Systems -- Modeling And Analysis Of Bilinear Systems En línea: http://dx.doi.org/10.1007/978-0-387-73669-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34182 Optimization and Control of Bilinear Systems : Theory, Algorithms, and Applications [documento electrónico] / Pardalos, Panos M ; SpringerLink (Online service) ; Yatsenko, Vitaliy . - Boston, MA : Springer US, 2008 . - XXVI, 370 p. 40 illus : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 11) .
ISBN : 978-0-387-73669-3
Idioma : Inglés (eng)
Palabras clave: Mathematics System theory Mathematical optimization Calculus of variations Quantum physics computers Spintronics Vibration Dynamical systems Dynamics Systems Theory, Control Optimization Variations and Optimal Control; Vibration, Systems, Physics Information Technology, Clasificación: 51 Matemáticas Resumen: The purpose of this book is to acquaint the reader with the developments in bilinear systems theory and its applications. Bilinear systems can be used to represent a wide range of physical, chemical, biological, and social systems, as well as manufacturing processes, which cannot be effectively modeled under the assumption of linearity. This book provides a unified approach for the identification and control of nonlinear complex objects that can be transformed into bilinear systems, with a focus on the control of open physical processes functioning in a non-equilibrium mode. The material is intended for graduate students, researchers, and specialists engaged in the fields of quantum and molecular computing, control of physical processes, biophysics, superconducting levitation, physical information science, mathematics, and engineering Nota de contenido: System-Theoretical Description of Open Physical Processes -- Control of Bilinear Systems -- Bilinear Systems and Nonlinear Estimation Theory -- Control Of Dynamical Processes And Geometrical Structures -- Superconducting Levitation and Bilinear Systems -- Optimization And Control Of Quantum-Mechanical Processes -- Modeling And Global Optimization In Biomolecular Systems -- Modeling And Analysis Of Bilinear Systems En línea: http://dx.doi.org/10.1007/978-0-387-73669-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34182 Ejemplares
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Título : Current Trends in Nonlinear Systems and Control : In Honor of Petar Kokotovic and Turi Nicosia Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Menini, Laura ; Zaccarian, Luca ; Chaouki T. Abdallah Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2006 Colección: Systems and Control: Foundations & Applications Número de páginas: XX, 560 p. 162 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4470-3 Idioma : Inglés (eng) Palabras clave: Engineering System theory Calculus of variations Complexity, Computational Vibration Dynamical systems Dynamics Control engineering Robotics Mechatronics Systems Theory, Control, Robotics, Vibration, Systems, Complexity Variations and Optimal Control; Optimization Clasificación: 51 Matemáticas Resumen: This volume is an outgrowth of the workshop "Applications of Advanced Control Theory to Robotics and Automation,” organized in honor of the 70th birthdays of Petar V. Kokotovic and Salvatore (Turi) Nicosia. Both Petar and Turi have carried out distinguished work in the control community and have long been recognized as mentors, experts, and pioneers in the field of automatic control, covering many topics in control theory and several different applications. The variety of their research is reflected in this book, which includes contributions from leading experts in the field ranging from mathematics to laboratory experiments. Main topics covered include: * State Estimation and Identification: observer designs for nonlinear systems and linear time-delay systems, as well as identification techniques for linear, nonlinear, piecewise linear, and hybrid systems. * Control and System Theory: theoretical results related to the analysis and control of dynamical systems, including a presentation of Lyapunov tools for linear differential inclusions, a study of the control of constrained systems, and a treatment of finite-time stability concepts. * Robotics: new studies of robot manipulators, parameter identification, and different control problems for mobile robots. * Control of Electromechanical Systems: applications of modern control techniques to port-controlled Hamiltonian systems, different classes of vehicles, and web processing systems. * Manufacturing Systems: applications of the max-plus algebra to system aggregation, optimal machine scheduling problems, and inventory control with cooperation between retailers. * Networked Control Systems: analysis and design problems related to linear and nonlinear networked control systems. The scope of the work is quite broad, and although each chapter is self-contained, the book has been organized into thematically related chapters, and in some cases, convenient reading sequences are suggested to the reader. The wide variety of topics covered and the tutorial writing style used by many of the contributors will make this book suitable for experts, as well as young researchers who seek a more intuitive understanding of these relevant topics in the field Nota de contenido: State Estimation and Identification -- Circle-Criterion Observers and Their Feedback Applications: An Overview -- Unknown Input Observers and Residual Generators for Linear Time Delay Systems -- Set Membership Identification: The H ? Case -- Algebraic Methods for Nonlinear Systems: Parameter Identification and State Estimation -- Recent Techniques for the Identification of Piecewise Affine and Hybrid Systems -- Control and System Theory -- Dual Matrix Inequalities in Stability and Performance Analysis of Linear Differential/Difference Inclusions -- Oscillators as Systems and Synchrony as a Design Principle -- Nonlinear Anti-windup for Exponentially Unstable Linear Plants -- Constrained Pole Assignment Control -- An Overview of Finite-Time Stability -- Finite-Time Control of Linear Systems: A Survey -- Robotics -- An Application of Iterative Identification and Control in the Robotics Field -- Friction Identification and Model-Based Digital Control of a Direct-Drive Manipulator -- A Singular Perturbation Approach to Control of Flexible Arms in Compliant Motion -- Fault Tolerant Tracking of a Robot Manipulator: An Internal Model Based Approach -- Set Membership Localization and Map Building for Mobile Robots -- Visual Servoing with Central Catadioptric Camera -- Motion Control and Coordination in Mechanical and Robotic Systems -- Coordination of Robot Teams: A Decentralized Approach -- Control of Electromechanical Systems -- Transient Stabilization of Multimachine Power Systems -- Robust Controllers for Large-Scale Interconnected Systems: Applications to Web Processing Machines -- Control Strategy Using Vision for the Stabilization of an Experimental PVTOL Aircraft Setup -- Neural Network Model Reference Adaptive Control of Marine Vehicles -- Manufacturing Systems -- Projection and Aggregation in Maxplus Algebra -- A Switched System Model for the Optimal Control of Two Symmetric Competing Queues with Finite Capacity -- Cooperative Inventory Control -- Networked Control Systems -- Communication Logic Design and Analysis for Networked Control Systems -- Networked Decentralized Control of Multirate Sampled-Data Systems -- Finite-Time Stability for Nonlinear Networked Control Systems En línea: http://dx.doi.org/10.1007/0-8176-4470-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34863 Current Trends in Nonlinear Systems and Control : In Honor of Petar Kokotovic and Turi Nicosia [documento electrónico] / SpringerLink (Online service) ; Menini, Laura ; Zaccarian, Luca ; Chaouki T. Abdallah . - Boston, MA : Birkhäuser Boston, 2006 . - XX, 560 p. 162 illus : online resource. - (Systems and Control: Foundations & Applications) .
ISBN : 978-0-8176-4470-3
Idioma : Inglés (eng)
Palabras clave: Engineering System theory Calculus of variations Complexity, Computational Vibration Dynamical systems Dynamics Control engineering Robotics Mechatronics Systems Theory, Control, Robotics, Vibration, Systems, Complexity Variations and Optimal Control; Optimization Clasificación: 51 Matemáticas Resumen: This volume is an outgrowth of the workshop "Applications of Advanced Control Theory to Robotics and Automation,” organized in honor of the 70th birthdays of Petar V. Kokotovic and Salvatore (Turi) Nicosia. Both Petar and Turi have carried out distinguished work in the control community and have long been recognized as mentors, experts, and pioneers in the field of automatic control, covering many topics in control theory and several different applications. The variety of their research is reflected in this book, which includes contributions from leading experts in the field ranging from mathematics to laboratory experiments. Main topics covered include: * State Estimation and Identification: observer designs for nonlinear systems and linear time-delay systems, as well as identification techniques for linear, nonlinear, piecewise linear, and hybrid systems. * Control and System Theory: theoretical results related to the analysis and control of dynamical systems, including a presentation of Lyapunov tools for linear differential inclusions, a study of the control of constrained systems, and a treatment of finite-time stability concepts. * Robotics: new studies of robot manipulators, parameter identification, and different control problems for mobile robots. * Control of Electromechanical Systems: applications of modern control techniques to port-controlled Hamiltonian systems, different classes of vehicles, and web processing systems. * Manufacturing Systems: applications of the max-plus algebra to system aggregation, optimal machine scheduling problems, and inventory control with cooperation between retailers. * Networked Control Systems: analysis and design problems related to linear and nonlinear networked control systems. The scope of the work is quite broad, and although each chapter is self-contained, the book has been organized into thematically related chapters, and in some cases, convenient reading sequences are suggested to the reader. The wide variety of topics covered and the tutorial writing style used by many of the contributors will make this book suitable for experts, as well as young researchers who seek a more intuitive understanding of these relevant topics in the field Nota de contenido: State Estimation and Identification -- Circle-Criterion Observers and Their Feedback Applications: An Overview -- Unknown Input Observers and Residual Generators for Linear Time Delay Systems -- Set Membership Identification: The H ? Case -- Algebraic Methods for Nonlinear Systems: Parameter Identification and State Estimation -- Recent Techniques for the Identification of Piecewise Affine and Hybrid Systems -- Control and System Theory -- Dual Matrix Inequalities in Stability and Performance Analysis of Linear Differential/Difference Inclusions -- Oscillators as Systems and Synchrony as a Design Principle -- Nonlinear Anti-windup for Exponentially Unstable Linear Plants -- Constrained Pole Assignment Control -- An Overview of Finite-Time Stability -- Finite-Time Control of Linear Systems: A Survey -- Robotics -- An Application of Iterative Identification and Control in the Robotics Field -- Friction Identification and Model-Based Digital Control of a Direct-Drive Manipulator -- A Singular Perturbation Approach to Control of Flexible Arms in Compliant Motion -- Fault Tolerant Tracking of a Robot Manipulator: An Internal Model Based Approach -- Set Membership Localization and Map Building for Mobile Robots -- Visual Servoing with Central Catadioptric Camera -- Motion Control and Coordination in Mechanical and Robotic Systems -- Coordination of Robot Teams: A Decentralized Approach -- Control of Electromechanical Systems -- Transient Stabilization of Multimachine Power Systems -- Robust Controllers for Large-Scale Interconnected Systems: Applications to Web Processing Machines -- Control Strategy Using Vision for the Stabilization of an Experimental PVTOL Aircraft Setup -- Neural Network Model Reference Adaptive Control of Marine Vehicles -- Manufacturing Systems -- Projection and Aggregation in Maxplus Algebra -- A Switched System Model for the Optimal Control of Two Symmetric Competing Queues with Finite Capacity -- Cooperative Inventory Control -- Networked Control Systems -- Communication Logic Design and Analysis for Networked Control Systems -- Networked Decentralized Control of Multirate Sampled-Data Systems -- Finite-Time Stability for Nonlinear Networked Control Systems En línea: http://dx.doi.org/10.1007/0-8176-4470-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34863 Ejemplares
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Título : System Identification Using Regular and Quantized Observations : Applications of Large Deviations Principles Tipo de documento: documento electrónico Autores: He, Qi ; SpringerLink (Online service) ; Wang, Le Yi ; Yin, G. George Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: SpringerBriefs in Mathematics, ISSN 2191-8198 Número de páginas: XII, 95 p. 17 illus., 16 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-6292-7 Idioma : Inglés (eng) Palabras clave: Mathematics System theory Probabilities Control engineering Systems Theory, Probability Theory and Stochastic Processes Clasificación: 51 Matemáticas Resumen: This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular. By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications Nota de contenido: Introduction and Overview.- System Identification: Formulation.- Large Deviations: An Introduction.- LDP under I.I.D. Noises.- LDP under Mixing Noises.- Applications to Battery Diagnosis.- Applications to Medical Signal Processing.-Applications to Electric Machines -- Remarks and Conclusion -- References -- Index En línea: http://dx.doi.org/10.1007/978-1-4614-6292-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32296 System Identification Using Regular and Quantized Observations : Applications of Large Deviations Principles [documento electrónico] / He, Qi ; SpringerLink (Online service) ; Wang, Le Yi ; Yin, G. George . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XII, 95 p. 17 illus., 16 illus. in color : online resource. - (SpringerBriefs in Mathematics, ISSN 2191-8198) .
ISBN : 978-1-4614-6292-7
Idioma : Inglés (eng)
Palabras clave: Mathematics System theory Probabilities Control engineering Systems Theory, Probability Theory and Stochastic Processes Clasificación: 51 Matemáticas Resumen: This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular. By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications Nota de contenido: Introduction and Overview.- System Identification: Formulation.- Large Deviations: An Introduction.- LDP under I.I.D. Noises.- LDP under Mixing Noises.- Applications to Battery Diagnosis.- Applications to Medical Signal Processing.-Applications to Electric Machines -- Remarks and Conclusion -- References -- Index En línea: http://dx.doi.org/10.1007/978-1-4614-6292-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32296 Ejemplares
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Título : Discontinuous Dynamical Systems Tipo de documento: documento electrónico Autores: Luo, Albert C. J ; SpringerLink (Online service) Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2012 Número de páginas: XI, 692 p. 220 illus., 170 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-22461-4 Idioma : Inglés (eng) Palabras clave: Mathematics System theory Statistical physics Vibration Dynamical systems Dynamics Systems Theory, Control Nonlinear Vibration, Systems, Clasificación: 51 Matemáticas Resumen: “Discontinuous Dynamical Systems” presents a theory of dynamics and flow switchability in discontinuous dynamical systems, which can be as the mathematical foundation for a new dynamics of dynamical system networks. The book includes a theory for flow barriers and passability to boundaries in discontinuous dynamical systems that will completely change traditional concepts and ideas in the field of dynamical systems. Edge dynamics and switching complexity of flows in discontinuous dynamical systems are explored in the book and provide the mathematical basis for developing the attractive network channels in dynamical systems. The theory of bouncing flows to boundaries, edges and vertexes in discontinuous dynamical systems with multi-valued vector fields is described in the book as a “billiard” theory of dynamical system networks. The theory of dynamical system interactions in discontinued dynamical systems can be used as a general principle in dynamical system networks, which is applied to dynamical system synchronization. The book represents a valuable reference work for university professors and researchers in applied mathematics, physics, mechanics, and control. Dr. Albert C.J. Luo is an internationally respected professor in nonlinear dynamics and mechanics, and he works at Southern Illinois University Edwardsville, USA Nota de contenido: Introduction -- Introduction to Flow Passability -- Singularity and Flow Passability -- Flow Barriers and Switchability -- Transport Laws and Multi-valued Vector Fields -- Switchability and Attractivity of Domain Flows -- Dynamics and Singularity of Boundary Flows -- Edge Dynamics and Switching Complexity -- Dynamical System Interactions En línea: http://dx.doi.org/10.1007/978-3-642-22461-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32925 Discontinuous Dynamical Systems [documento electrónico] / Luo, Albert C. J ; SpringerLink (Online service) . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2012 . - XI, 692 p. 220 illus., 170 illus. in color : online resource.
ISBN : 978-3-642-22461-4
Idioma : Inglés (eng)
Palabras clave: Mathematics System theory Statistical physics Vibration Dynamical systems Dynamics Systems Theory, Control Nonlinear Vibration, Systems, Clasificación: 51 Matemáticas Resumen: “Discontinuous Dynamical Systems” presents a theory of dynamics and flow switchability in discontinuous dynamical systems, which can be as the mathematical foundation for a new dynamics of dynamical system networks. The book includes a theory for flow barriers and passability to boundaries in discontinuous dynamical systems that will completely change traditional concepts and ideas in the field of dynamical systems. Edge dynamics and switching complexity of flows in discontinuous dynamical systems are explored in the book and provide the mathematical basis for developing the attractive network channels in dynamical systems. The theory of bouncing flows to boundaries, edges and vertexes in discontinuous dynamical systems with multi-valued vector fields is described in the book as a “billiard” theory of dynamical system networks. The theory of dynamical system interactions in discontinued dynamical systems can be used as a general principle in dynamical system networks, which is applied to dynamical system synchronization. The book represents a valuable reference work for university professors and researchers in applied mathematics, physics, mechanics, and control. Dr. Albert C.J. Luo is an internationally respected professor in nonlinear dynamics and mechanics, and he works at Southern Illinois University Edwardsville, USA Nota de contenido: Introduction -- Introduction to Flow Passability -- Singularity and Flow Passability -- Flow Barriers and Switchability -- Transport Laws and Multi-valued Vector Fields -- Switchability and Attractivity of Domain Flows -- Dynamics and Singularity of Boundary Flows -- Edge Dynamics and Switching Complexity -- Dynamical System Interactions En línea: http://dx.doi.org/10.1007/978-3-642-22461-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32925 Ejemplares
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