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Stability and Control of Dynamical Systems with Applications: A Tribute to Anthony N. Michel

Stability and Control of Dynamical Systems with Applications: A Tribute to Anthony N. Michel (Hardcover, 2003)

Derong Liu (지은이), Panos J. Antsaklis (엮은이)
  |  
BIRKHAUSER
2003-06-24
  |  
279,350원

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Stability and Control of Dynamical Systems with Applications: A Tribute to Anthony N. Michel

책 정보

· 제목 : Stability and Control of Dynamical Systems with Applications: A Tribute to Anthony N. Michel (Hardcover, 2003) 
· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 확률과 통계 > 일반
· ISBN : 9780817632335
· 쪽수 : 432쪽

목차

I: Issues in Stability Analysis.- 1 Wave-Digital Concepts and Relativity Theory.- 1.1 Introduction.- 1.2 Nonlinear Passive Kirchhoff Circuits and the Wave-Digital Method.- 1.3 Nonlinear Relativistic Mass.- 1.4 Direct Derivation of the Alternative Results.- 1.5 Some Applications.- 1.6 Conclusions.- 2 Time, Systems, and Control: Qualitative Properties and Methods.- 2.1 Introduction.- 2.2 Physical Variables, Time, and Continuity.- 2.3 Complete Transfer Function Matrix.- 2.4 Consistent Lyapunov Methodology for Nonlinear Systems.- 2.5 Vector Lyapunov Function Concept and Complex Systems.- 2.6 Conclusions.- 2.7 Appendix.- 3 Asymptotic Stability of Multibody Attitude Systems.- 3.1 Introduction.- 3.2 Equations of Motion.- 3.3 Conservation of Energy and Lyapunov Stability.- 3.4 Asymptotic Stability Analysis.- 3.5 Examples.- 3.6 Conclusions.- 4 Robust Regulation of Polytopic Uncertain Linear Hybrid Systems with Networked Control System Applications.- 4.1 Introduction.- 4.2 Problem Formulation.- 4.3 Robust One-Step Predecessor Set.- 4.4 Safety, Reachability, and Attainability.- 4.5 Hybrid Regulation.- 4.6 Networked Control Systems (NCS).- 4.7 Conclusions.- 5 Stability Analysis of Swarms in a Noisy Environment.- 5.1 Introduction.- 5.2 Swarm and Environment Models.- 5.3 Stability Analysis of Swarm Cohesion Properties.- 5.4 Cohesion Characteristics and Swarm Dynamics.- 5.5 Conclusions.- 6 Stability of Discrete Time-Varying Linear Delay Systems and Applications to Network Control.- 6.1 Introduction.- 6.2 The Stability Test.- 6.3 The Algorithm.- 6.4 Applications in Communication Network Control.- 6.5 Conclusions.- 6.6 Appendix: Pseudocode for the Stability Testing Algorithm.- 7 Stability and L2 Gain Analysis of Switched Symmetric Systems.- 7.1 Introduction and Problem Formulation.- 7.2 Stability Analysis.- 7.3 L2 Gain Analysis.- 7.4 Conclusions.- II: Neural Networks and Signal Processing.- 8 Approximation of Input-Output Maps using Gaussian Radial Basis Functions.- 8.1 Introduction.- 8.2 Preliminaries.- 8.3 Radial Basis Function Approximations of Input-Output Maps.- 8.4 An Example.- 8.5 Related Results and Comments.- 9 Blind Source Recovery: A State-Space Formulation.- 9.1 Introduction.- 9.2 Optimization Framework for BSR.- 9.3 Extensions to the Natural Gradient.- 9.4 Simulation Results.- 9.5 Conclusions.- 9.6 Appendix: MIMO Canonical Form.- 10 Direct Neural Dynamic Programming.- 10.1 Introduction.- 10.2 ADP Models and Algorithms.- 10.3 Direct Neural Dynamic Programming (NDP).- 10.4 A Control Problem: Helicopter Command Tracking.- 10.5 Conclusions.- 11 Online Approximation-Based Aircraft State Estimation.- 11.1 Introduction.- 11.2 Aircraft Dynamics and Model Structure.- 11.3 Approximator Definition.- 11.4 On-Line Approximation-Based Estimation.- 11.5 Prediction Error-Based Learning.- 11.6 Lyapunov Analysis: Prediction Error.- 11.7 Implementation Issues.- 11.8 Conclusions.- 11.9 Appendix: Aircraft Notation.- 12 Evolutionary Multiobjective Optimization: Qualitative Analysis and Design Implementation.- 12.1 Introduction.- 12.2 Evolutionary Multiobjective Optimization Algorithms.- 12.3 Dynamic Multiobjective Evolutionary Algorithm (DMOEA).- 12.4 Comparative Study.- 12.5 Robustness Study.- 12.6 Conclusions.- 13 Set-Membership Adaptive Filtering.- 13.1 Introduction.- 13.2 Problem Formulation.- 13.3 Optimal Bounding Ellipsoid (OBE) Algorithms.- 13.4 Set-Membership NLMS (SM-NLMS) Algorithm.- 13.5 Conclusions.- III: Power Systems and Control Systems.- 14 Trajectory Sensitivity Theory in Nonlinear Dynamical Systems: Some Power System Applications.- 14.1 Introduction.- 14.2 Trajectory Sensitivity Analysis (TSA).- 14.3 Trajectory Sensitivity Theory for DAE Model.- 14.4 Stability-Constrained Optimal Power Flow Formulation.- 14.5 Transmission Protection System Vulnerability to Angle Stability.- 14.6 Conclusions.- 15 Emergency Control and Special Protection Systems in Large Electric Power Systems.- 15.1 Introduction.- 15.2 Controlled Islanding.- 15.3 Lo

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