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2001050337 contributor B8956002.
2001050337 created "c2002.".
2001050337 date "2002".
2001050337 date "c2002.".
2001050337 dateCopyrighted "c2002.".
2001050337 description "Includes bibliographical references (p. [265]-279) and index.".
2001050337 description "Machine generated contents note: 1 Introduction 1 -- 1.1 Introduction1 -- 1.2 Adaptive Control2 -- 1.3 Neural Network Control 3 3 -- 1.4 Instability Mechanisms in Adaptive Neural Control Systems 5 -- 1.5 Outline of the Book9 -- 1.6 Conclusion 10 -- 2 Mathematical Preliminaries 11 -- 2.1 Introduction 11 -- 2.2 Mathematical Preliminaries11 -- 2.2.1 Norms for Vectors and Signals12 -- 2.2.2 Properties of Matrix15 -- 2.3 Concepts of Stability16 -- 2.4 Lyapunov Stability Theorem17 -- 2.5 Useful Theorems and Formula19 -- 2.5.1 Sliding Surface19 -- 2.5.2 Mean Value Theorem20 -- 2.5.3 Integral Formula20 -- 2.5.4 Implicit Function Theorem23 -- 2.5.5 Input-Output Stability25 -- 2.6 Conclusion26 -- 3 Neural Networks and Function Approximation 27 -- 3.1 Introduction.27 -- 3.2 Function Approximation27 -- 3.3 Linearly Parametrized Neural Networks29 -- 3.4 Non-linearly Parametrized Networks35 -- 3.5 Neural Networks for Control Applications44 -- 3.6 Conclusion46 -- 4 SISO Nonlinear Systems 47 -- 4.1 Introduction47 -- 4.2 NN Control with Regional Stability49 -- 4.2.1 Desired Feedback Control49 -- 4.2.2 HONN Controller Design Based on (4.7)51 -- 4.2.3 MNN Control Based on (4.10)59 -- 4.3 VSC - Semi-Global Stability70 -- 4.3.1 VSC-based Adaptive NN Control Design73 -- 4.3.2 Elimination for Controller Chattering77 -- 4.3.3 Simulation Study79 -- 4.4 Conclusion:79 -- 5 ILF for Adaptive Control 81 -- 5.1 Introduction 81 -- 5.2 Matching SISO Nonlinear Systems82 -- 5.2.1 Integral Lyapunov Function83 -- 5.2.2 Choice of Weighting Function a(x)83 -- 5.2.3 Adaptive NN Control Based on DFCs92 -- 5.3 Backstepping Adaptive NN Design105 -- 5.3.1 Adaptive Design for a First-order System108 -- 5.3.2 Design for nth-order Systems 112 -- 5.3.3 Controller Design with Reduced Knowledge 121 -- 5.3.4 Simulation Studies123 -- 5.4 NN Control for MIMO Nonlinear Systems127 -- 5.4.1 System Description128 -- 5.4.2 Lyapunov Function Design and Control Structure. 130 -- 5.4.3 Adaptive MIMO Control Using MNNs132 -- 5.5 Conclusion138 -- 6 Non-affine Nonlinear Systems 139 -- 6.1 Introduction139 -- 6.2 System Description and Properties140 -- 6.2.1 Implicit Desired Feedback Control 142 -- 6.2.2 High-gain Observer146 -- 6.3 Controller Design Based on LPNN147 -- 6.3.1 State Feedback Control 149 -- 6.3.2 Output Feedback Control 153 -- 6.3.3 Simulation Study159 -- 6.4 Controller Design Based on MNN 160 -- 6.4.1 State Feedback Control 163 -- 6.4.2 Output Feedback Control 168 -- 6.4.3 Application to CSTR176 -- 6.5 Conclusion182 -- 7 lTiangular Nonlinear Systems 183 -- 7.1 Introduction183 -- 7.2 Special Systems in Strict-Feedback Form185 -- 7.2.1 Direct Adaptive NN Control188 -- 7.2.2 Simulation studies198 -- 7.3 Partially Known Nonlinear Systems201 -- 7.3.1 Adaptive Neural Control Design203 -- 7.3.2 Numerical Simulation215 -- 7.4 Pure-feedback Nonlinear Systems217 -- 7.4.1 Direct Adaptive NN Control for 1E 220 -- 7.4.2 Direct Adaptive NN Control for E2235 -- 7.4.3 Simulation studies240 -- 7.5 MIMO Nonlinear Systems242 -- 7.6 Conclusion260 -- 8 Conclusion 261 -- 8.1 Conclusion 261 -- 8.2 Design Flexibility262 -- 8.3 Further Research263 -- References 265 -- Index 281.".
2001050337 extent "xvi, 282 p. :".
2001050337 identifier "0792375971 (alk. paper)".
2001050337 identifier 2001050337-d.html.
2001050337 identifier 2001050337.html.
2001050337 isPartOf "The Kluwer international series on Asian studies in computer and information science ; 13".
2001050337 issued "2002".
2001050337 issued "c2002.".
2001050337 language "eng".
2001050337 publisher "Boston : Kluwer Academic,".
2001050337 subject "629.8/36 21".
2001050337 subject "Adaptive control systems.".
2001050337 subject "Neural networks (Computer science)".
2001050337 subject "TJ217 .S736 2002".
2001050337 tableOfContents "Machine generated contents note: 1 Introduction 1 -- 1.1 Introduction1 -- 1.2 Adaptive Control2 -- 1.3 Neural Network Control 3 3 -- 1.4 Instability Mechanisms in Adaptive Neural Control Systems 5 -- 1.5 Outline of the Book9 -- 1.6 Conclusion 10 -- 2 Mathematical Preliminaries 11 -- 2.1 Introduction 11 -- 2.2 Mathematical Preliminaries11 -- 2.2.1 Norms for Vectors and Signals12 -- 2.2.2 Properties of Matrix15 -- 2.3 Concepts of Stability16 -- 2.4 Lyapunov Stability Theorem17 -- 2.5 Useful Theorems and Formula19 -- 2.5.1 Sliding Surface19 -- 2.5.2 Mean Value Theorem20 -- 2.5.3 Integral Formula20 -- 2.5.4 Implicit Function Theorem23 -- 2.5.5 Input-Output Stability25 -- 2.6 Conclusion26 -- 3 Neural Networks and Function Approximation 27 -- 3.1 Introduction.27 -- 3.2 Function Approximation27 -- 3.3 Linearly Parametrized Neural Networks29 -- 3.4 Non-linearly Parametrized Networks35 -- 3.5 Neural Networks for Control Applications44 -- 3.6 Conclusion46 -- 4 SISO Nonlinear Systems 47 -- 4.1 Introduction47 -- 4.2 NN Control with Regional Stability49 -- 4.2.1 Desired Feedback Control49 -- 4.2.2 HONN Controller Design Based on (4.7)51 -- 4.2.3 MNN Control Based on (4.10)59 -- 4.3 VSC - Semi-Global Stability70 -- 4.3.1 VSC-based Adaptive NN Control Design73 -- 4.3.2 Elimination for Controller Chattering77 -- 4.3.3 Simulation Study79 -- 4.4 Conclusion:79 -- 5 ILF for Adaptive Control 81 -- 5.1 Introduction 81 -- 5.2 Matching SISO Nonlinear Systems82 -- 5.2.1 Integral Lyapunov Function83 -- 5.2.2 Choice of Weighting Function a(x)83 -- 5.2.3 Adaptive NN Control Based on DFCs92 -- 5.3 Backstepping Adaptive NN Design105 -- 5.3.1 Adaptive Design for a First-order System108 -- 5.3.2 Design for nth-order Systems 112 -- 5.3.3 Controller Design with Reduced Knowledge 121 -- 5.3.4 Simulation Studies123 -- 5.4 NN Control for MIMO Nonlinear Systems127 -- 5.4.1 System Description128 -- 5.4.2 Lyapunov Function Design and Control Structure. 130 -- 5.4.3 Adaptive MIMO Control Using MNNs132 -- 5.5 Conclusion138 -- 6 Non-affine Nonlinear Systems 139 -- 6.1 Introduction139 -- 6.2 System Description and Properties140 -- 6.2.1 Implicit Desired Feedback Control 142 -- 6.2.2 High-gain Observer146 -- 6.3 Controller Design Based on LPNN147 -- 6.3.1 State Feedback Control 149 -- 6.3.2 Output Feedback Control 153 -- 6.3.3 Simulation Study159 -- 6.4 Controller Design Based on MNN 160 -- 6.4.1 State Feedback Control 163 -- 6.4.2 Output Feedback Control 168 -- 6.4.3 Application to CSTR176 -- 6.5 Conclusion182 -- 7 lTiangular Nonlinear Systems 183 -- 7.1 Introduction183 -- 7.2 Special Systems in Strict-Feedback Form185 -- 7.2.1 Direct Adaptive NN Control188 -- 7.2.2 Simulation studies198 -- 7.3 Partially Known Nonlinear Systems201 -- 7.3.1 Adaptive Neural Control Design203 -- 7.3.2 Numerical Simulation215 -- 7.4 Pure-feedback Nonlinear Systems217 -- 7.4.1 Direct Adaptive NN Control for 1E 220 -- 7.4.2 Direct Adaptive NN Control for E2235 -- 7.4.3 Simulation studies240 -- 7.5 MIMO Nonlinear Systems242 -- 7.6 Conclusion260 -- 8 Conclusion 261 -- 8.1 Conclusion 261 -- 8.2 Design Flexibility262 -- 8.3 Further Research263 -- References 265 -- Index 281.".
2001050337 title "Stable adaptive neural network control / by S.S. Ge ... [et al.].".
2001050337 type "text".