عنوان

Stable adaptive neural network control

عنوان اصلي

Stable adaptive neural network control

محل نشرو پخش و غیره

Boston

نام ناشر، پخش کننده و غيره

Kluwer Academic

تاریخ نشرو بخش و غیره

c2002

نام خاص و کميت اثر

xvi, 282 p. : ill

ساير اطلاعات عنواني

The Kluwer international series on Asian studies in computer and information science

ساير اطلاعات عنواني

13

متن يادداشت

Includes bibliographical references )p.]265[-279( and index

متن يادداشت

by S.S. Ge...]et al.[

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1

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2

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3

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4

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5

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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 01 -- 2 Mathematical Preliminaries 11 -- 2.1 Introduction 11 -- 2.2 Mathematical Preliminaries11 -- 2.2.1 Norms for Vectors and Signals21 -- 2.2.2 Properties of Matrix51 -- 2.3 Concepts of Stability61 -- 2.4 Lyapunov Stability Theorem71 -- 2.5 Useful Theorems and Formula91 -- 2.5.1 Sliding Surface91 -- 2.5.2 Mean Value Theorem02 -- 2.5.3 Integral Formula02 -- 2.5.4 Implicit Function Theorem32 -- 2.5.5 Input-Output Stability52 -- 2.6 Conclusion62 -- 3 Neural Networks and Function Approximation 72 -- 3.1 Introduction.72 -- 3.2 Function Approximation72 -- 3.3 Linearly Parametrized Neural Networks92 -- 3.4 Non-linearly Parametrized Networks53 -- 3.5 Neural Networks for Control Applications44 -- 3.6 Conclusion64 -- 4 SISO Nonlinear Systems 74 -- 4.1 Introduction74 -- 4.2 NN Control with Regional Stability94 -- 4.2.1 Desired Feedback Control94 -- 4.2.2 HONN Controller Design Based on )4.7(15 -- 4.2.3 MNN Control Based on )4.01(95 -- 4.3 VSC - Semi-Global Stability07 -- 4.3.1 VSC-based Adaptive NN Control Design37 -- 4.3.2 Elimination for Controller Chattering77 -- 4.3.3 Simulation Study97 -- 4.4 Conclusion:97 -- 5 ILF for Adaptive Control 18 -- 5.1 Introduction 18 -- 5.2 Matching SISO Nonlinear Systems28 -- 5.2.1 Integral Lyapunov Function38 -- 5.2.2 Choice of Weighting Function a)x(38 -- 5.2.3 Adaptive NN Control Based on DFCs29 -- 5.3 Backstepping Adaptive NN Design501 -- 5.3.1 Adaptive Design for a First-order System801 -- 5.3.2 Design for nth-order Systems 211 -- 5.3.3 Controller Design with Reduced Knowledge 121 -- 5.3.4 Simulation Studies321 -- 5.4 NN Control for MIMO Nonlinear Systems721 -- 5.4.1 System Description821 -- 5.4.2 Lyapunov Function Design and Control Structure. 031 -- 5.4.3 Adaptive MIMO Control Using MNNs231 -- 5.5 Conclusion831 -- 6 Non-affine Nonlinear Systems 931 -- 6.1 Introduction931 -- 6.2 System Description and Properties041 -- 6.2.1 Implicit Desired Feedback Control 241 -- 6.2.2 High-gain Observer641 -- 6.3 Controller Design Based on LPNN741 -- 6.3.1 State Feedback Control 941 -- 6.3.2 Output Feedback Control 351 -- 6.3.3 Simulation Study951 -- 6.4 Controller Design Based on MNN 061 -- 6.4.1 State Feedback Control 361 -- 6.4.2 Output Feedback Control 861 -- 6.4.3 Application to CSTR671 -- 6.5 Conclusion281 -- 7 lTiangular Nonlinear Systems 381 -- 7.1 Introduction381 -- 7.2 Special Systems in Strict-Feedback Form581 -- 7.2.1 Direct Adaptive NN Control881 -- 7.2.2 Simulation studies891 -- 7.3 Partially Known Nonlinear Systems102 -- 7.3.1 Adaptive Neural Control Design302 -- 7.3.2 Numerical Simulation512 -- 7.4 Pure-feedback Nonlinear Systems712 -- 7.4.1 Direct Adaptive NN Control for 1E 022 -- 7.4.2 Direct Adaptive NN Control for E5322 -- 7.4.3 Simulation studies042 -- 7.5 MIMO Nonlinear Systems242 -- 7.6 Conclusion062 -- 8 Conclusion 162 -- 8.1 Conclusion 162 -- 8.2 Design Flexibility262 -- 8.3 Further Research362 -- References 562 -- Index 182

عنصر شناسه ای

، Adaptive control systems

عنصر شناسه ای

، Neural networks )Computer science(

شماره رده

کد نقش

TI

عنصر شناسه اي

AU Ge, Shuzhi S.