عنوان

Stable adaptive neural network control

Title Proper

Stable adaptive neural network control

Place of Publication, Distribution, etc.

Boston

Name of Publisher, Distributor, etc.

Kluwer Academic

Date of Publication, Distribution, etc.

c2002

Specific Material Designation and Extent of Item

xvi, 282 p. : ill

Other Title Information

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

Other Title Information

13

Text of Note

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

Text of Note

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

Text of Note

1

Text of Note

2

Text of Note

3

Text of Note

4

Text of Note

5

Text of Note

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

Entry Element

، Adaptive control systems

Entry Element

، Neural networks )Computer science(

Class number

Relator Code

TI

AU Ge, Shuzhi S.