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Adaptive Control Systems - Gang Feng

Adaptive Control Systems

Hardcover

Published: 10th May 1999
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Adaptive control is no longer just an important theoretical field of study, but is also providing solutions to real-world problems. Adaptive techniques will transform the world of control. The leading world practitioners of adaptive control have contributed to this handbook which is the most important work yet in this field. Not only are techniques described in theory, but detailed control algorithms are given, making this a practical cookbook of adaptive control for both control professionals and practising engineers.
The book presents the most advanced techniques and algorithms of adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge, nonlinear adaptive control techniques and intelligent adaptive techniques. Each technique described has been developed to provide a practical solution to a real-life problem. This volume will therefore not only advance the field of adaptive control as an area of study, but will also show how the potential of this technology can be realised and offer significant benefits.
Practical cookbook of adaptive control
Contains important research

'This is a well-chosen selection of contributions to the richly developing subject area of adaptive and robust control......For the practising control engineer I can think of no better way to gain a rapid overview of those advances than to delve into this book.' Measurement & Control, April, 2001

List of contributorsp. ix
Prefacep. xv
Adaptive internal model controlp. 1
Introductionp. 1
Internal model control (IMC) schemes: known parametersp. 2
Adaptive internal model control schemesp. 7
Stability and robustness analysisp. 12
Simulation examplesp. 18
Concluding remarksp. 19
Referencesp. 21
An algorithm for robust adaptive control with less prior knowledgep. 23
Introductionp. 23
Problem formulationp. 25
Ordinary direct adaptive control with dead zonep. 27
New robust direct adaptive controlp. 28
Robust adaptive control with least prior knowledgep. 32
Simulation examplep. 36
Conclusionsp. 38
Referencesp. 38
Adaptive variable structure controlp. 41
Introductionp. 41
Problem formulationp. 43
The case of relative degree onep. 46
The case of arbitrary relative degreep. 49
Computer simulationsp. 56
Conclusionp. 59
Appendixp. 60
Referencesp. 61
Indirect adaptive periodic controlp. 63
Introductionp. 63
Problem formulationp. 65
Adaptive control schemep. 68
Adaptive control lawp. 69
Simulationsp. 74
Conclusionsp. 78
Referencesp. 78
Adaptive stabilization of uncertain discrete-time systems via switching control: the method of localizationp. 80
Introductionp. 80
Problem statementp. 86
Direct localization principlep. 89
Indirect localization principlep. 101
Simulation examplesp. 108
Conclusionsp. 112
Appendix Ap. 112
Appendix Bp. 115
Referencesp. 116
Adaptive nonlinear control: passivation and small gain techniquesp. 119
Introductionp. 119
Mathematical preliminariesp. 121
Adaptive passivationp. 127
Small gain-based adaptive controlp. 138
Conclusionsp. 155
Referencesp. 156
Active identification for control of discrete-time uncertain nonlinear systemsp. 159
Introductionp. 160
Problem formulationp. 161
Active identificationp. 166
Finite durationp. 178
Concluding remarksp. 178
Appendixp. 181
Referencesp. 182
Optimal adaptive tracking for nonlinear systemsp. 184
Introductionp. 184
Problem statement: adaptive trackingp. 186
Adaptive tracking and atclf'sp. 188
Adaptive backsteppingp. 193
Inverse optimal adaptive trackingp. 197
Inverse optimality via backsteppingp. 202
Design for strict-feedback systemsp. 205
Transient performancep. 209
Conclusionsp. 210
A technical lemmap. 210
Referencesp. 213
Stable adaptive systems in the presence of nonlinear parametrizationp. 215
Introductionp. 215
Statement of the problemp. 218
Preliminariesp. 220
Stable adaptive NP-systemsp. 228
Applicationsp. 236
Conclusionsp. 245
Proofs of lemmasp. 246
Referencesp. 258
Adaptive inverse for actuator compensationp. 260
Introductionp. 260
Plants with actuator nonlinearitiesp. 262
Parametrized inversesp. 263
State feedback designsp. 265
Output feedback inverse controlp. 269
Output feedback designsp. 271
Designs for multivariable systemsp. 275
Designs for nonlinear dynamicsp. 281
Concluding remarksp. 284
Referencesp. 285
Stable multi-input multi-output adaptive fuzzy/neural controlp. 287
Introductionp. 287
Direct adaptive controlp. 289
Indirect adaptive controlp. 296
Applicationsp. 299
Conclusionsp. 306
Referencesp. 306
Adaptive robust control scheme with an application to PM synchronous motorsp. 308
Introductionp. 309
Problem formulationp. 310
Adaptive robust control with [mu]-modificationp. 312
Application to PM synchronous motorsp. 317
Conclusionp. 320
The derivative of V[subscript 1]p. 321
The derivative of V[subscript 2]p. 322
The derivative of V[subscript 3]p. 324
Appendix Dp. 325
Definitions of [alpha][subscript 2], [alpha][subscript 3], [open phi][subscript 2], and [open phi][subscript 3]p. 326
Indexp. 000
Table of Contents provided by Syndetics. All Rights Reserved.

ISBN: 9780750639965
ISBN-10: 0750639962
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 352
Published: 10th May 1999
Publisher: Elsevier Science & Technology
Country of Publication: GB
Dimensions (cm): 23.4 x 15.6  x 2.54
Weight (kg): 0.63