February 10, 2018

Download e-book for iPad: Adaptive Control Systems by Gang Feng and Rogelio Lozano (Auth.)

By Gang Feng and Rogelio Lozano (Auth.)

ISBN-10: 0750639962

ISBN-13: 9780750639965

Content material:
List of contributors

, Pages ix-xiii
Preface

, Pages xv-xix
1 - Adaptive inner version control

, Pages 1-22
2 - An set of rules for powerful adaptive keep an eye on with much less previous knowledge

, Pages 23-40
3 - Adaptive variable constitution control

, Pages 41-62
4 - oblique adaptive periodic control

, Pages 63-79
5 - Adaptive stabilization of doubtful discrete-time structures through switching keep watch over: the tactic of localization

, Pages 80-118
6 - Adaptive nonlinear keep watch over: Passivation and small achieve techniques

, Pages 119-158
7 - energetic identity for keep an eye on of discrete-time doubtful nonlinear systems

, Pages 159-183
8 - optimum adaptive monitoring for nonlinear systems

, Pages 184-214
9 - strong adaptive platforms within the presence of nonlinear parametrization

, Pages 215-259
10 - Adaptive inverse for actuator compensation

, Pages 260-286
11 - good multi-input multi-output adaptive fuzzy/neural control

, Pages 287-307
12 - Adaptive strong regulate scheme with an software to PM synchronous motors

, Pages 308-327
Index

, Pages 329-335

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Extra resources for Adaptive Control Systems

Sample text

G. [11], [20-22]) for pole placement design; or to hypothesize the existence of a known lower bound on the leading coefficient of the parameter vector and then to use an ad hoc projection procedure to secure the estimated leading coefficient bounded away from zero and thus achieve the convergence and stability of the direct adaptive control system. However, such methods suffer the problem of requirement for significant a priori knowledge about the plant. Recently, another approach has been developed which also modifies the parameter estimation algorithm.

8 sin ( 0 . 5 OHIIIIIHlitf"-. . . . . . . . . . . . . . . . . 5 -1 -1 . . . . . . . . . . . . . . . . . . . . . 5 0 100 200 300 time t (second) Hoo I M C s i m u l a t i o n equivalence approach of adaptive control was used to combine a robust adaptive law with robust internal model controller structures to obtain adaptive internal model control schemes with provable guarantees of robustness. Some specific adaptive IMC schemes that were considered here include those of the partial pole placement, model reference, /-/2 optimal and Hoo optimal control types.

5 -1 -1 . . . . . . . . . . . . . . . . . . . . . 5 0 100 200 300 time t (second) Hoo I M C s i m u l a t i o n equivalence approach of adaptive control was used to combine a robust adaptive law with robust internal model controller structures to obtain adaptive internal model control schemes with provable guarantees of robustness. Some specific adaptive IMC schemes that were considered here include those of the partial pole placement, model reference, /-/2 optimal and Hoo optimal control types.

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Adaptive Control Systems by Gang Feng and Rogelio Lozano (Auth.)


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