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 past 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 platforms through switching regulate: the tactic of localization

, Pages 80-118
6 - Adaptive nonlinear keep an eye on: Passivation and small achieve techniques

, Pages 119-158
7 - energetic identity for regulate of discrete-time doubtful nonlinear systems

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

, Pages 184-214
9 - solid adaptive structures within the presence of nonlinear parametrization

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

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

, Pages 287-307
12 - Adaptive powerful 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

S. (1992). 'Robustness of Model Reference Adaptive Controllers: An Input-Output Approach', IEEE Trans. on Automat. , Vol. AC-37, 556-565. [14] Ioannou, P. A. and Tsakalis, K. S. (1986). 'A Robust Direct Adaptive Controller,' IEEE Trans. on Automat. , Vol. AC-31, 1033-1043, Nov. 2 An algorithm for robust adaptive control with less prior knowledge G. Feng, Y. A. J iang and R. Zmood Abstract A new robust discrete-time singularity free direct adaptive control scheme is proposed with respect to a class of modelling uncertainties in this chapter.

A5) The output disturbance is differentiable and the upper bounds on Ido(t)l, l-~do(t ) exist. 1 9 Minimum-phase assumption (A3) on the nominal plant P(s) is to guarantee the internal stability since the model reference control involves the cancellation of the plant zeros. 1) possesses the minimum-phase property. 9 The latter part of assumption (A4) is simply to emphasize the fact that Pu(s) are uncorrelated with # in any case [16]. 1. 2 MRAC based error model Since the plant parameters are assumed to be unknown, a basic strategy from the traditional MRAC [17], [19] is now used to construct the error model between yv(t) and ym(t).

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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