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By Gang Feng and Rogelio Lozano (Auth.)

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 strong adaptive keep watch over 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 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 - lively id 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 - sturdy 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 powerful keep watch over scheme with an program to PM synchronous motors

, Pages 308-327
Index

, Pages 329-335

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Extra resources for Adaptive Control Systems

Sample text

35) --" leail < - a i - l leail - rl dt - when leo~l # o. This implies that eai will converge to zero after some finite time T>0. Part H Prove the boundedness of all signals inside the closed loop system. Define e-ai = M(s)Li-l (s)[eai], i = 2, . . , p and Ea = eal + ea2 + " " + eat, which is uniformly bounded due to the boundedness of eai. 21), we can derive that [ ' ] Ea = eo + M(s)LI (s) ul - L - ~ [up] [, ,] [, , + M(s)L, (s) el (s)[u2]- F(rs) [u'l + M(s)Lz(s) d2(s)[u3l - ~ ] [u2l I1 , ] (1 F ~ls ~)M(s)L~(~) [Ul + :i1(S) [u21 + .

1976). 'Modem Wiener-Hopf Design of Optimal Controllers - Part II: The Multivariable Case', IEEE Trans. Automat. , Vol. AC-21, 319-338. [7] Zames, G. and Francis, B. A. (1983). 'Feedback, Minimax Sensitivity, and Optimal Robustness', IEEE Trans. Automat. , Vol. AC-28, 585-601. [8] Desoer, C. A. and Vidyasagar, M. (1975). Feedback Systems: Input-Output Properties, Academic Press, New York. [9] Ioannou, P. A. and Datta, A. (1991). 'Robust Adaptive Control: A Unified Approach', Prec. of the IEEE, Vol.

37), we readily conclude that all signals inside the closed loop system remain uniformly bounded. Part IIl: Investigate the tracking performance of eal and e0. ap also approaches zero asymptotically. 37) and E~ approaching zero, it is clear that e0 will converge to a small residual set whose size depends on the design parameter r. D. 2, we can guarantee the exponential convergent behaviour and finite-time tracking performance of all the auxiliary errors ea~. a2+ " " + ~ap, it can be concluded that Ea converges to zero exponentially and e0 converges to a small residual set whose size depends on the design parameter r.

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