By Gang Feng and Rogelio Lozano (Auth.)
List of contributors
, Pages ix-xiii
, Pages xv-xix
1 - Adaptive inner version control
, Pages 1-22
2 - An set of rules for powerful 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 structures through switching regulate: the tactic of localization
, Pages 80-118
6 - Adaptive nonlinear keep watch over: Passivation and small achieve techniques
, Pages 119-158
7 - lively identity for regulate of discrete-time doubtful nonlinear systems
, Pages 159-183
8 - optimum adaptive monitoring for nonlinear systems
, Pages 184-214
9 - good adaptive structures 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 keep watch over scheme with an software to PM synchronous motors
, Pages 308-327
, Pages 329-335
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Extra resources for Adaptive Control Systems
Then, its difference becomes V(t + 1) - V(t) = a(t) l)~bit - d) 1+ r X [ . 1 + 4)(t- a ) r p ( t - 1)~b(t- d) ] a(t))~(t- d ) r P ( t - 1)~b(t- d) r/(t)2 - e(t)2 . . . . . 18) f(t) 2 1 + 4~(t- d)re(t- 1)r d) where the fact that a ( t ) e ( t ) 2 = f ( t ) e ( t ) > f ( t ) 2 has been used. 1 are thus proved. 1, the global stability and convergence results of the new adaptive control system can be established as in ,  as long as the estimated ~l is small enough, which are summarized in the following theorem.
2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1. . 2 0 9 . . . . 20 " I I . . . . 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.
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. Two key features of this scheme are that a relative dead zone is used but no knowledge of the parameters of the upper bounding function on the class of modelling uncertainties is required, and no knowledge of the lower bound on the leading coefficient of the parameter vector is required to ensure the control law singularity free.