Get Adaptive Control Systems PDF

By Gang Feng and Rogelio Lozano (Auth.)

Content material:
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 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 an eye on: the strategy of localization

, Pages 80-118
6 - Adaptive nonlinear regulate: 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 - good adaptive platforms 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

, Pages 329-335

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Bmz -m Specify a reference model as E ( z - l ) y , (t) = z-dR(z-l)r(t) where E(z -l) is a strictly stable monie polynomial written as E(z -1) = I + elz-l + ... 2) 26 An algorithm for robust adaptive control with less prior knowledge Then, there exist unique polynomials F(z -l) and G(z -l) written as F(z -t) = 1 4- f l z -l 4-... 4-fd_l z-d+l G(z -l) = go + glz -l + . . 4) where y(t 4- d) = E ( z - l ) y ( t 4- d) rl(t -t- d) = F(z-1)A(z-1)v(t 4- d) ok(t) r = [u(t),u(t- 1),... , u ( t - m - d 4- 1 ) , y ( t ) , y ( t - 1),...

In this chapter, we present a new algorithm to solve the variable structure model reference adaptive control for a single input single output system with unmodelled dynamics and output disturbances. The design concept will be first introduced for relative degree-one plants and then be 42 Adaptive variable structure control extended to the general ease. Compared with the previous works, which used adaptive variable structure design or traditional robust adaptive approaches for the MRAC problem, this algorithm has the following special features: (1) This control algorithm successfully applies the variable structure adaptive controller for the general ease under robustness consideration.

TWd~ + O;M_l(s)[do] ] (t) z,(s) fo~ s9me ~ . 32) for some/3~ > O. 1 show that the similar techniques for the controller design of a relative degree-one system can now be used for auxiliary error eal. , eop, especially the real output error eo as concerned? In Theorem 4. l, we summarize the main results of the systematically designed adaptive variable structure controller for plants with relative degree greater than one. 1) with relative degree p > 1 satisfying (A1)-(A5). 28), then there exists r * > 0 and # * > 0 such that for all r E (0,r*) and # E (0,#*), the following facts hold: (i) (ii) (iii) (iv) all signals inside the closed-loop system remain uniformly bounded; the auxiliary error e~l converges to zero asymptotically; the auxiliary errors eai, i = 2 , .

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