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

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 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 keep an eye on: the strategy of localization

, Pages 80-118
6 - Adaptive nonlinear keep an eye on: 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 - reliable adaptive platforms within the presence of nonlinear parametrization

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

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

, Pages 287-307
12 - Adaptive powerful regulate scheme with an program to PM synchronous motors

, Pages 308-327

, Pages 329-335

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Sample text

The output tracking error can be driven to zero for relative degree-one plants and to a small residual set (whose size depends on the level of magnitude of some design parameter) for plants with any higher relative degree. Both results are achieved even when the unmodelled dynamic and output disturbance are present. (4) If the aforementioned bounds on the system parameters are available by some means before controller design, then with a suitable choice of initial control parameters, the output tracking error can even be driven to zero in finite time for relative degree-one plants and to a small residual set exponentially for plants with any higher relative degree.

AC-30, 881-889. [2] Egardt, B. (1979). Stability of Adaptive Controllers, Lecture Notes in Control and Information Sciences, New York, Springer Verlag. [3] Ortega, R. and Tang, Y. (1989). 'Robustness of Adaptive Controllers - A Survey', Automatica, Vol. 25, 651-677. [4] Ydstie, B. E. (1989). 'Stability of Discrete MRAC-revisited', Systems and Control Letters, Vol. 13, 429-438. Adaptive Control Systems 39 [5] Naik, S. , Kumar, P. , Ydstie, B. E. (1992). 'Robust Continuous-time Adaptive Control by Parameter Projection', IEEE Trans.

2). Then with the parameter estimation properties (i)-(iv), the global stability and convergence results of the adaptive control systems can be established as in [26], [11], which are summarized in the following theorem. 11) is globally stable in the sense that all the signals in the loop remain bounded. However, as discussed in the first section, the requirement for knowledge of the parameters of the upper bounding function on the unmodelled dynamics and bounded disturbances is very restrictive.

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