DocumentCode :
2097845
Title :
An adaptive control design for a class of dynamical systems using input-output representation
Author :
Khorasani, K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
fYear :
1993
fDate :
15-17 Dec 1993
Firstpage :
594
Abstract :
A systematic procedure for designing a robust adaptive control strategy for a class of dynamical systems containing n dominant slow modes and m parasitic fast modes is developed. The result is a corrected adaptive control strategy more robust to parasitic dynamics than conventional methods in the literature that are based on the so-called zeroth-order or uncorrected adaptive control laws. The distinct feature of the proposed controller is its dynamic nature. The key requirement for implementing the dynamic controller is the asymptotic stability of the zero dynamics of the first order corrected reduced model. The minimum phase requirement is not imposed on the full order system but rather on the corrected reduced model. The results are verified by numerical simulations
Keywords :
adaptive control; control system synthesis; large-scale systems; stability; adaptive control design; asymptotic stability; dynamical systems; first order corrected reduced model; input output representation; minimum phase system; parasitic dynamics; parasitic fast modes; slow modes; Adaptive control; Asymptotic stability; Differential equations; Frequency; Linear systems; Numerical simulation; Programmable control; Reduced order systems; Robust control; Robust stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
Type :
conf
DOI :
10.1109/CDC.1993.325078
Filename :
325078
Link To Document :
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