Adaptive robust control by set membership estimation and switching: stability and performance analysis

Author

Kiriakidis, Kiriakos ; Tzes, Anthony

Author_Institution

Dept. of Mech. Eng., Polytechnic Univ., Brooklyn, NY, USA

Volume

4

fYear

1996

fDate

11-13 Dec 1996

Firstpage

3743

Abstract

Adaptive control of time-invariant plants, in the presence of unmodeled dynamics and bounded disturbances, via set membership identification is proposed. The set estimator maps the uniformly bounded normalized equation error on parametric error characterizing the modeled part of the plant. Based on the set estimator and implemented by fuzzy logic, a switching control policy improves the system performance. At the same time, through stabilization against the parameter uncertainty, the policy renders the closed-loop modeled dynamics robust with respect to the equation error mechanisms

Keywords

adaptive control; closed loop systems; discrete time systems; dynamics; fuzzy logic; fuzzy set theory; parameter estimation; robust control; adaptive control; closed-loop modeled dynamics; fuzzy logic; identification; parametric error; robust control; set membership estimation; stability; switching control; time-invariant systems; Adaptive control; Control design; Equations; Error correction; Parameter estimation; Performance analysis; Programmable control; Robust control; Robust stability; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on

Conference_Location

Kobe

ISSN

0191-2216

Print_ISBN

0-7803-3590-2

Type

conf

DOI

10.1109/CDC.1996.577230

Filename

577230