Title :
A discrete adaptive controller for a class of T-S fuzzy models
Author_Institution :
Fac. of Manage. & Inf. Syst, Prefectural Univ. of Hiroshima, Hiroshima, Japan
Abstract :
In order to deal with the modelling error between the system to be controlled and its T-S fuzzy model, this paper proposes a discrete-time adaptive controller. The controller consists of two parts: one is obtained by solving certain LMIs (fixed part) and the other is acquired using a fuzzy approximator in which related parameters are tuned by adaptive law (variable part). The proposed controller can guarantee the closed-loop control system uniformly asymptotically stable. Also, computer simulations are provided to illustrate the effectiveness of the proposed controller.
Keywords :
adaptive control; asymptotic stability; closed loop systems; discrete systems; fuzzy control; linear matrix inequalities; LMI; T-S fuzzy models; adaptive law; asymptotic stability; closed-loop control system; computer simulations; discrete adaptive controller; fuzzy approximator; modelling error; Adaptation models; Adaptive systems; Computational modeling; Control systems; Fuzzy systems; Mathematical model; Vectors;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZ-IEEE.2012.6251269
