DocumentCode
423920
Title
Stable model reference adaptive fuzzy control for MIMO nonlinear systems
Author
Zhang, Hui-Yan
Author_Institution
Dept. of Comput. Sci., Huaiyin Teachers Coll., China
Volume
1
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
538
Abstract
The problem of global robust stabilization is investigated for a class of MIMO nonlinear systems with unknown function control gain belonging to a given compact set. The design is based on the model reference adaptive fuzzy control (MRAFC) and Lyapunov´s second method. We showed that in the case of modeling error, the state error converges to zero asymptotically. Simulation results demonstrate the effectiveness of the approach.
Keywords
Lyapunov methods; MIMO systems; fuzzy control; fuzzy logic; model reference adaptive control systems; nonlinear control systems; robust control; Lyapunov second method; MIMO nonlinear system; global robust stabilization; model reference adaptive fuzzy control; multilinear fuzzy logic system; Adaptive control; Control systems; Force control; Fuzzy control; Fuzzy logic; MIMO; Multi-layer neural network; Nonlinear control systems; Nonlinear systems; Programmable control;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1380750
Filename
1380750
Link To Document