Title :
Stable model reference adaptive fuzzy control for MIMO nonlinear systems
Author_Institution :
Dept. of Comput. Sci., Huaiyin Teachers Coll., China
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;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380750
