In this paper, an adaptive decentralized fuzzy control scheme is presented for a class of multiple-input and multiple-output (MIMO) nonlinear interconnected systems with unmodeled dynamics and dead zones. In the controller design procedure, fuzzy logic systems are used to approximate the unknown nonlinear functions and then an adaptive fuzzy controller is developed by combining adaptive technique with backstepping. The proposed control scheme can guarantee that all signals in the closed-loop system are semi-globally uniformly ultimately bounded in mean square. Simulation results are provided to illustrate the effectiveness of the proposed scheme.
Adaptive fuzzy decentralized control for a class of interconnected nonlinear system with unmodeled dynamics and dead zones
2016-11-19
Wang , H , Liu , W , Liu , P X & Lam , H K 2016 , ' Adaptive fuzzy decentralized control for a class of interconnected nonlinear system with unmodeled dynamics and dead zones ' NEUROCOMPUTING , vol 214 , pp. 972-980 . DOI:10.1016/j.neucom.2016.07.019
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
British Library Online Contents | 2011
|Robust output feedback control for a class of nonlinear systems with input unmodeled dynamics
British Library Online Contents | 2008
|