(1) Intelligent Autonomous Systems Laboratory, Faculty of Computing, Engineering and Mathematical Sciences University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, UK
Abstract:
In this study an indirect adaptive sliding mode control (SMC) based on a fuzzy logic scheme is proposed to strengthen the tracking control performance of a general class of multi-input multi-output (MIMO) nonlinear uncertain systems. Combining reaching law approach and fuzzy universal approximation theorem, the proposed design procedure combines the advantages of fuzzy logic control, adaptive control and sliding mode control. The stability of the control systems is proved in the sense of the Lyapunov second stability theorem. Two simulation studies are presented to demonstrate the effectiveness of our new hybrid control algorithm.