Robust sliding mode control for a class of uncertain discrete-time nonlinear systems: adaptive fuzzy approach
(0) This paper presents an adaptive interval type-2 fuzzy sliding mode controller for a class of unknown nonlinear discrete-time systems with training data corrupted by noise or rule uncertainties involving external disturbances and to prevent big chattering of the control effort. The Laypunov stability theorem has been used to testify the asymptotic stability of the whole system and the free parameters of the adaptive fuzzy controller can be tuned on-line by an output feedback control law and adaptive laws. The overall adaptive scheme guarantees the global stability of the resulting closed-loop system in the sense that all signals involved are uniformly bounded. The simulation example is given to confirm validity and tracking performance of the advocated design methodology.
Sliding mode control type-2 FNN discrete time system adaptive control Lyapunov theorem
Tsung-Chih Lin Shuo-Wen Chang
Department of Electronic Engineering Feng-Chia University Taichung, Taiwan, R.O.C
国际会议
重庆
英文
80-85
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）