A New Indirect Adaptive Fuzzy Control for a Class of SISO Nonlinear Discrete-Time Systems
A new indirect adaptive fuzzy control scheme is developed for a class of nonlinear discrete-time systems. To avoid the possible controller singularity problem, the controller, which is designed by fuzzy logic systems, is derived from quadratic performance index, and the time-varying gain adaptive laws are used to adjust the unknown parameters. The proposed design scheme guarantees that all the signals in the resulting closed-loop system are bounded, and the generalized tracking error converges to a small neighborhood of the origin. Simulation results indicate the effectiveness of this scheme.
Wuxi Shi
School of Electrical Engineering and Automation, Tianjin Polytechnic University, tianjin, 300160
国际会议
上海
英文
34-38
2011-07-26(万方平台首次上网日期,不代表论文的发表时间)