Robust Adaptive Fuzzy Controller for a Class of Non-affine Nonlinear Systems
This paper present a direct adaptive fuzzy approach for a class of single-input-single-output (SISO) unknown non-affine nonlinear systems. A fuzzy logic system (FLS) is employed to approximate unknown plant nonlinearity. To update the adjustable parameters in FLS, a modified projection gradient algorithm is proposed which combines the advantage of projection gradient adaptive law and σ modification adaptive law. This algorithm is designed to ensure all signals involved are uniformly bounded and the track error is guaranteed to be uniformly asymptotically stable with the aid of an addition robust control term. Simulation results demonstrate the effectiveness and performance of the proposed approach.
adaptive control fuzzy logic system non-affine nonlinear systems modified projection gradient algorithm
Jie Wen Changsheng Jiang Li Zhou Chengshan Qian
College of Science;College of Automation Engineering Nanjing University of Aeronautics and Astronaut College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing,Jiangsu
国际会议
深圳
英文
999-1004
2008-12-10（万方平台首次上网日期，不代表论文的发表时间）