文献类型：会议论文

英文题名：Stable Adaptive NN Control For Nonlinear Systems Preceded by Unknown Backlash-like Hysteresis Via Modified VSC Approach

作者：Cao, Huan[1];Du, Hongbin[1];Wang, Huazhong[1]

机构：[1]E China Univ Sci & Technol, Dept Automat, Shanghai 200237, Peoples R China

会议论文集：8th World Congress on Intelligent Control and Automation (WCICA)

会议日期：JUL 06-09, 2010

会议地点：Jinan, PEOPLES R CHINA

语种：英文

外文关键词：Neural networks; adaptive control; variable structure control; hysteresis; nonlinear systems

摘要：In this paper, a novel adaptive neural network control scheme is put forward for a class of SISO nonlinear systems with backlash-like hysteresis, where the hysteresis is modeled by a differential equation in the presence of bounded external disturbances. By using the merit of tangent function and the method of minimal parameterization, the proposed designs need no requirements for the knowledges of bounds on uncertain parameters or disturbances. Since the adaptive parameters are scalar variables rather than vector ones, computing burden is reduced compared with conventional designs. The effectiveness of proposed control is verified by simulations.