文献类型：期刊文献

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] Dept. Automation, East China University of Science and Technology, China

年份：2010

起止页码：554

外文期刊名：Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

收录：EI(收录号：20104313324856)

语种：英文

外文关键词：Nonlinear equations - Variable structure control - Neural networks - Differential equations - Hysteresis - Adaptive control systems - Uncertainty analysis

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. ? 2010 IEEE.