ADAPTIVE NEURAL NETWORK CONTROL OF NONLINEAR SYSTEMS WITH UNMODELED DYNAMICS

摘要：

A robust adaptive neural network (NN) control scheme is proposed for a class of nonlinear systems with unknown control gain functions and unmodeled dynamics. The proposed design method expands the class of nonlinear systems for which adaptive neural network control approaches have been studied. By a special design scheme, the controller singularity problem is avoided. The developed NN control scheme achieves uniform ultimate boundedness of all the signals in the closed-loop system and steers the output to a small neighborhood of the origin. Simulation study is provided to verify the theoretical results.

关键词： Neural network Nonlinear systems Unmodeled dynamics

作者: GANG CHEN

作者单位: College of Automation, Chongqing University, Chongqing 400030, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 262-267

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）