Adaptive Output Feedback Control for Uncertain Nonlinear Systems with Unknown Dead-Zone Input

摘要：

　　In this paper,adaptive output feedback control is investigated for a class of nonlinear systems with unknown dead-zone and dynamic uncertainties.Using the simplified dead-zone formula and K-filters,an adaptive neural control scheme is developed.Unmodeled dynamics is handled with the help of a novel description for unmodeled dynamics.Using dynamics surface control method,the condition that the approximation errors are bounded is avoided.By the theoretical analysis,all the signals in the closed-loop control system are semi-globally uniformly ultimately bounded.Simulation results are provided to illustrate the effectiveness of the proposed approach.

关键词： Adaptive Control Output Feedback Control Dynamic Surface Control Unmodeled Dynamics Unknown Dead-zone Input

作者: Xia Xiao-Nan Zhang Tian-Ping

作者单位: Department of Automation,College of Information Engineering,Yangzhou University,Yangzhou 225127,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 8729-8734

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）