Adaptive Output Feedback Control of Nonlinear Systems with States and Input Unmodeled Dynamics

摘要：

　　In this paper,an adaptive output feedback neural control strategy is investigated for a class of nonlinear systems with states and input unmodeled dynamics based on dynamics surface control method.States unmodeled dynamics is described by introducing a kind of Lyapunov function,and the nonlinear input unmodeled dynamics is dealt with by using a normalization signal.The unknown control gain sign is solved with the help of Nussbaum function.By the theoretical analysis,all the signals in the closed-loop system are proved to be semi-globally uniformly ultimately bounded.A numerical example is provided to illustrate the effectiveness of the proposed approach.

关键词： Adaptive control Output feedback control Dynamic surface control State unmodeled dynamics Input unmodeled dynamics

作者: Xiaonan Xia Tianping Zhang Qin Wang

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 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 383-393

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）