Adaptive Neural Network Control for Pure-feedback Nonlinear Time Delay Systems with Triangular Control Structure

摘要：

　　In this paper,adaptive neural network control is investigated for a class of nonlinear systems under the effects of time delay and uncertain nonlinear functions.The system is described in form of pure-feedback and triangle structure,and the virtual control law is proposed to solve the mismatch problem.The unknown functions are approximated by adaptive neural networks and the weights of the neural network are iteratively and adaptively updated through the system state.To overcome the controller singular problem,integral-type Lyapunov function is utilized,the closed-loop control system is proved to be semiglobally uniformly ultimately bounded (SGUUB).A number of bench mark tests are simulated to demonstrate the effectiveness of the proposed approach.

关键词： Time delayed purefeedback nonlinear system adaptive control backstepping

作者: Jianhua Zhang Yang Li Xueli Wu Kaituo Wang

作者单位: Hebei University of Science and Technology,Shijiazhuang,050054,China Hebei University of Science and Technology,Shijiazhuang,050054,China;YanShan University,Qinhuangdao,

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: 1834-1838

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）