Adaptive Dynamic Surface Control with Prescribed Tracking Performance for Nonlinear Systems in Pure-Feedback Form

摘要：

　　A novel adaptive dynamic surface control(DSC)with prescribed tracking performance is proposed for a class of uncertain nonlinear systems in pure-feedback form.By combining Nussbaum gain function(NGF)with decoupled backstepping,the problems of unknown control directions and control singularity are simultaneously solved.Furthermore,the norm of the ideal weighting vector in neural network(NN)systems is considered as the estimation parameter,such that only one parameter is adjusted at each recursive step.In particular,by prescribed performance bounds,the prespecified tracking performance,i.e.,the convergence rate,the allowed maximum overshoot and the steady state error,can be achieved.Based on decoupled backstepping method and Lyapunov stability theorem,the semi-global stability of the close-loop system is proved.Simulation results demonstrate the effectiveness of the control scheme.

关键词： Adaptive control dynamic surface control prescribed tracking performance nonlinear systems in pure-feedback form

作者: LIU Shuguang LIU Fang ZHANG Xianglun LIANG Shuai TANG Qiang

作者单位: Aeronautics and Astronautics Engineering College,Air Force Engineering University,Xian 710038 Science and Technology on Aircraft Control Laboratory,Flight Automatic Control Research Institute,Xi

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: 8785-8790

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）