Iterative Learning Control for Uncertain Singular System

摘要：

In this paper, the problem of iterative learning control for fast subsystem with impulse is investigated based on the Weierstrass canonical form, the sufficient condition that guarantees the convergence of P-type learning law is derived. The uncertain single input single output singular system in the present of uncertainty is discussed, the method to choose the gain matrix that the actual output converge to desired trajectory as quickly as possible is given by optimization and genetic algorithm.

关键词： singular system impulse,uncertainty,iterative learning control,convergence

作者: Fengxian Piao Qingling Zhang Zhefeng Wang

作者单位: College of Science, Northeastern University Shenyang 110004, P.R.China;Shenyang Institute of Aeronau College of Science, Northeastern University Shenyang 110004, P.R.China Shenyang Institute of Aeronautical Engineering Shenyang 110034, P.R.China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 1469-1474

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）