PD-type iterative learning algorithm for uncertain time-delay systems

摘要：

In this paper, for a class of NCS with uncertain time delay, a PD-type iterative learning algorithm (ILC) is proposed to compensate the time delay. Based on the strictly repetition of the initial state, the sufficient conditions which guarantee the uniform convergence of the ILC is given. And the limit output trajectories generated by the action of the ILC are also presented. Then, comparing with the efficiency of the P-type ILC algorithm, it is shown that the PD-type ILC is more effective to compensate the time delay. For the case that the range of the time delay becomes smaller, it can track the output trajectories more precisely than the P-type ILC algorithm. Moreover, under the same number of iteration, the PD-type ILC algorithm can track the state trajectories faster than the P-type ones.

关键词： Network time-delay Iterative learning control algorithm Strictly repetition of the initial state Uncertain time-delay control systems

作者: Jianzhou Xu Yanxin Zhang

作者单位: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044 Beijin School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 2312-2316

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）