LMI Approach to Robust Monotonically Convergent Iterative Learning Control for Uncertain Linear Discrete-time Systems

摘要：

This paper presents a robust monotonically convergent (RMC) iterative learning control (ILC) design for a class of uncertain linear discrete-time systems with non-zero constant initial error. The learning law under consideration is an anticipatory ILC. Based on a simple quadratic performance function, a sufficient condition for robust monotonic convergence of the proposed learning algorithm is presented in terms of linear matrix inequality (LMI). Finally, a simulation example is given to show the effectiveness of the proposed scheme.

关键词： Iterative learning control uncertain linear systems quadratic performance robust control linear matrix inequality

作者: LI Zhifu YUAN Peng HU Yueming GUO Qiwei MA Ge

作者单位: Engineering Research Center for Precision Electronic Manufacturing Equipments of Ministry of Education, College of AutomationScience and Engineering, South China University of Technology, Guangzhou 510640, P. R. China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 2889-2894

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）