A Discrete-Time Adaptive Iterative Learning from Different Reference Trajectory for Linear Time-Varying Systems

摘要：

An adaptive ILC approach is presented for a linear MIMO discrete-time system to track different reference trajectory. The presented adaptive ILC is a data-driven approach in nature and the controller does not contain any modeling information of the plant. The unknown Markov parameter of the plant is iteratively estimated only using the I/O data of the plant. The rigorous analysis shows the asymptotic convergence of the presented method for iteration-varying reference trajectory.

关键词： Adaptive ILC Discrete-Time Linear time-varying Systems Different reference trajectory Data-driven control

作者: CHI Ronghu WANG Danwei HOU Zhongsheng JIN Shangtai ZHANG Dexia

作者单位: School of Automation & Electrical Engineering, Qingdao University of Science & TechnologyQingdao 266 EXQUISITUS, Centre for E-City, School of Electrical & Electronic Engineering, Nanyang Technological Advanced Control Systems Lab, School of Electronics & Information Engineering, Beijing Jiaotong Univ Advanced Control Systems Lab, School of Electronics & Information Engineering, Beijing Jiaotong Univ

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: 3013-3016

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）