A Novel Optimal Terminal Iterative Learning Control Approach for Linear Time-varying Systems

摘要：

This work explores a novel optimal terminal ILC approach to generate a control signal only from the information of the terminal point rather than the whole trajectory. The presented scheme is data-driven using the measured I/O data without knowing any modeling information of the plant. Compared with traditional optimal ILCs, the Markov parameters of the system can be iteratively estimated, which is used as a key part of the control law’s learning gain. The stability and convergence is shown in the iteration domain by selecting suitable parameters.

关键词： Optimal ILC Terminal ILC Linear time-varying systems MIMO 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

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: 7080-7083

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）