From Adaptation to Iterative Learning: A New Discrete-Time Adaptive ILC

摘要：

By using the analogy between the discrete time axis and the iterative learning axis, a new adaptive iterative learning control approach is established to cope with nonlinear discrete-time systems in the presence of time-varying parameters. Analogous to adaptive control, the new adaptive ILC can incorporate a Least-Squares algorithm, hence the learning gain can be tuned iteratively along the learning axis. The new control approach overcomes the limitations of traditional ILC in that the target trajectory and initial condition need not be identical when the control process repeats, in the sequel achieves an almost perfect tracking performance.

作者: Ronghu Chi Jianxin Xu Zhongsheng Hou Shulin Sui

作者单位: School of Automation and Electrical Engineering Qingdao University of Science and Technology Qingdao Department of Electrical and Computer Engineering National University of Singapore Singapore 119260 School of Electronics and Information Engineering Beijing Jiaotong University Beijing, 100044 ,P.R.C School of Automation and Electrical Engineering Qingdao University of Science and Technology Qingdao

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）