Combined Adaptive Learning Control for a Class of LTV Systems

摘要：

In this paper, a new combined adaptive iterative learning control algorithm is proposed for a class of high order linear time-varying (LTV) systems which is repeatable over a finite time interval. The structure of iterative learning control system based on model reference adaptive control scheme is given, and adaptive learning law in both time-domain and iteration-domain is designed for time-invariant and time-varying parameters by using Lyapunov stability theory. The proposed algorithm can be applied to linear systems with time-varying and time-invariant parameters simultaneously. The convergence performance and states tracking accuracy are analyzed in details. Finally the effectiveness of the proposed algorithm is demonstrated by simulations.

关键词： Iterative Learning Control Adaptive Control Linear Time-varying System

作者: Yu Guo Chuan Zhou Qingwei Chen

作者单位: School of Automation, Nanjing University of Science and Technology, Nanjing, 210094

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 3986-3991

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）