P type Iterative Learning Control for Uncertain Linear System
Iterative learning control (1LC) is a simple and effective method for the control of systems that perform the same task repetitively. ILC algorithm uses the repetitiveness of the task to track the desired trajectory. In this paper, the design of an open-close loop P type iterative learning controller for an uncertain system is studied. The design procedure is based upon obtaining the necessary and sufficient conditions of convergence by Lyapunov theory, an iterative learning law is obtained by resolving Riccati equation.
uncertain system open-close P type learning iterative learning control Lyapunov theory Riccati equation
Zhan Xisheng Wu Jie
Department of Control Science and Engineering Hubei Normal University Huangshi Hubei Province 435002 China
国际会议
太原
英文
410-413
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）