Iterative learning control with forgetting factor for linear distributed parameter systems with uncertainty

作者：Dai, Xisheng; Tian, Senping^*; Luo, Wenguang; Guo, Yajun

来源：Journal of Control Science and Engineering, 2014, 2014: 1-7.

DOI：10.1155/2014/508573

• Basic theory
• Distributed parameter systems
• Forgetting factors
• Forward difference scheme
• Human learning
• Iterative learning control
• Iterative learning control algorithm
• Matrix theory

Iterative learning control is an intelligent control algorithm which imitates human learning process. Based on this concept, this paper discussed iterative learning control problem for a class parabolic linear distributed parameter systems with uncertainty coefficients. Iterative learning control algorithm with forgetting factor is proposed and the conditions for convergence of algorithm are established. Combining the matrix theory with the basic theory of distributed parameter systems gives rigorous convergence proof of the algorithm. Finally, by using the forward difference scheme of partial differential equation to solve the problems, the simulation results are presented to illustrate the feasibility of the algorithm.

• 出版日期2014
• 单位广西大学; 华南理工大学