初态学习下广义系统的迭代学习控制算法  

Algorithm of iterative learning control for singular systems with initial state learning

作　　者：田森平[1] 许晖敏 谢胜利[2] 傅予力[3] TIAN Senping XU Huimin XIE Shengli FU Yuli(School of Automation Science and Engineering,South China University of Teehnology,Guangzhou 510640 School of Automation,Guangdong University of Teehnology,Guangzhou 510006 Sehool of Electronic and Information Engineering,South China University of Teehnology,Guangzhou 510640)

机构地区：[1]华南理工大学自动化科学与工程学院,广州510640 [2]广东工业大学自动化学院,广州510006 [3]华南理工大学 电子与信息学院,广州510640

出　　处：《南京信息工程大学学报（自然科学版）》2017年第4期411-416,共6页Journal of Nanjing University of Information Science & Technology（Natural Science Edition）

基　　金：国家自然科学基金(61374104;61573154)资助

摘　　要：针对一类在有限时间区间上运行的广义系统,提出了一种初态学习下的迭代学习控制算法,该算法对系统的控制输入采用闭环带指数变增益D型学习律.基于算子理论,给出了算法的收敛条件.该算法与闭环D型算法相比,在保证收敛的基础上加快了算法的收敛速度.数值仿真结果说明了该算法的优越性.For a class of singular systems operated repeatedly on finite interval, the paper proposes an iterative learning control algorithm based on initial state learning with index gain for control input.By using the operator theo- ry,the paper gives the convergence conditions.The algorithm can speed up the convergence rate on the basis of en- suring convergence when compared with the closed-loop D type algorithm.The effectiveness of the iterative learning control algorithm is proved by the illustrative example.

关 键 词：广义系统 迭代学习控制 收敛速度 初态学习 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]