非线性分布参数切换系统事件触发采样迭代学习控制  

Event-triggered sampled iterative learning control for nonlinear distributed parameter switched system

作　　者：盛程相 戴喜生[1,2] SHENG Chengxiang;DAI Xisheng(School of Automation,Guangxi University of Science and Technology,Liuzhou 545616,China;Institute of Intelligent Systems and Control(Guangxi University of Science and Technology),Liuzhou 545616,China)

机构地区：[1]广西科技大学自动化学院,广西柳州545616 [2]智能系统与控制研究所(广西科技大学),广西柳州545616

出　　处：《广西科技大学学报》2024年第4期58-66,共9页Journal of Guangxi University of Science and Technology

基　　金：国家自然科学基金项目(62363002,61863004)资助。

摘　　要：本文研究了一类非线性分布参数切换系统事件触发采样迭代学习控制问题。基于系统的输入和系统的输出数据采样,利用Lyapunov函数的方法得出事件触发条件,使得控制器只在事件触发条件被满足时才更新,有效地减少了迭代学习过程中控制器的更新。通过严格的数学推导证明了事件触发采样迭代学习控制的收敛性。最后,通过数值仿真实验验证了算法的有效性。In this paper,we studied the event-triggered sampled iterative learning control problem for a nonlinear distributed parameter switched system.Based on the sampling of the system input and system output,the method of Lyapunov function was used to obtain the event-triggered conditions,and the controller would be updated when the event-triggered conditions were satisfied,which effectively reduced the update of the controller in the iterative learning process.The convergence of the eventtriggered sampled iterative learning control was proved through strict mathematical derivation.The effectiveness of the algorithm was verified by numerical simulation experiments.

关 键 词：分布参数切换系统 数据采样 迭代学习控制 事件触发 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]