Iterative learning control for a class of nonlinear system with random packet dropouts
This paper considers the iterative learning control (ILC) for a class of nonlinear systems with random packet dropout. It is assumed that an ILC scheme is implemented via a networked control system (NCS), and that during the packet transfer between the remote plant and the ILC controller packet dropout occurs. A new formulation is employed to model the packet dropout case, where the random dropout rate is transformed into a stochastic parameter in the system’s representation. Through rigorous analysis, it is shown that under some given conditions, the iterative learning control can guarantee the convergence of the output error although some packets are missing. The analysis is also supported by a numerical example.
iterative learning control networked control system packet dropout nonlinear system
BU Xuhui YU Fashan HOU Zhongsheng ZHANG Hongwei
School of Electrical Engineering & Automation, Henan Polytechnic University, Jiaozuo, 454000, China School of Electrical Engineering & Automation, Henan Polytechnic University, Jiaozuo, 454000, China Advanced Control Systems Lab., School of Electronics and Information Engineering,Beijing Jiaotong Un
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
2954-2959
2012-07-01(万方平台首次上网日期,不代表论文的发表时间)