摘要
广义系统广泛存在于工业控制系统模型;针对传感器至控制器通过无线网络连接的一类广义网络控制系统,采取迭代学习控制策略,通过卡尔曼滤波减少无线信道噪声对系统控制性能的影响;理论上,通过λ范数给出了系统在给定的学习率下的收敛条件;通过实验仿真验证迭代学习策略中加入卡尔曼滤波的有效性和优越性。
Generalized system exists in many industrial control system. The strategy of the iterative learning control for a class of generalized network control system with the sensor to the controller connected via a wireless network is implemented in this paper. Kalman filter is used to reduce the effect on the performance of the system by wireless channel noise. According to the λ norm,the convergence condition of the system with the given study rate is derived. Simulation example shows the effectiveness and superiority of the proposed algorithm.
出处
《重庆工商大学学报(自然科学版)》
2016年第3期34-37,共4页
Journal of Chongqing Technology and Business University:Natural Science Edition
基金
国家自然科学基金(61303209
61572366)
皖西学院校级项目(WXZQ1418)
关键词
无线网络控制系统
广义系统
卡尔曼滤波
迭代学习控制
wireless networked control system
generalized system
Kalman filtering
iterative learning control