The Robust Iterative Learning Control of Networked Control Systems with Varying References

摘要：

　　In this paper,the iterative learning control (ILC) is applied to the networked control system (NCS) with iterative varying references and time-delayed states.A robust PD type ILC learning law is discussed including both feedback and feedforward terms.And a P type reference updating law is applied to improve the convergence speed.The convergence conditions are derived in both frequency and time domains.The learning gains in the updating law guarantee the convergence of the control strategy,and can be adjusted to improve the convergence speed to a large extent.A number of simulation results are provided to validate the concepts and the tuning rules are summarized as well.

关键词： Iterative learning control Networked control system Convergence. Robustness Iterative varying references

作者: Lun Zhai Cuohui Tian Fengyu Zhou Yan Li

作者单位: Service Robots Laboratory of Shandong Universiy,School of Control Science and Engineering, Shandong University, Shandong, 250061

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 19-24

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）