文献类型：期刊文献

英文题名：Realization of a Data-based Adaptive Networked Tracking Control in NetCon System

作者：Zhao, Ye[1]; Tong, Shiwen[2,3]

机构：[1] Beijing Union University, College of Urban Rail Transit and Logistics, Beijing, 100101, China; [2] Beijing Union University, College of Robotics, Beijing, 100101, China; [3] State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[2]Beijing Union University, College of Robotics, Beijing, 100101, China|[1141739]北京联合大学机器人学院;[11417]北京联合大学;

年份：2021

卷号：2021-July

起止页码：4819-4824

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20214311046460)

语种：英文

外文关键词：Delay control systems - Networked control systems - Navigation - Inverse problems - Process control

摘要：It is very difficult to realize the networked tracking control of a controlled process with unclear mechanism. An adaptive networked tracking control method that we proposed can solve such a problem. The method is a data-based control scheme started from the input-output data of the controlled process. We have realized it in the NetCon system. Firstly, the T-S fuzzy model of the controlled object is established according to input-output data by using fuzzy cluster modeling technology. Then the fuzzy prediction model is obtained by transforming it into the fuzzy singleton model through equivalent transformation. A series of control actions are derived by inverting the fuzzy singleton model according to the reversibility condition. These predicted values can compensate the data dropout and time delay in the network communication channels. The influence of external disturbance and uncertainty on system performance is eliminated by using internal model structure and adaptive control method. Finally, experiment results in NetCon system show the effectiveness of the proposed method. ? 2021 Technical Committee on Control Theory, Chinese Association of Automation.