A New Time-delay Compensation Method in NCS Based on T-S Fuzzy Model

被引:0
作者
Wang, Xiaoshan [1 ]
Zhang, Yanxin [1 ]
机构
[1] Beijing Jiao Tong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
来源
2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL III | 2010年
关键词
networked control system; round trip time; T-S fuzzy model; GK fuzzy clustering; delay compensator;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The end-to-end time-delay induced by the network is one of the main issues in Networked Control Systems (NCS). In order to compensate the delay more effectively, this paper presents a novel approach to predict it on line using the T-S fuzzy method. The basic idea of this method is to assume that the system dynamics can be described by a set of rules rather than a single one, and the final output is given by a combination of the estimates according to all these fuzzy rules. GK fuzzy clustering will be used in the process of building the T-S fuzzy model and generating the predicted values. By numerical simulations, it is proved that the T-S fuzzy method can predict and compensate the time delay effectively.
引用
收藏
页码:343 / 346
页数:4
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