Sampled-data Control for T-S Fuzzy Systems with Quantized Signals

被引：0
|
作者：
Han, Xiaojing [1 ]
Cheng, Ningwei [1 ]
Ma, Yuechao [1 ]
机构：
[1] Yanshan Univ, Sch Sci, Qinhuangdao 066004, Peoples R China
来源：
PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS) | 2018年
关键词：
T-S fuzzy systems; Sampled-data controller; Quantized signals; LMIs; LINEAR-SYSTEMS; H-INFINITY; FEEDBACK;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper deals with the problem of sampled-data control for T-S fuzzy systems with quantized signals. Based on the constructed Lyapunov-Krasovskii functional(LKF), Jensen's inequality and Free weight matrix, some sufficient conditions are obtained in the form of linear matrix inequalities(LMIs). By combining the input delay approach and dynamic quantizer, the sampled-data controller is designed to guarantee that T-S fuzzy systems with quantized signals is asymptotically stable. Finally, a numerical example is presented to verify the feasibility and effectiveness of the proposed methods.
引用
收藏
页码：145 / 149
页数：5
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