Weighted Memory H∞ Stabilization of Time-Varying Delayed Takagi-Sugeno Fuzzy Systems

被引:2
作者
Yan, Shen [1 ]
Gu, Zhou [1 ]
Ding, Liming [2 ]
Park, Ju H. [3 ]
Xie, Xiangpeng [4 ]
机构
[1] Nanjing Forestry Univ, Nanjing 210037, Peoples R China
[2] Huaihua Univ, Sch Comp & Artificial Intelligence, Sch Software, Huaihua 418008, Peoples R China
[3] Yeungnam Univ, Dept Elect Engn, Gyongsan 38541, South Korea
[4] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Delayed fuzzy systems; H(infinity )stabilization; weighted memory control; CONTROLLER-DESIGN; STABILIZATION; STABILITY;
D O I
10.1109/TFUZZ.2023.3294339
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This note proposes a novel weighted memory H-infinity controller for time-varying delayed Takagi-Sugeno fuzzy systems via a distributed delay method. In contrast to the traditional memory controller based on instantaneous historical data, the continuous historical information over a given period is utilized to construct the fuzzy-based memory controller, in which a weighting function is employed for the first time to describe the importance of historical information. Then, the weighted historical information is expressed as a distributed delay and the weights are represented as delay kernel. By using a less conservative integral inequality with respect to the weighted historical information, original sufficient conditions are deduced to solve the fuzzy weighted memory H-infinity controller gains. Finally, simulations are carried out to reveal the merits of the presented controller.
引用
收藏
页码:337 / 342
页数:6
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