Fuzzy optimal control for nonlinear systems with time-varying delay via sampled-data controller

被引：0
|
作者：
Zifang Qu
Zhengdi Zhang
Zhenbin Du
Tiebiao Zhao
机构：
[1] Jiangsu University,Faculty of Science
[2] Shandong Technology and Business University,School of Mathematics and Information Science
[3] Yantai University,School of Computer and Control Engineering
[4] University of California Merced,School of Engineering
来源：
Soft Computing | 2020年 / 24卷
关键词：
Fuzzy system; Time delay; Sampled-data control; Optimal control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This work is devoted to a fuzzy sampled-data optimal control problem for nonlinear systems with time-varying delay in Takagi–Sugeno fuzzy form. Based on the Lyapunov–Krasovskii functional theory, some novel stability criteria are established. A fuzzy sampled-data controller is developed to ensure that the fuzzy closed-loop sampled-data control system is asymptotically stable and the guaranteed cost performance is also minimized. It is shown that the obtained results are less conservative in the stability analysis. Two examples of the computer-simulated truck-trailer system and the continuous stirred tank reactor system are provided to show the effectiveness and the merits of the proposed design.
引用
收藏
页码：14743 / 14755
页数：12
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