New insights on fuzzy sampled-data stabilization of delayed nonlinear systems

被引：0
|
作者：
Saravanakumar, Ramasamy [1 ]
Datta, Rupak [2 ]
Cao, Yang [3 ]
机构：
[1] Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima,739–8527, Japan
[2] Department of Mathematics, National Institute of Technology, Agartala,799046, India
[3] School of Cyber Science and Engineering, Southeast University, Nanjing,211189, China
来源：
Chaos, Solitons and Fractals | 2022年 / 154卷
基金：
中国国家自然科学基金;
关键词：
Controllers - Fuzzy control - Linear matrix inequalities - Integral equations - Closed loop systems - Nonlinear systems - Stabilization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper explores an improved T-S fuzzy stabilization criteria for nonlinear systems with time-delays via memory sampled-data strategy in the looped-functional context. The sampling period is assumed to be varying within an interval. A new integral inequality is developed to minimize conservatism in the integral term. In addition, free-matrix-based integral inequality (FMBII), and Wirtinger-based integral inequality (WII) are employed. Improved stabilization conditions are derived in linear matrix inequalities (LMIs) using the FMBII, which is based on the looped-functional approach (LFA). A fuzzy memory sampled-data controller design is devised to ensure the asymptotic stability of the closed-loop system. The numerical investigation is carried out with the different approaches, and the resulting outcomes justify that the derived results are less conservative and advantageous over the existing systems. © 2021 Elsevier Ltd
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