Finite-time non-fragile extended dissipative control for T-S fuzzy system via augmented Lyapunov-Krasovskii functional

被引:14
|
作者
Liu, Yuanyuan [1 ]
Ma, Yuechao [1 ]
机构
[1] Yanshan Univ, Sch Sci, Qinhuangdao 066004, Hebei, Peoples R China
关键词
Finite-time; Non-fragile; Extended dissipative; Augmented Lyapunov-Krasovskii functional; Reciprocally convex matrix inequality; MARKOVIAN JUMP SYSTEMS; SAMPLED-DATA CONTROL; STABILITY ANALYSIS; LINEAR-SYSTEMS; VARYING DELAY; ACTUATOR SATURATION; NEURAL-NETWORKS; CONTROL DESIGN; STABILIZATION; INEQUALITY;
D O I
10.1016/j.isatra.2021.01.038
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of non-fragile control for T-S fuzzy systems with parameter uncertainties is investigated in this paper. The focus is to construct an augmented Lyapunov-Krasovskii functional(LKF), single integral terms are processed by the method of an improved reciprocally convex inequality and integration by parts, which is derived to a new h(t)-depended stability criteria that finite-time bounded with extended dissipative for the closed-loop system. Furthermore, by using the linear matrix inequalities(LMIs), we can get the desired gain matrices of T-S fuzzy system. It is worth noting that these condition can derive to less conservative results than those existing approaches. And numerical examples are used to demonstrate the feasibility and superiority of the results. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.
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页码:1 / 15
页数:15
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