New results for T-S fuzzy systems with hybrid communication delays

被引:29
作者
Cai, Xiao [1 ,2 ]
Shi, Kaibo [2 ,3 ]
She, Kun [1 ]
Zhong, Shouming [4 ]
Wang, Jun [5 ]
Yan, Huaicheng [6 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Yangtze Delta Reg Inst Huzhou, Huzhou 313001, Peoples R China
[3] Chengdu Univ, Sch Elect Informat & Elect Engn, Chengdu 610106, Peoples R China
[4] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
[5] Southwest Minzu Univ, Coll Elect & Informat Engn, Chengdu 610041, Peoples R China
[6] East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
T-S fuzzy system; Delay-product-type functions; Hybrid communication delays; Fuzzy control design; TIME-VARYING DELAY; STABILITY ANALYSIS; STABILIZATION; COMPONENTS; INEQUALITY;
D O I
10.1016/j.fss.2021.08.018
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper deals with the stability problem of T-S fuzzy systems (TSFSs) with hybrid communication delays (HCDs). Compared with traditional communication delays, HCDs with Bernoulli distributed white noise sequences not only involve probabilistic discrete time-varying delays but also random additive time-varying delays (ATVDs). Based on the delay-product-type function (DPTF) and the second derivative method, a novel Lyapunov-Krasovskii functional (LKF) is developed, which fully considers the information of various communication delays. Moreover, by using novel integral inequalities and stochastic analysis theory, new stabilization criteria are established. Meanwhile, the desired fuzzy state feedback controller with HCDs and parallel distributed compensation (PDC) is designed by solving a set of linear matrix inequalities (LMIs). In the end, the usefulness of the obtained theoretical results is illustrated through two numerical simulation examples. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 24
页数:24
相关论文
共 40 条
[1]   Design of robust reliable control for T-S fuzzy Markovian jumping delayed neutral type neural networks with probabilistic actuator faults and leakage delays: An event-triggered communication scheme [J].
Ali, M. Syed ;
Vadivel, R. ;
Saravanakumar, R. .
ISA TRANSACTIONS, 2018, 77 :30-48
[2]   Fuzzy quantized sampled-data control for extended dissipative analysis of T-S fuzzy system and its application to WPGSs [J].
Cai, Xiao ;
Wang, Jun ;
Zhong, Shouming ;
Shi, Kaibo ;
Tang, Yiqian .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2021, 358 (02) :1350-1375
[3]   Robust H∞ control for uncertain delayed T-S fuzzy systems with stochastic packet dropouts [J].
Cai, Xiao ;
Zhong, Shouming ;
Wang, Jun ;
Shi, Kaibo .
APPLIED MATHEMATICS AND COMPUTATION, 2020, 385
[4]   New stability results for delayed neural networks with data packet dropouts [J].
Cai, Xiao ;
Zhong, Shouming ;
Wang, Jun ;
Shi, Kaibo .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 555
[5]   Improved stability criterion and output feedback control for discrete time-delay systems [J].
Chen, Jian ;
Lin, Chong ;
Chen, Bing ;
Wang, Qing-Guo .
APPLIED MATHEMATICAL MODELLING, 2017, 52 :82-93
[6]   Dynamic Output-Feedback Dissipative Control for T-S Fuzzy Systems With Time-Varying Input Delay and Output Constraints [J].
Choi, Hyun Duck ;
Ahn, Choon Ki ;
Shi, Peng ;
Wu, Ligang ;
Lim, Myo Taeg .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2017, 25 (03) :511-526
[7]   Improved Stability Condition for Takagi-Sugeno Fuzzy Systems With Time-Varying Delay [J].
Feng, Zhiguang ;
Zheng, Wei Xing .
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (03) :661-670
[8]   ANALYSIS, PARAMETER-ESTIMATION AND OPTIMAL-CONTROL OF TIME-DELAY SYSTEMS VIA TSCHEBYSCHEFF SERIES [J].
HORNG, IR ;
CHOU, JH .
INTERNATIONAL JOURNAL OF CONTROL, 1985, 41 (05) :1221-1234
[9]   Stability and stabilization of T-S fuzzy systems with time-varying delays via augmented Lyapunov-Krasovskii functionals [J].
Kwon, O. M. ;
Park, M. J. ;
Park, Ju H. ;
Lee, S. M. .
INFORMATION SCIENCES, 2016, 372 :1-15
[10]   A new intelligent digital redesign for T-S fuzzy systems: Global approach [J].
Lee, HJ ;
Kim, H ;
Joo, YH ;
Chang, W ;
Park, JB .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (02) :274-284