NONFRAGILE MEMORY-BASED OUTPUT FEEDBACK CONTROL FOR FUZZY MARKOV JUMP GENERALIZED NEURAL NETWORKS WITH REACTION-DIFFUSION TERMS

被引：17

作者：

Man, Jingtao ^{[1
]}

Song, Xiaona ^{[1
]}

Lu, Junwei ^{[2
]}

机构：

[1] Henan Univ Sci & Technol, Sch Informat Engn, 263 Kaiyuan Ave, Luoyang 471023, Peoples R China

[2] Nanjing Normal Univ, Sch Elect & Automat Engn, 2 Xuelin Rd, Nanjing 210042, Jiangsu, Peoples R China

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2019年 / 15卷 / 05期

基金：

中国国家自然科学基金;

关键词：

GNNs; Markov jump; Nonfragile memory-based control; Reaction-diffusion terms; T-S fuzzy model; GLOBAL EXPONENTIAL STABILITY; DELAY-DEPENDENT STABILITY; DISSIPATIVITY ANALYSIS; SYNCHRONIZATION; ROBUST; PARAMETERS; DISCRETE; SYSTEMS;

D O I：

10.24507/ijicic.15.05.1609

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper investigates the stabilization issue of T-S fuzzy Markov jump generalized neural networks (GNNs) with reaction-diffusion terms. A nonfragile memory-based control strategy that contains a constant signal transmission delay is proposed. Additionally, the controller gain optimization method and the principle for the number of selected variables in the derived process are also analyzed in this paper. Firstly, based on the original T-S fuzzy Markov jump GNNs, a full-order observer with designed controller is established. Then the stable criteria of the considered error system are proposed and two relevant corollaries are also derived. Finally, three numerical examples are given to demonstrate the validity of the related results and the superiority of the designed controller.

引用

页码：1609 / 1628

页数：20

共 39 条

[1] Decentralized Event-Triggered Exponential Stability for Uncertain Delayed Genetic Regulatory Networks with Markov Jump Parameters and Distributed Delays [J].

Ali, M. Syed ;

Vadivel, R. .

NEURAL PROCESSING LETTERS, 2018, 47 (03) :1219-1252

[2] State estimation of T-S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control [J].

Ali, M. Syed ;

Gunasekaran, N. ;

Zhu, Quanxin .

FUZZY SETS AND SYSTEMS, 2017, 306 :87-104

[3]

[Anonymous], IEEE T NEURAL NETWOR

[4] Delay-dependent stability and dissipativity analysis of generalized neural networks with Markovian jump parameters and two delay components [J].

Chen, Guoliang ;

Xia, Jianwei ;

Zhuang, Guangming .

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2016, 353 (09) :2137-2158

[5]

Chen L, 2014, COMM COM INF SC, V484, P455

[6] Synchronization of generalized reaction-diffusion neural networks with time-varying delays based on general integral inequalities and sampled-data control approach [J].

Dharani, S. ;

Rakkiyappan, R. ;

Cao, Jinde ;

Alsaedi, Ahmed .

COGNITIVE NEURODYNAMICS, 2017, 11 (04) :369-381

[7] Synchronization criteria for generalized reaction-diffusion neural networks via periodically intermittent control [J].

Gan, Qintao ;

Lv, Tianshi ;

Fu, Zhenhua .

CHAOS, 2016, 26 (04)

[8] Further results on stabilization of neural-network-based systems using sampled-data control [J].

Ge, Chao ;

Wang, Hong ;

Liu, Yajuan ;

Park, Ju H. .

NONLINEAR DYNAMICS, 2017, 90 (03) :2209-2219

[9]

Gu Keqin, 2003, CONTROL ENGN SER BIR

[10]

Hu M., 2018, IMA J MATH CONTROL I, V30, P407

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