The optimal optimal state estimation for competitive neural network with time-varying delay using Local Search Algorithm

被引：6
作者：
Shi, Zhicheng [1 ]
Yang, Yongqing [1 ,2 ]
Chang, Qi [2 ]
Xu, Xianyun [1 ]
机构：
[1] Jiangnan Univ, Wuxi Engn Res Ctr Biocomp, Sch Sci, Wuxi 214122, Jiangsu, Peoples R China
[2] Jiangnan Univ, Sch IoT Engn, Wuxi 214122, Jiangsu, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2020年 / 540卷
关键词：
Competitive neural network; Sampling state estimation; LMI; Optimal state estimator; LIMIT-CYCLES; STABILITY; SYSTEMS;
D O I：
10.1016/j.physa.2019.123102
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this paper, the optimal state estimation of competitive neural network with time-varying delay is investigated. A valid linear matrix inequality (LMI) method for neuron state estimation is proposed, sufficient conditions for the asymptotic stability of the error system are obtained. When the system is stable, further research is put forward based on the knowledge of cybernetics optimization. In particular, the Local Search Algorithm is used to optimize the parameters of state estimator. The optimal state estimator is obtained by minimizing the preset energy function. Numerical examples are included to illustrate the applicability of the proposed design method. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数：13
相关论文
共 28 条
[1]   State estimation of fractional-order delayed memristive neural networks [J].
Bao, Haibo ;
Cao, Jinde ;
Kurths, Juergen .
NONLINEAR DYNAMICS, 2018, 94 (02) :1215-1225
[2]   H∞ state estimation of stochastic memristor-based neural networks with time-varying delays [J].
Bao, Haibo ;
Cao, Jinde ;
Kurths, Juergen ;
Alsaedi, Ahmed ;
Ahmad, Bashir .
NEURAL NETWORKS, 2018, 99 :79-91
[3]   Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delay [J].
Bao, Haibo ;
Cao, Jinde .
NEURAL NETWORKS, 2011, 24 (01) :19-28
[4]   The optimal control synchronization of complex dynamical networks with time-varying delay using PSO [J].
Chang, Qi ;
Yang, Yongqing ;
Sui, Xin ;
Shi, Zhicheng .
NEUROCOMPUTING, 2019, 333 :1-10
[5]   Exponential state estimation for impulsive neural networks with time delay in the leakage term [J].
Fu X. ;
Li X. ;
Akca H. .
Arabian Journal of Mathematics, 2013, 2 (1) :33-49
[6]  
Huang C., 2019, INT J BIFURCAT CHAOS, V29, P1
[7]   ALMOST PERIODICITY ANALYSIS FOR A DELAYED NICHOLSON'S BLOWFLIES MODEL WITH NONLINEAR DENSITY-DEPENDENT MORTALITY TERM [J].
Huang, Chuangxia ;
Zhang, Hua ;
Huang, Lihong .
COMMUNICATIONS ON PURE AND APPLIED ANALYSIS, 2019, 18 (06) :3337-3349
[8]   Periodicity of non-autonomous inertial neural networks involving proportional delays and non-reduced order method [J].
Huang, Chuangxia ;
Zhang, Hua .
INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2019, 12 (02)
[9]   New studies on dynamic analysis of inertial neural networks involving non-reduced order method [J].
Huang, Chuangxia ;
Liu, Bingwen .
NEUROCOMPUTING, 2019, 325 :283-287
[10]   Global Convergence on Asymptotically Almost Periodic SICNNs with Nonlinear Decay Functions [J].
Huang, Chuangxia ;
Liu, Bingwen ;
Tian, Xuemei ;
Yang, Luanshan ;
Zhang, Xiaoxiao .
NEURAL PROCESSING LETTERS, 2019, 49 (02) :625-641
123