New Filter Design for Static Neural Networks with Mixed Time-Varying Delays

被引：1

作者：

Liu, Guoquan ^{[1
]}

Zhou, Shumin ^{[1
]}

Luo, Xianxi ^{[1
]}

Zhang, Keyi ^{[1
]}

机构：

[1] East China Univ Technol, Jiangxi Prov Engn Res Ctr New Energy Technol & Eq, Nanchang 330013, Peoples R China

来源：

INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2016, PT II | 2016年 / 9772卷

关键词：

Filter design; Static neural networks; Lyapunov-Krasovskii functional; Distributed time-varying delay; DEPENDENT H-INFINITY; DISTRIBUTED DELAYS; ROBUST STABILITY; DISCRETE; ESTIMATOR; MODELS;

D O I：

10.1007/978-3-319-42294-7_10

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 focuses on designing a H-infinity filter for a class of static neural networks with mixed time-varying delays. Here the mixed time-varying delays contain both discrete and distributed time-varying delays. Based on a Lyapunov-Krasovskii functional combined with a zero equation, a suitable H-infinity filter is obtained for the static neural networks model. The filter can be solved by a linear matrix inequality (LMI). Two numerical examples are presented to validate the proposed method. In addition, the obtained filter can be applied to design the control systems with delays.

引用

页码：117 / 129

页数：13

共 50 条

[1] New Results on State Estimation of Static Neural Networks with Time-Varying Delays
He, Jing
Liang, Yan
2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2020, : 656 - 661
[2] Design of controller on synchronization of chaotic neural networks with mixed time-varying delays
Song, Qiankun
NEUROCOMPUTING, 2009, 72 (13-15) : 3288 - 3295
[3] Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays
Baluni, Sapna
Yadav, Vijay K.
Das, Subir
Cao, Jinde
COGNITIVE COMPUTATION, 2024, 16 (03) : 888 - 908
[4] New and improved results on stability of static neural networks with interval time-varying delays
Kwon, O. M.
Park, M. J.
Park, Ju H.
Lee, S. M.
Cha, E. J.
APPLIED MATHEMATICS AND COMPUTATION, 2014, 239 : 346 - 357
[5] New Results for Impulsive Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays
Chaouki Aouiti
Mohammed Salah M’hamdi
Farouk Chérif
Neural Processing Letters, 2017, 46 : 487 - 506
[6] New Results for Impulsive Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays
Aouiti, Chaouki
M'hamdi, Mohammed Salah
Cherif, Farouk
NEURAL PROCESSING LETTERS, 2017, 46 (02) : 487 - 506
[7] Design of H∞ control of neural networks with time-varying delays
V. N. Phat
H. Trinh
Neural Computing and Applications, 2013, 22 : 323 - 331
[8] Design of H∞ control of neural networks with time-varying delays
Phat, V. N.
Trinh, H.
NEURAL COMPUTING & APPLICATIONS, 2013, 22 : S323 - S331
[9] A delay-dependent approach to stability for static recurrent neural networks with mixed time-varying delays
Lu, Chienyu
Su, Tejen
Su, Yihui
Huang, Shinchun
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2008, 4 (07): : 1661 - 1672
[10] Stochastic stability analysis for neural networks with mixed time-varying delays
Yuechao Ma
Yuqing Zheng
Neural Computing and Applications, 2015, 26 : 447 - 455

← 1 2 3 4 5 →