Non-fragile state estimation for discrete-time neural network system with randomly occurring sensor saturations

被引：0

作者：

Bao Wendong ^{[1
]}

Li Jianning ^{[1
]}

Lv Meilei ^{[1
,2
]}

Cai Jianping ^{[1
]}

Wen Chenglin ^{[1
]}

机构：

[1] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Zhejiang, Peoples R China

[2] Quzhou Univ, Inst Elect & Informat Engn, Quzhou 324000, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

基金：

中国国家自然科学基金;

关键词：

Non-fragile state estimation; Time delays; Nonlinearity; Sensor saturations; LINEAR-SYSTEMS; ASYMPTOTIC STABILITY; VARYING DELAYS; STABILIZATION; ACTUATOR; CRITERIA; SUBJECT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates the problem for the non-fragile state estimation of discrete-time neural network system with randomly occurring sensor saturations and time delays. In order to show the possible gain variations occurring in complex environments, a non-fragile state estimator is designed to ensure the estimation error converges to zero exponentially. And, by using a sensor saturation function to deals with the sensor saturation phenomenon. Then, Lyapunnov-Krasovskii functional approach is proposed, sufficient conditions are established to guarantee the existence of the desired state estimator. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

引用

页码：3089 / 3094

页数：6

共 50 条

[41] Non-fragile synchronization of BAM neural networks with randomly occurring controller gain fluctuation
Thakur, Ganesh Kumar
Garg, Sudesh Kumar
Singh, Tej
Ali, M. Syed
Arora, Tarun Kumar
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (04) : 7302 - 7315
[42] Security-guaranteed filtering for discrete-time stochastic delayed systems with randomly occurring sensor saturations and deception attacks
Wang, Dong
Wang, Zidong
Shen, Bo
Alsaadi, Fuad E.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017, 27 (07) : 1194 - 1208
[43] Robust Estimation-Based Non-Fragile Control for Discrete-Time Non-Linear Systems
Javanfar, Elham
Rahmani, Mehdi
Wafi, Moh Kamalul
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2025, 35 (06) : 2462 - 2471
[44] Event-triggered Non-fragile State Estimation for Discrete Nonlinear Markov Jump Neural Networks with Sensor Failures
Li, Jianning
Li, Zhujian
Xu, Yufei
Gu, Kaiyang
Bao, Wendong
Xu, Xiaobin
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2019, 17 (05) : 1131 - 1140
[45] Event-triggered Non-fragile State Estimation for Discrete Nonlinear Markov Jump Neural Networks with Sensor Failures
Jianning Li
Zhujian Li
Yufei Xu
Kaiyang Gu
Wendong Bao
Xiaobin Xu
International Journal of Control, Automation and Systems, 2019, 17 : 1131 - 1140
[46] Non-fragile synchronization of neural networks with time-varying delay and randomly occurring controller gain fluctuation
Fang, Mei
Park, Ju H.
APPLIED MATHEMATICS AND COMPUTATION, 2013, 219 (15) : 8009 - 8017
[47] Distributed state estimation for nonlinear systems with randomly occurring sensor saturations and missing measurement
Qian W.
Zhang X.-L.
Zhao Y.-J.
Fei S.-M.
Kongzhi yu Juece/Control and Decision, 2023, 38 (11): : 3137 - 3146
[48] Non-fragile asynchronous state estimation for Markovian switching CVNs with partly accessible mode detection: The discrete-time case
Li, Qiang
Liang, Jinling
APPLIED MATHEMATICS AND COMPUTATION, 2022, 412
[49] Non-fragile extended dissipative synchronization control of delayed uncertain discrete-time neural networks
Adhira, B.
Nagamani, G.
Dafik, D.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2023, 116
[50] Non-fragile finite-time l2-l∞ state estimation for discrete-time Markov jump neural networks with unreliable communication links
Li, Feng
Shen, Hao
Chen, Mengshen
Kong, Qingkai
APPLIED MATHEMATICS AND COMPUTATION, 2015, 271 : 467 - 481

← 1 2 3 4 5 →