Recursive Estimation for Saturated Complex Networks with Random Coupling Strength under Weighted Try-Once-Discard Protocol

被引：0
作者：
Chen, Qiwen [1 ,2 ,3 ,4 ,5 ]
Song, Yanhua [1 ,2 ,3 ,4 ,5 ]
Dai, Dongyan [1 ,2 ,3 ,4 ,5 ]
Zhang, Jinnan [1 ,2 ,3 ,4 ,5 ]
Mu, Shujuan [1 ,2 ,3 ,4 ,5 ]
Dong, Hongli [1 ,2 ,3 ,4 ,5 ]
机构：
[1] Northeast Petr Univ, Minist Educ, Key Lab Enhanced Oil & Gas Recovery, Daqing 163318, Peoples R China
[2] Northeast Petr Univ, Natl Key Lab Continental Shale Oil, Daqing 163318, Peoples R China
[3] Northeast Petr Univ, Artificial Intelligence Energy Res Inst, Daqing 163318, Peoples R China
[4] Northeast Petr Univ, Heilongjiang Prov Key Lab Networking & Intelligen, Daqing 163318, Peoples R China
[5] Northeast Petr Univ, Res Ctr Math & Interdisciplinary Sci, Daqing 163318, Peoples R China
来源：
2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024 | 2024年
基金：
中国国家自然科学基金;
关键词：
Complex networks; recursive state estimation; random coupling strength; random sensor saturation; weighted try-once-discard protocol; STATE ESTIMATION; SENSOR SATURATIONS; 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：
In this paper, the recursive state estimation problem is discussed for a class of nonlinear complex networks with random coupling strength (RCS) and random sensor saturation (RSS) under weighted try-once-discard protocols. The coupling strength between nodes follows a uniform distribution, and the random saturation phenomenon of sensors is described by a set of Bernoulli distribution variebles. The main purpose of this paper is to design an estimator that guarantees that the covariance of the estimation error has an upper bound when the RCS and RSS exist simultaneously, and this upper bound is minimized at each time instant. Finally, a simulation example is provided to prove the effectiveness of the proposed recursive state estimation scheme.
引用
收藏
页码：617 / 623
页数：7
相关论文
共 20 条
[1]   Recursive fusion estimation for stochastic discrete time-varying complex networks under stochastic communication protocol: The state-saturated case [J].
Alsaadi, Fawaz E. ;
Wang, Zidong ;
Wang, Dong ;
Alsaadi, Fuad E. ;
Alsaade, Fawaz W. .
INFORMATION FUSION, 2020, 60 :11-19
[2]   H∞ State Estimation for Discrete-Time Complex Networks With Randomly Occurring Sensor Saturations and Randomly Varying Sensor Delays [J].
Ding, Derui ;
Wang, Zidong ;
Shen, Bo ;
Shu, Huisheng .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 23 (05) :725-736
[3]   Recursive Minimum-Variance Filter Design for State-Saturated Complex Networks With Uncertain Coupling Strengths Subject to Deception Attacks [J].
Gao, Hongyu ;
Dong, Hongli ;
Wang, Zidong ;
Han, Fei .
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (10) :11121-11132
[4]   Resilient state estimation for time-varying uncertain dynamical networks with data packet dropouts and switching topology: an event-triggered method [J].
Gao, Ming ;
Hu, Jun ;
Chen, Dongyan ;
Jia, Chaoqing .
IET CONTROL THEORY AND APPLICATIONS, 2020, 14 (03) :367-377
[5]   Recursive Distributed Filtering for Time-Varying Systems Over Sensor Network via Rayleigh Fading Channels: Tackling Binary Measurements [J].
Han, Fei ;
Wang, Zidong ;
Dong, Hongli ;
Yi, Xiaojian ;
Alsaadi, Fuad E. .
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2023, 9 :110-122
[6]   Dissipative IT2 Fuzzy Control for Nonlinear Systems with Stochastic Occurring Sensor Saturation [J].
Hao, Xiangdong ;
Dong, Jiuxiang .
PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, :4524-4529
[7]   A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol [J].
Hou, Nan ;
Dong, Hongli ;
Wang, Zidong ;
Liu, Hongjian .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (11) :5167-5178
[8]  
Hu J, 2022, IEEE T CYBERNETICS, V52, P12071, DOI [10.1080/00206814.2021.1955019, 10.1109/TCYB.2020.3043283]
[9]   A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements [J].
Hu, Jun ;
Wang, Zidong ;
Liu, Steven ;
Gao, Huijun .
AUTOMATICA, 2016, 64 :155-162
[10]   A Dynamic Event-Triggered Approach to Recursive Filtering for Complex Networks With Switching Topologies Subject to Random Sensor Failures [J].
Li, Qi ;
Wang, Zidong ;
Li, Nan ;
Sheng, Weiguo .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (10) :4381-4388
12