Finite-Time Estimation for Markovian BAM Neural Networks With Asymmetrical Mode-Dependent Delays and Inconstant Measurements

被引：11
作者：
Liu, Chang [1 ]
Wang, Zhuo [2 ,3 ,4 ,5 ]
Lu, Renquan [1 ]
Huang, Tingwen [6 ]
Xu, Yong [1 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou 510006, Peoples R China
[2] Beihang Univ, Res Inst Frontier Sci, Beijing 100191, Peoples R China
[3] Beihang Univ, Key Lab, Minist Ind & Informat Technol Quantum Sensing Tec, Beijing 100191, Peoples R China
[4] Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, Peoples R China
[5] Beijing Acad Quantum Informat Sci, Beijing 100193, Peoples R China
[6] Texas A&M Univ Qatar, Dept Sci Program, Doha, Qatar
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2023年 / 34卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Artificial neural networks; Sensors; Delays; Temperature measurement; State estimation; Markov processes; Delay effects; Finite-time bounded; Markovian bidirectional associative memory neural networks (BAM NNs); state estimation; time-varying delays (TVDs); STATE ESTIMATION; SYNCHRONIZATION; SYSTEMS; STABILITY; SUBJECT;
D O I：
10.1109/TNNLS.2021.3094551
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The issue of finite-time state estimation is studied for discrete-time Markovian bidirectional associative memory neural networks. The asymmetrical system mode-dependent (SMD) time-varying delays (TVDs) are considered, which means that the interval of TVDs is SMD. Because the sensors are inevitably influenced by the measurement environments and indirectly influenced by the system mode, a Markov chain, whose transition probability matrix is SMD, is used to describe the inconstant measurement. A nonfragile estimator is designed to improve the robustness of the estimator. The stochastically finite-time bounded stability is guaranteed under certain conditions. Finally, an example is used to clarify the effectiveness of the state estimation.
引用
收藏
页码：344 / 354
页数：11
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