Event-Triggered H∞ Filtering for Markovian Jump Neural Networks under Random Missing Measurements and Deception Attacks
Joint Authors
Wang, Jiaqi
Tan, Tian
Ma, Miao
Wang, Jinxia
Gao, Jinfeng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-29
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
This paper concentrates on the event-triggered H∞ filter design for the discrete-time Markovian jump neural networks under random missing measurements and cyber attacks.
Considering that the controlled system and the filtering can exchange information over a shared communication network which is vulnerable to the cyber attacks and has limited bandwidth, the event-triggered mechanism is proposed to relieve the communication burden of data transmission.
A variable conforming to Bernoulli distribution is exploited to describe the stochastic phenomenon since the missing measurements occur with random probability.
Furthermore, seeing that the communication networks are vulnerable to external malicious attacks, the transferred information via the shared communication network may be changed by the injected false information from the attackers.
Based on the above consideration, sufficient conditions for the filtering error system to maintain asymptotically stable are provided with predefined H∞ performance.
In the end, three numerical examples are given to verify the proposed theoretical results.
American Psychological Association (APA)
Wang, Jinxia& Gao, Jinfeng& Tan, Tian& Wang, Jiaqi& Ma, Miao. 2020. Event-Triggered H∞ Filtering for Markovian Jump Neural Networks under Random Missing Measurements and Deception Attacks. Complexity،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1141814
Modern Language Association (MLA)
Wang, Jinxia…[et al.]. Event-Triggered H∞ Filtering for Markovian Jump Neural Networks under Random Missing Measurements and Deception Attacks. Complexity No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1141814
American Medical Association (AMA)
Wang, Jinxia& Gao, Jinfeng& Tan, Tian& Wang, Jiaqi& Ma, Miao. Event-Triggered H∞ Filtering for Markovian Jump Neural Networks under Random Missing Measurements and Deception Attacks. Complexity. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1141814
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141814