Fault-tolerant synchronization of drive-response memristive competitive neural networks with multiple actuator failures
Duan, Wenjing and Huang, Yanli and Le, Quang Dan and Wong, Tse Chiu (2025) Fault-tolerant synchronization of drive-response memristive competitive neural networks with multiple actuator failures. Neurocomputing, 657. 131489. ISSN 0925-2312 (https://doi.org/10.1016/j.neucom.2025.131489)
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Abstract
In this article, the synchronization of drive-response memristive competitive neural networks (MCNNs) under multiple actuator failures is studied through implementing fault-tolerant control scheme. Unlike previous studies, the actuator failures considered in this paper include both bias and effectiveness failures. To address these challenges, a proper mathematical model is first established to capture the impact of actuator failures on control inputs. Subsequently, several sufficient conditions are deduced by designing an appropriate bilayer fault-tolerant controller and constructing a Lyapunov functional to achieve the global exponential synchronization, finite-time synchronization, fixed-time synchronization and predefined-time synchronization respectively. Additionally, the settling time upper bounds for the proposed synchronization methods are determined. In the end, numerical simulations with analysis and comparison are performed to confirm the validity of the proposed results.
ORCID iDs
Duan, Wenjing, Huang, Yanli, Le, Quang Dan and Wong, Tse Chiu
ORCID: https://orcid.org/0000-0001-8942-1984;
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Item type: Article ID code: 94304 Dates: DateEvent7 December 2025Published17 September 2025Published Online6 September 2025Accepted15 June 2025SubmittedSubjects: Science > Mathematics > Electronic computers. Computer science > Other topics, A-Z > Human-computer interaction Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 30 Sep 2025 14:03 Last modified: 29 Jan 2026 20:26 URI: https://strathprints.strath.ac.uk/id/eprint/94304
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