Aperiodically Intermittent Control Approach to Finite-Time Synchronization of Delayed Inertial Memristive Neural Networks

This article investigates the finite-time synchronization (FTS) for inertial memristive neural networks (IMNNs) with time-delays by the aperiodically intermittent control approach. Compared with the reduced-order method utilized in the existing literature, this article considers the FTS of delayed IMNNs directly without order reduction. First, the error IMNNs with time-delays is designed through the theories of set-valued mappings and differential inclusions, and its finite-time stability problem is discussed by applying the finite-time stability theorem. Furthermore, by constructing nonperiodic intermittent state-feedback controller and nonperiodic intermittent adaptive control strategy, the sufficient criteria to ensure the FTS of the master–slave delayed IMNNs are derived, and the settling times are explicitly estimated. Finally, a simulation to confirm the availability of results is provided.

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Publication Details

Journal
IEEE Transactions on Artificial Intelligence
Published
2024-11-28
DOI
https://doi.org/10.1109/tai.2024.3507740
Citations
7
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
2.44
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article

Aperiodically Intermittent Control Approach to Finite-Time Synchronization of Delayed Inertial Memristive Neural Networks

Shiping Wen, Mouquan Shen, Yuxin Jiang, Song Chun Zhu et al.
7 citations
IEEE Transactions on Artificial Intelligence
Neural Networks Stability and Synchronization
2.44
article

Aperiodically Intermittent Control Approach to Finite-Time Synchronization of Delayed Inertial Memristive Neural Networks

Shiping Wen, Mouquan Shen, Yuxin Jiang, Song Chun Zhu, Chaoxu Mu
article en
7 citations

Abstract

This article investigates the finite-time synchronization (FTS) for inertial memristive neural networks (IMNNs) with time-delays by the aperiodically intermittent control approach. Compared with the reduced-order method utilized in the existing literature, this article considers the FTS of delayed IMNNs directly without order reduction. First, the error IMNNs with time-delays is designed through the theories of set-valued mappings and differential inclusions, and its finite-time stability problem is discussed by applying the finite-time stability theorem. Furthermore, by constructing nonperiodic intermittent state-feedback controller and nonperiodic intermittent adaptive control strategy, the sufficient criteria to ensure the FTS of the master–slave delayed IMNNs are derived, and the settling times are explicitly estimated. Finally, a simulation to confirm the availability of results is provided.

IEEE Transactions on Artificial IntelligenceVol. 6(4)
University of Technology Sydney (AU), Tianjin University (CN), China University of Mining and Technology (CN)
Openalex Percentile: Top 10%
Neural Networks Stability and Synchronization
2.44
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