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.
Authors
- Shiping Wen (ORCID: https://orcid.org/0000-0001-8077-7001)
- Mouquan Shen (ORCID: https://orcid.org/0000-0003-0765-6646)
- Yuxin Jiang (ORCID: https://orcid.org/0000-0002-9797-5116)
- Song Chun Zhu
- Chaoxu Mu
Institutions
- University of Technology Sydney (AU)
- Tianjin University (CN)
- China University of Mining and Technology (CN)
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