Internal/Boundary Control-Based Fixed-Time Synchronization for Spatiotemporal Networks

This article is concerned about fixed-time (FT) synchronization of spatiotemporal networks (STNs) with the Robin boundary condition. Above all, a switching-type FT stability theorem and an integral inequality are established, which provide a novel theoretical tool for the rigorous analysis of FT control in STNs. Subsequently, three kinds of nontrivial power-law controllers are developed which are separately acted on the interior, the boundary, and the whole of the spatial domain. Based on these control schemes and Lyapunov-like method, several flexible criteria are obtained to achieve FT synchronization of STNs, and the upper bound of the synchronization time is explicitly estimated. Note that, the derived results here are also perfectly applicable to STNs with Neumann or Dirichlet boundary condition. Several illustrate examples are presented at final to confirm the developed controllers and criteria.

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Publication Details

Journal
IEEE Transactions on Cybernetics
Published
2024-08-13
DOI
https://doi.org/10.1109/tcyb.2024.3430855
Citations
12
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
4.19

Funders

Controls
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article

Internal/Boundary Control-Based Fixed-Time Synchronization for Spatiotemporal Networks

Tingting Shi, Cheng Hu, Tingwen Huang, Quanxin Zhu et al.
12 citations
IEEE Transactions on Cybernetics
Neural Networks Stability and Synchronization
4.19
article

Internal/Boundary Control-Based Fixed-Time Synchronization for Spatiotemporal Networks

Tingting Shi, Cheng Hu, Tingwen Huang, Quanxin Zhu, Juan Yu
article en
12 citations

Abstract

This article is concerned about fixed-time (FT) synchronization of spatiotemporal networks (STNs) with the Robin boundary condition. Above all, a switching-type FT stability theorem and an integral inequality are established, which provide a novel theoretical tool for the rigorous analysis of FT control in STNs. Subsequently, three kinds of nontrivial power-law controllers are developed which are separately acted on the interior, the boundary, and the whole of the spatial domain. Based on these control schemes and Lyapunov-like method, several flexible criteria are obtained to achieve FT synchronization of STNs, and the upper bound of the synchronization time is explicitly estimated. Note that, the derived results here are also perfectly applicable to STNs with Neumann or Dirichlet boundary condition. Several illustrate examples are presented at final to confirm the developed controllers and criteria.

IEEE Transactions on CyberneticsVol. 54(11)
Hunan Normal University (CN), Texas A&M University at Qatar (QA), Xinjiang University (CN)
National Natural Science Foundation of China, Science Research Foundation of Xijing University
Openalex Percentile: Top 5%
Neural Networks Stability and Synchronization
4.19
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Internal/Boundary Control-Based Fixed-Time Synchronization for Spatiotemporal Networks — Tingting Shi, Cheng Hu, et al. · IEEE Transactions on Cybernetics (2024) | TGRS Research Map | TGRS