Fixed-Time Passivity and Synchronization of Spatiotemporal Networks with Multiple Weights via Boundary Control

This article focuses on fixed-time passivity and synchronization for multi-weighted spatiotemporal networks with mixed boundary condition. Firstly, a kind of boundary control scheme is developed, which is implemented on the right boundary. Subsequently, several fixed-time passivity criteria are established by making use of inequality technique and Lyapunov method. In addition, in the light of obtained fixed-time output-strict passivity result, a fixed-time synchronization criterion for the spatiotemporal networks with multiple weights is naturally gained, and the upper bound of the synchronization time is estimated based on fixed-time stability theory. Finally, a simulation example is proposed to verify the availability of the derived results.

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Published
2024-12-13
DOI
https://doi.org/10.1109/icnc64304.2024.10987662
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
0.00

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article

Fixed-Time Passivity and Synchronization of Spatiotemporal Networks with Multiple Weights via Boundary Control

Yujie Ma, Cheng Hu
Nonlinear Dynamics and Pattern Formation
article

Fixed-Time Passivity and Synchronization of Spatiotemporal Networks with Multiple Weights via Boundary Control

Yujie Ma, Cheng Hu
article en

Abstract

This article focuses on fixed-time passivity and synchronization for multi-weighted spatiotemporal networks with mixed boundary condition. Firstly, a kind of boundary control scheme is developed, which is implemented on the right boundary. Subsequently, several fixed-time passivity criteria are established by making use of inequality technique and Lyapunov method. In addition, in the light of obtained fixed-time output-strict passivity result, a fixed-time synchronization criterion for the spatiotemporal networks with multiple weights is naturally gained, and the upper bound of the synchronization time is estimated based on fixed-time stability theory. Finally, a simulation example is proposed to verify the availability of the derived results.

Xinjiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 64%
Nonlinear Dynamics and Pattern Formation
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Fixed-Time Passivity and Synchronization of Spatiotemporal Networks with Multiple Weights via Boundary Control — Yujie Ma, Cheng Hu · (2024) | TGRS Research Map | TGRS