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arXiv · 2509.07703

Prescribed-Time Event-Triggered Control for Matrix-Scaled Networks

K. P. Sunny·Rakesh R. Warier
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Abstract

This article proposes a distributed control method for matrix-scaled multi-agent networks aimed at achieving convergence within a user-defined time frame. The control law of each individual agent relies only on information from neighboring agents and is updated at discrete intervals determined by state-dependent triggering functions, reducing the frequency of agent interactions. To this end, first, the controller is augmented with a time-varying gain. Then, the dynamics of the closed-loop system over the finite-time interval is transformed into an infinite-time frame using time scaling. Lyapunov-based analysis is employed to derive suitable triggering conditions that guarantee the asymptotic convergence of the time-transformed system, thereby ensuring the prescribed-time convergence of the original system.

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BibTeXRIS

K. P. Sunny, Rakesh R. Warier. 2025-09-22. Prescribed-Time Event-Triggered Control for Matrix-Scaled Networks. https://arxiv.org/abs/2509.07703

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