Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 73 tok/s
Gemini 2.5 Pro 39 tok/s Pro
GPT-5 Medium 27 tok/s Pro
GPT-5 High 19 tok/s Pro
GPT-4o 115 tok/s Pro
Kimi K2 226 tok/s Pro
GPT OSS 120B 461 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

ChronoSync: A Decentralized Chronometer Synchronization Protocol for Multi-Agent Systems (2504.04347v1)

Published 6 Apr 2025 in eess.SY and cs.SY

Abstract: This work presents a decentralized time synchronization algorithm for multi-agent systems. Each agent possesses two clocks, a hardware clock that is perturbed by environmental phenomena (e.g., temperature, humidity, pressure, g forces, etc.) and a steerable software clock that inherits the perturbations affecting the hardware clock. Under these disturbances and the independent time kept by the hardware clocks, our consensus-based controller enables all agents to steer their software-defined clocks into practical synchronization while achieving a common user-defined clock drift. Furthermore, we treat the drift of each hardware clock as an unknown parameter, which our algorithm can accurately estimate. The coupling of the agents is modeled by a connected, undirected, and static graph. However, each agent possesses a timer mechanism that determines when to broadcast a sample of its software time and update its own software-time estimate. Hence, communication between agents can be directed, intermittent, and asynchronous. The closed-loop dynamics of the ensemble is modeled using a hybrid system, where a Lyapunov-based stability analysis demonstrates that a set encoding the time synchronization and clock drift estimation objectives is globally practically exponentially stable. The performance suggested by the theoretical development is confirmed in simulation.

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube