Exact Delay Compensation for Multi-Agent Systems
Research Paper#Multi-Agent Systems, Control Theory, Epidemic Modeling🔬 Research|Analyzed: Jan 3, 2026 08:44•
Published: Dec 31, 2025 09:07
•1 min read
•ArXivAnalysis
This paper addresses a critical challenge in multi-agent systems: communication delays. It proposes a prediction-based framework to eliminate the impact of these delays, improving synchronization and performance. The application to an SIR epidemic model highlights the practical significance of the work, demonstrating a substantial reduction in infected individuals.
Key Takeaways
- •Proposes a prediction-based framework for exact delay compensation in discrete-time heterogeneous multi-agent systems.
- •Introduces predictors and distributed observers to reconstruct future state information.
- •Develops prediction-based distributed state-feedback and dynamic output-feedback controllers.
- •Demonstrates effectiveness through numerical examples and an SIR epidemic model.
- •Achieves significant reduction in infected individuals in the SIR model, highlighting practical impact.
Reference / Citation
View Original"The proposed delay compensation strategy achieves a reduction of over 200,000 infected individuals at the peak."