Exact Delay Compensation for Multi-Agent Systems
Analysis
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.
“The proposed delay compensation strategy achieves a reduction of over 200,000 infected individuals at the peak.”