New digital twins protocol ensures lag consensus in noisy multi-agent systems
A lag consensus protocol handles random noise and input failures in cyber-physical networks.
Deep Dive
A lag consensus protocol is proposed for second-order multi-agent cyber-physical systems with noisy digital twin perception. Sufficient conditions for mean-square exponential stability are established via Lyapunov analysis using the Itô formula, ensuring robustness to random perturbations and intermittent input failures. Numerical examples illustrate effectiveness. The work is accepted by IFAC WC 26.
Key Points
- Addresses second-order lag consensus with noisy digital twin perceptions in cyber-physical systems.
- Uses Lyapunov analysis and the Itô formula to prove mean-square exponential stability under random noise and input failures.
- Accepted at the IFAC World Congress 2026, a leading venue for control systems research.
Why It Matters
Enables resilient coordination of autonomous agents in noisy, failure-prone environments—critical for real-world swarms and smart infrastructure.