A lag consensus protocol is proposed for second-order multi-agent cyber-physical systems with noisy digital twin perceptions and input failures, establishing sufficient conditions for mean-square exponential stability of the stochastic lag error dynamics via Lyapunov-Itô analysis.
Time-varying optimal sliding-mode lag formation control for high-order nonlinear multiagent systems based on reinforcement learning
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Towards Lag Consensus with Noisy Digital Twins Perception in Second-order Multi-agent Cyber-physical Systems
A lag consensus protocol is proposed for second-order multi-agent cyber-physical systems with noisy digital twin perceptions and input failures, establishing sufficient conditions for mean-square exponential stability of the stochastic lag error dynamics via Lyapunov-Itô analysis.