Resilient Containment Control of Stochastic Multiagent Systems Under Deception Attacks: An Event-Triggered Impulsive Framework

Abstract

This paper addresses the secure containment control problem for stochastic multi-agent systems (SMASs) under the threat of malicious deception attacks, environmental noise, and system uncertainties. A resilient event-triggered impulsive control (ETIC) protocol is established to counteract these adverse effects while significantly optimizing communication resource utilization. By utilizing Lyapunov stability theory and Linear Matrix Inequality (LMI) techniques, we derive novel sufficient conditions that ensure the stability and precise containment of the multi-agent network. Furthermore, the underlying event-triggering mechanism is theoretically verified to be free of Zeno behavior, making it viable for practical engineering applications. Finally, the effectiveness and communication efficiency of the developed ETIC framework are illustrated via two numerical simulation examples.