Sliding Mode Consensus Tracking Control for Multi-Agent Systems Under Hybrid Cyber Attacks Based on Dynamic Event-Triggered

This paper proposes a novel approach to integral sliding mode leader-following consensus tracking control for nonlinear multi-agent systems with homogeneous dynamics under hybrid cyber attacks, including deception attacks and denial-of-service (DoS) attacks. The significance of this work lies in its ability to enhance system resilience in adversarial environments while optimizing resource efficiency. To address hybrid cyber attacks, an integral sliding mode surface function is introduced, and an online estimation strategy is presented to estimate the unknown cyber attack patterns without prior knowledge. According to this, a new adaptive sliding mode controller is developed to ensure the reachability of the specified sliding surface. The convergence of multi-agent systems under the specified control strategy is analyzed by means of Lyapunov stability theory and the finite-time method. Furthermore, by introducing auxiliary variables, the dynamic and static event-triggered mechanism within a framework is considered to minimize the use of communication resources, and a strict proof analysis has the property of no Zeno behavior. Lastly, the validity of the theoretical findings is validated through two simulation examples.