Model Reference Adaptive Resilient Consensus Control for Heterogeneous Multiagent Systems

Cooperative control of multi-agent systems (MASs) is essential in engineering applications. However, malicious attacks and uncertainties can drive MASs to failure. Regrettably, prior work on resilient control of MASs rarely addresses uncertainties and malicious attacks concurrently. In this article, the resilient leader–follower consensus control problem is studied for non-linear MASs with cyber-physical attacks and uncertainties, and a novel resilient model reference adaptive sliding mode control (MRASMC) strategy is proposed. The stability of the MASs is proven via the Lyapunov theory, and the effectiveness of the proposed control framework is validated by numerical simulations.