This paper presents a novel consensus control framework for nonlinear fractional-order multi-agent systems (MAS) operating under Denial-of-Service (DoS) attacks. The proposed approach addresses the challenges posed by time-varying uncertainties and adversarial disruptions in communication networks. A distributed control strategy is developed for agents with Caputo-type fractional-order dynamics, incorporating memory effects and bounded uncertainties. Stability is analyzed using fractional-order Lyapunov methods and a generalized Gronwall-Bellman lemma, leading to sufficient conditions for asymptotic stability under DoS attacks. Furthermore, a controller synthesis based on Linear Matrix Inequalities (LMI) is proposed, enabling robust consensus and supporting a mechanism for detecting DoS attacks within the framework of the algorithm presented. Simulation results indicate the proposed method’s effectiveness in achieving resilient consensus, even under extreme attack conditions. The findings highlight the robustness and scalability of the framework, making it suitable for cooperative applications.
Fiuzy et al. (Wed,) studied this question.
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