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A Dual-Network Optimized Control Framework for Predefined-Time Secure Backstepping of Nonlinear Multiagent Systems
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DOI：10.1109/tii.2026.3687269.png)
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Abstract
En 中文
This article investigates a predefined-time optimized consensus secure control problem for nonlinear multiagent systems, where the leader to follower and follower to neighbor agent network communication are subjected to deferred denial-of-service (DoS) attacks. To observe the leader's state and mitigate the adverse effects of DoS attacks on the system, a switching consensus leader observer is designed. Through the synergistic use of backstepping control, predefined-time control theory, and adaptive dynamic programming, a Hamilton–Jacobi–Bellman equation is constructed for each subsystem to ensure the optimal control performance of the overall system. The identifier neural network is incorporated to approximate the unknown uncertainties existing in the system. Through the construction of the critic network, the proposed controller satisfies the Bellman optimality principle, from which the optimal controller of the system is derived. By employing the Lyapunov stability theorem, it is proven that all system signals remain bounded within the predefined time interval, and the followers' outputs ultimately synchronize with the leader's state. Finally, simulation studies are conducted to validate the feasibility and effectiveness of the proposed control scheme.
Keywords:
Denial-of-service (DoS) attack
nonlinear multiagent systems (MAS)
optimal control
predefined-time control
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