Distributed reinforcement learning-based FTC for nonlinear multi-agent systems with performance guarantees

doi:10.1016/j.amc.2025.129766

Distributed reinforcement learning-based FTC for nonlinear multi-agent systems with performance guarantees

2025-10-14

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DOI：10.1016/j.amc.2025.129766

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• It’s the first attempt to address the FTC problem of nonlinear MASs from the perspective of solving N-player nonlinear differential graphical games via RL method. • This paper extends the existing results from linear MASs to nonlinear MASs. • This study obviates the need for designing local fault observers or FTDOs for each agent and adopts a critic-only network design, yielding a more simplied control structure.

Distributed reinforcement learning-based FTC for nonlinear multi-agent systems with performance guarantees

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