Fixed-Time Integral Reinforcement Learning for Saturated Nonlinear Multi-Agent Systems Under FDI Attacks
Fixed-Time Integral Reinforcement Learning for Saturated Nonlinear Multi-Agent Systems Under FDI Att
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Electrical Engineering and Systems Science > Systems and Control arXiv:2609.06163 (eess) [Submitted on 5 Sep 2026] Title: Fixed-Time Integral Reinforcement Learning for Saturated Nonlinear Multi-Agent Systems Under FDI Attacks Authors: Tien Dat Vu , Minh Doan View a PDF of the paper titled Fixed-Tim