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Xin Zhang

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#reinforcement learning Open access Sep 2026

Fast finite-time adaptive optimal algorithm for stochastic multiagent systems under deception attacks and time-varying output constraints

An adaptive optimal neural network algorithm with fast finite-time convergence is proposed for stochastic multiagent systems (SMASs) under deception attacks, time-varying asymmetric output constraints and dead zones. An additional attack signal corrupts the state information of nonlinear systems, resulting in the unava...

Xin Zhang, Junsheng Zhao, Zong‐Yao Sun et al. · 0 citations

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