Abstract: This article proposes a novel Q-learning algorithm that relies solely on input-output data to address the output regulation control problem of complex discrete-time systems affected by ...
Abstract: This article focuses on fuzzy structural adaptive optimal control issue of discrete-time nonlinear complex networks (CNs) via adopting the reinforcement learning (RL) and Takagi–Sugeno fuzzy ...
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