Abstract: This article addresses the consensus problem of a class of unknown nonlinear multiagent systems (MASs) under directed graphs via a novel model-free deep reinforcement learning (DRL) based ...
Abstract: In recent years, researchers have proposed the approximation of model predictive control (MPC) using deep neural networks (DNNs). However, a limitation arises as DNNs inherently offer one-to ...
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