Abstract: This paper presents the bias-policy iteration, a modified adaptive dynamic programming method, to achieve optimal control design of discrete-time nonlinear systems. Firstly, the formulation ...
Abstract: A novel reinforcement learning (RL)-based model-free adaptive control (MFAC) strategy is proposed to address the consensus tracking control issue for multiagent systems subjected to data ...
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