Abstract: This paper explores the utilization of machine learning techniques to develop an approximate input-output linearizable neural network model aimed at improving disturbance attenuation. The ...
Abstract: In this article, a neural network intelligent optimal attitude tracking control for rigid spacecraft using critic-actor reinforcement learning design is developed. Reinforcement learning of ...
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