Abstract: To accurately compensate for system uncertainties and unknown external disturbances, this paper proposes an extended observer-based integral fast terminal sliding mode control (IFTSMC) ...
Abstract: Meta-reinforcement learning is a cutting-edge approach that facilitates swift and adaptable responses to new tasks in dynamic environments with significant resource limitations. Utilizing ...
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