In today's highly combative industrial landscape, boosting equipment uptime and operational efficiency is paramount for maintaining a combative edge. Electric motors, being the toiler of industrial ...
Abstract: This paper presents a constrained reinforcement learning (RL) framework for training a controller for nonlinear systems with guaranteed finite-time stability. The scheme is based on the deep ...
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