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 ...
Abstract: Nonlinear regression models are essential in various fields such as system identification, data analysis, and signal processing. Despite their importance, the efficiency of robust parameter ...
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