Adaptive temperature control of a reverse flow process by using reinforcement learning approach
<p>This work focuses on the design of an optimal adaptive control system for temperature regulation in a catalytic flow reversal reactor (CFRR), utilizing a reinforcement learning (RL) approach. First, a policy iteration algorithm is introduced to learn the optimal solution of the associated l...
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2024
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