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eess.SY2026
Physics-informed neural control of heat flow rate in a counter-flow heat exchanger: modeling, identification and experimental validation
Konstantinos Skantzikas, Emmanuel Witrant, Bojan Mavkov
The advanced operation of heat exchangers plays a critical role in the development of efficient and sustainable multivector energy systems. This paper proposes a hybrid physics-inf…
eess.SY2024
Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark
Paul Daoudi, Bojan Mavkov, Bogdan Robu +4
This paper presents a learning-based control strategy for non-linear throttle valves with an asymmetric hysteresis, leading to a near-optimal controller without requiring any prior…