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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…
Spectral Boundary Observer for Counter-Flow Heat Exchangers
Mohamed Camil Belhadjoudja, Mohamed Maghenem, Emmanuel Witrant
We consider a system of two coupled first-order linear hyperbolic partial differential equations modeling heat transport in a counter-flow heat exchanger: one equation describes th…
Inverse Optimal Cardano-Lyapunov Feedback for PDEs with Convection
Mohamed Camil Belhadjoudja, Miroslav Krstic, Mohamed Maghenem +1
We consider the problem of inverse optimal control design for systems that are not affine in the control. In particular, we consider some classes of partial differential equations…
From Sontag s to Cardano-Lyapunov Formula for Systems Not Affine in the Control: Convection-Enabled PDE Stabilization
Mohamed Camil Belhadjoudja, Miroslav Krstic, Mohamed Maghenem +1
We propose the first generalization of Sontag s universal controller to systems not affine in the control, particularly, to PDEs with boundary actuation. We assume that the system…
Adaptive Boundary Control of the Kuramoto-Sivashinsky Equation Under Intermittent Sensing
Mohamed Camil Belhadjoudja, Mohamed Maghenem, Emmanuel Witrant +1
We study in this paper boundary stabilization, in the L2 sense, of the perturbed Kuramoto-Sivashinsky (KS) equation subject to intermittent sensing. We assume that we measure the s…
Convection-Enabled Boundary Control of a 2D Channel Flow
Mohamed Camil Belhadjoudja, Miroslav Krstic, Emmanuel Witrant
Nonlinear convection, the source of turbulence in fluid flows, may hold the key to stabilizing turbulence by solving a specific cubic polynomial equation. We consider the incompres…
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…