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math.OC2025
Physics-informed Gaussian Processes for Model Predictive Control of Nonlinear Systems
Adrian Lepp, Jörn Tebbe, Andreas Besginow
Recently, a novel linear model predictive control algorithm based on a physics-informed Gaussian Process has been introduced, whose realizations strictly follow a system of underly…
math.OC2025
Linear ordinary differential equations constrained Gaussian Processes for solving optimal control problems
Andreas Besginow, Markus Lange-Hegermann, Jörn Tebbe
This paper presents an intrinsic approach for addressing control problems with systems governed by linear ordinary differential equations (ODEs). We use computer algebra to constra…