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Certified Neural Approximation of Robust Nonlinear Model Predictive Control

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arXiv:2610.29559v1 Announce Type: new Abstract: Model predictive control is a high-performance control method, but it incurs comparatively high online computational costs across many control tasks and is challenging to realize in low-level hardware settings.

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Original headline: Certified Neural Approximation of Robust Nonlinear Model Predictive Control

Read the original: arXiv — Systems and Control (eess.SY)

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Certified Neural Approximation of Robust Nonlinear Model Predictive Control

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Related

Integrating Flow Matching and Model Predictive Control for Safe Robot Navigation

Region of Attraction Estimation for Linear Quadratic Regulator, Linear and Robust Model Predictive Control on a Two-Wheeled Inverted Pendulum

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