A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Joshi, Anant A., Mowlavi, Saviz, Benosman, Mouhacine
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866911130173046784
author Joshi, Anant A.
Mowlavi, Saviz
Benosman, Mouhacine
author_facet Joshi, Anant A.
Mowlavi, Saviz
Benosman, Mouhacine
contents This paper considers the problem of data-driven robust control design for nonlinear systems, for instance, obtained when discretizing nonlinear partial differential equations (PDEs). A robust learning control approach is developed for nonlinear affine in control systems based on Lyapunov redesign technique. The robust control is developed as a sum of an optimal learning control which stabilizes the system in absence of disturbances, and an additive Lyapunov-based robustification term which handles the effects of disturbances. The dual ensemble Kalman filter (dual EnKF) algorithm is utilized in the optimal control design methodology. A simulation study is done on the heat equation and Burgers partial differential equation.
format Preprint
id arxiv_https___arxiv_org_abs_2508_21684
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations
Joshi, Anant A.
Mowlavi, Saviz
Benosman, Mouhacine
Optimization and Control
Systems and Control
This paper considers the problem of data-driven robust control design for nonlinear systems, for instance, obtained when discretizing nonlinear partial differential equations (PDEs). A robust learning control approach is developed for nonlinear affine in control systems based on Lyapunov redesign technique. The robust control is developed as a sum of an optimal learning control which stabilizes the system in absence of disturbances, and an additive Lyapunov-based robustification term which handles the effects of disturbances. The dual ensemble Kalman filter (dual EnKF) algorithm is utilized in the optimal control design methodology. A simulation study is done on the heat equation and Burgers partial differential equation.
title A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2508.21684