Vector-valued integer optimal control with TV regularization: Optimality conditions and algorithmic treatment

We investigate a broad class of integer optimal control problems with vector-valued controls and switching regularization using a total variation functional involving the p -norm, which influences the structure of a solution. We derive optimality conditions of first and second order for the integer optimal control problem via a switching-point reformulation. For the numerical solution, we use a trust-region method utilizing Bellman’s optimality principle for the subproblems. We will show convergence properties of the method and highlight the algorithm’s efficacy on some benchmark examples.

Authors

Publication Details

Journal
ESAIM Control Optimisation and Calculus of Variations
Published
2025-01-01
DOI
https://doi.org/10.1051/cocv/2025037
Primary Topic
Advanced Control Systems Optimization
Type
article
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article

Vector-valued integer optimal control with TV regularization: Optimality conditions and algorithmic treatment

Jonas Marko, Gerd Wachsmuth
ESAIM Control Optimisation and Calculus of Variations
Advanced Control Systems Optimization
article

Vector-valued integer optimal control with TV regularization: Optimality conditions and algorithmic treatment

Jonas Marko, Gerd Wachsmuth
article en

Abstract

We investigate a broad class of integer optimal control problems with vector-valued controls and switching regularization using a total variation functional involving the p -norm, which influences the structure of a solution. We derive optimality conditions of first and second order for the integer optimal control problem via a switching-point reformulation. For the numerical solution, we use a trust-region method utilizing Bellman’s optimality principle for the subproblems. We will show convergence properties of the method and highlight the algorithm’s efficacy on some benchmark examples.

ESAIM Control Optimisation and Calculus of VariationsVol. 31
Openalex Percentile: Top 92%
Advanced Control Systems Optimization
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