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.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-06-30
DOI
https://doi.org/10.1051/cocv/2025037/pdf
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
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article

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

Springer Link (Chiba Institute of Technology)
Optimization and Variational Analysis
article

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

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.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 60%
Optimization and Variational Analysis
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Vector-valued integer optimal control with TV regularization: Optimality conditions and algorithmic treatment · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS