Pattern-preserving optimal control problems with increasing time horizon

We establish a general framework that guarantees the preservation of optimal control patterns as the time horizon [0, T ] increases and becomes unbounded. A concept of pattern-preserving family of optimal control problems is introduced and the goal is achieved by analyzing the Γ-convergence of the corresponding variational formulations as T → ∞. Special attention is given to scenarios involving state constraints. To illustrate the results, examples and applications are provided, with particular focus on switched systems and epidemic control.

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Publication Details

Journal
ESAIM Control Optimisation and Calculus of Variations
Published
2025-01-01
DOI
https://doi.org/10.1051/cocv/2025088
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Pattern-preserving optimal control problems with increasing time horizon

Matteo Della Rossa, Lorenzo Freddi
ESAIM Control Optimisation and Calculus of Variations
Advanced Control Systems Optimization
article

Pattern-preserving optimal control problems with increasing time horizon

Matteo Della Rossa, Lorenzo Freddi
article en

Abstract

We establish a general framework that guarantees the preservation of optimal control patterns as the time horizon [0, T ] increases and becomes unbounded. A concept of pattern-preserving family of optimal control problems is introduced and the goal is achieved by analyzing the Γ-convergence of the corresponding variational formulations as T → ∞. Special attention is given to scenarios involving state constraints. To illustrate the results, examples and applications are provided, with particular focus on switched systems and epidemic control.

ESAIM Control Optimisation and Calculus of VariationsVol. 31
University of Udine (IT), Politecnico di Torino (IT)
Istituto Nazionale di Alta Matematica "Francesco Severi"
Openalex Percentile: Top 59%
Advanced Control Systems Optimization
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