In this paper a review of the results on sparse controls for partial differential equations is presented. There are two different approaches to the sparsity study of control problems. One …
We introduce the concept of mean-field optimal control which is the rigorous limit process connecting finite dimensional optimal control problems with ODE constraints modeling multi …
Starting with the seminal papers of Reynolds (1987), Vicsek et al.(1995), Cucker–Smale (2007), there has been a lot of recent works on models of self-alignment and consensus …
We introduce the rigorous limit process connecting finite dimensional sparse optimal control problems with ODE constraints, modelling parsimonious interventions on the dynamics of a …
This article is mainly based on the work [7], and it is dedicated to the 60th anniversary of B. Bonnard, held in Dijon in June 2012. We focus on a controlled Cucker--Smale model in finite …
E Casas, C Clason, K Kunisch - SIAM Journal on Control and Optimization, 2013 - SIAM
Optimal control problems in measure spaces lead to controls that have small support, which is desirable, eg, in the context of optimal actuator placement. For problems governed by …
A directional sparsity framework allowing for measure valued controls in the spatial direction is proposed for parabolic optimal control problems. It allows for controls which are localized …
E Casas, R Herzog, G Wachsmuth - ESAIM: Control, Optimisation and …, 2017 - numdam.org
Optimal control problems with semilinear parabolic state equations are considered. The objective features one out of three different terms promoting various spatio-temporal sparsity …
Many applications require minimizing the sum of smooth and nonsmooth functions. For example, basis pursuit denoising problems in data science require minimizing a measure of …