Model-based gas source localization strategy for a cooperative multi-robot system—A probabilistic approach and experimental validation incorporating physical …
Sampling gas distributions by robotic platforms in order to find gas sources is an appealing
approach to alleviate threats for a human operator. Different sampling strategies for robotic …
approach to alleviate threats for a human operator. Different sampling strategies for robotic …
A priori error analysis for finite element approximation of parabolic optimal control problems with pointwise control
We consider finite element approximations of parabolic control problems with pointwise
control. The state equation exhibits low regularity due to the control imposed pointwisely; …
control. The state equation exhibits low regularity due to the control imposed pointwisely; …
Optimal a priori error estimates of parabolic optimal control problems with pointwise control
D Leykekhman, B Vexler - SIAM Journal on Numerical Analysis, 2013 - SIAM
In this paper we consider a parabolic optimal control problem with a pointwise (Dirac type)
control in space, but variable in time, in two space dimensions. To approximate the problem …
control in space, but variable in time, in two space dimensions. To approximate the problem …
Multi-agent exploration of spatial dynamical processes under sparsity constraints
T Wiedemann, C Manss, D Shutin - Autonomous Agents and Multi-Agent …, 2018 - Springer
This paper addresses the development of an efficient information gathering and exploration
strategy for robotic missions when a high level of autonomy is expected. A multi-agent …
strategy for robotic missions when a high level of autonomy is expected. A multi-agent …
Discontinuous Galerkin approximations to elliptic and parabolic problems with a Dirac line source
The analyses of interior penalty discontinuous Galerkin methods of any order k for solving
elliptic and parabolic problems with Dirac line sources are presented. For the steady state …
elliptic and parabolic problems with Dirac line sources are presented. For the steady state …
Some applications of weighted norm inequalities to the error analysis of PDE-constrained optimization problems
The purpose of this work is to illustrate how the theory of Muckenhoupt weights,
Muckenhoupt-weighted Sobolev spaces and the corresponding weighted norm inequalities …
Muckenhoupt-weighted Sobolev spaces and the corresponding weighted norm inequalities …
Finite element approximations of parabolic optimal control problems with controls acting on a lower dimensional manifold
W Gong, N Yan - SIAM Journal on Numerical Analysis, 2016 - SIAM
This paper is devoted to the study of finite element approximations to parabolic optimal
control problems with controls acting on a lower dimensional manifold. The manifold can be …
control problems with controls acting on a lower dimensional manifold. The manifold can be …
A priori error estimates for three dimensional parabolic optimal control problems with pointwise control
D Leykekhman, B Vexler - SIAM Journal on Control and Optimization, 2016 - SIAM
In this paper we provide an a priori error analysis for parabolic optimal control problems with
a pointwise (Dirac-type) control in space on three-dimensional domains. The two …
a pointwise (Dirac-type) control in space on three-dimensional domains. The two …
Analysis and approximation to parabolic optimal control problems with measure-valued controls in time
W Gong, D Liang - ESAIM: Control, Optimisation and Calculus of …, 2025 - esaim-cocv.org
In this paper, we investigate an optimal control problem governed by parabolic equations
with measure-valued controls over time. We establish the well-posedness of the optimal …
with measure-valued controls over time. We establish the well-posedness of the optimal …
Maximal discrete sparsity in parabolic optimal control with measures
We consider variational discretization of a parabolic optimal control problem governed by
space-time measure controls. For the state discretization we use a Petrov-Galerkin method …
space-time measure controls. For the state discretization we use a Petrov-Galerkin method …