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Pol Mestres

University of California, San Diego

19 papers hereh-index 7233 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author13
  • middle author6

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • math.OC13
  • eess.SY5
  • cs.RO1
affiliations
  • University of California, San Diego
same name
  • Pol Mestres — 13 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedRegularity Properties of Optimization-Based Controllers

2 citations · 3 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

math.OC2023

Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers

Pol Mestres, Kehan Long, Nikolay Atanasov +1

This paper studies the well-posedness and regularity of safe stabilizing optimization-based controllers for control-affine systems in the presence of model uncertainty. When the sy…

math.OC2023★ 2 cited

Regularity Properties of Optimization-Based Controllers

Pol Mestres, Ahmed Allibhoy, Jorge Cortés

This paper studies regularity properties of optimization-based controllers, which are obtained by solving optimization problems where the parameter is the system state and the opti…

math.OC2023

Distributed and Anytime Algorithm for Network Optimization Problems with Separable Structure

Pol Mestres, Jorge Cortés

This paper considers the problem of designing a dynamical system to solve constrained optimization problems in a distributed way and in an anytime fashion (i.e., such that the feas…

math.OC2023

Feasibility and Regularity Analysis of Safe Stabilizing Controllers under Uncertainty

Pol Mestres, Jorge Cortés

This paper studies the problem of safe stabilization of control-affine systems under uncertainty. Our starting point is the availability of worst-case or probabilistic error descri…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.