Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. Joint Chance Constrained Optimal Control via Linear Programming
Details

Joint Chance Constrained Optimal Control via Linear Programming

Journal
IEEE Control Systems Letters
ISSN-Digital
2475-1456
Type
journal article
Date Issued
2024
Author(s)
Niklas Schmid
;
Marta Fochesato
;
Tobias Sutter  
;
John Lygeros
DOI
10.1109/LCSYS.2024.3403470
Abstract
We establish a linear programming formulation for the solution of joint chance constrained optimal control problems over finite time horizons. The joint chance constraint may represent an invariance, reachability or reach-avoid specification that the trajectory must satisfy with a predefined probability. For finite state and action spaces, the solution is exact and our method computationally superior to approaches in the literature. For continuous state or action spaces, our linear programming formulation enables basis function approximations.
Volume
8
Start page
736
End page
741
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/123580
Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify