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Reachable set computation for uncertain time-varying linear systems

  • Carnegie Mellon University
  • New York University (NYU)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

88 Scopus citations

Abstract

This paper presents a method for using set-based approximations to the Peano-Baker series to compute overapproximations of reachable sets for linear systems with uncertain, time-varying parameters and inputs. Alternative representations for sets of uncertain system matrices are considered, including matrix polytopes, matrix zonotopes, and interval matrices. For each representation, the computational efficiency and resulting approximation error for reachable set computations are evaluated analytically and empirically. As an application, reachable sets are computed for a truck with hybrid dynamics due to a gain-scheduled yaw controller. As an alternative to computing reachable sets for the hybrid model, for which switching introduces an additional overapproximation error, the gain-scheduled controller is approximated with uncertain time-varying parameters, which leads to more efficient and more accurate reachable set computations.

Original languageEnglish
Title of host publicationHSCC'11 - Proceedings of the 2011 ACM/SIGBED Hybrid Systems
Subtitle of host publicationComputation and Control
Pages93-102
Number of pages10
DOIs
StatePublished - 2011
Externally publishedYes
Event14th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2011 - Chicago, IL, United States
Duration: 12 Apr 201114 Apr 2011

Publication series

NameHSCC'11 - Proceedings of the 2011 ACM/SIGBED Hybrid Systems: Computation and Control

Conference

Conference14th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2011
Country/TerritoryUnited States
CityChicago, IL
Period12/04/1114/04/11

Keywords

  • Linear systems
  • Peano-Baker series
  • Reachability analysis
  • Safety
  • Uncertain parameters

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