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Reachable Set Estimation for Uncertain Linear Systems with Known Inputs

  • School of Astronautics, Harbin Institute of Technology
  • Harbin University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper studies reachable set estimation for systems with parameter uncertainties and known input. A new method is proposed for estimating real-time reachable sets of systems with parameter uncertainties, known input and non-zero initial condition. In order to reduce the effect of known inputs on the reachable set estimation, we propose a method by separating the uncertain systems into two subsystems: the subsystem with known input and the subsystem with parameter uncertainties. By solving the optimization problem in terms of linear matrix inequalities, real-time reachable sets are obtained. The effectiveness of the proposed method is illustrated by the simulation result of the lateral dynamic system of a vehicle.

Original languageEnglish
Pages (from-to)2445-2455
Number of pages11
JournalInternational Journal of Control, Automation and Systems
Volume18
Issue number10
DOIs
StatePublished - 1 Oct 2020
Externally publishedYes

Keywords

  • Linear matrix inequality
  • linear systems
  • parameter uncertainties
  • reachable set estimation
  • system separation

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