Stochastic optimal control for hybrid systems with uncertain discrete dynamics

Franziska Adamek, Marion Sobotka, Olaf Stursberg

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

9 Scopus citations

Abstract

This paper considers the task of computing (sub-) optimal continuous and discrete control trajectories for hybrid systems with a probabilistic discrete transition structure. The discrete inputs are used to block undesired transitions and to realize evolutions that are goal-attaining with high probability. An approach is proposed which combines the computation of discrete shortest-paths for given probability-levels with embedded continuous optimal control problems to fix the continuous controls. The result is a control strategy which leads to a system evolution that maximizes a weighted sum of performance and probability of success. The approach is illustrated for an automated transportation scenario.

Original languageEnglish
Title of host publication4th IEEE Conference on Automation Science and Engineering, CASE 2008
Pages23-28
Number of pages6
DOIs
StatePublished - 2008
Event4th IEEE Conference on Automation Science and Engineering, CASE 2008 - Washington, DC, United States
Duration: 23 Aug 200826 Aug 2008

Publication series

Name4th IEEE Conference on Automation Science and Engineering, CASE 2008

Conference

Conference4th IEEE Conference on Automation Science and Engineering, CASE 2008
Country/TerritoryUnited States
CityWashington, DC
Period23/08/0826/08/08

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