A Semidefinite Programming Approach to Control Synthesis for Stochastic Reach-Avoid Problems


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Date

2017

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

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Abstract

We propose a computational approach to approximate the value function and control policies for a finite horizon stochastic reach-avoid problem as follows. First, we formulate an infinite dimensional linear program whose solution characterizes the optimal value function of the stochastic reach-avoid. Next, we introduce sum-of-squares polynomials to approximate the solution of this linear program through a semidefinite program. We compare our proposed tool to alternative numerical approaches via several case studies.

Publication status

published

Book title

ARCH16. 3rd International Workshop on Applied Verification for Continuous and Hybrid Systems

Volume

44

Pages / Article No.

134 - 143

Publisher

EasyChair

Event

3rd International Workshop on Applied Verification for Continuous and Hybrid Sytems, ARCH16

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Organisational unit

09578 - Kamgarpour, Maryam (ehemalig) / Kamgarpour, Maryam (former) check_circle
03751 - Lygeros, John / Lygeros, John check_circle

Notes

Funding

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