Computing descent direction of MTL robustness for non-linear systems

Houssam Abbas, Georgios Fainekos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

The automatic analysis of transient properties of nonlinear dynamical systems is a challenging problem. The problem is even more challenging when complex state-space and timing requirements must be satisfied by the system. Such complex requirements can be captured by Metric Temporal Logic (MTL) specifications. The problem of finding system behaviors that do not satisfy an MTL specification is referred to as MTL falsification. This paper presents an approach for improving stochastic MTL falsification methods by performing local search in the set of initial conditions. In particular, MTL robustness quantifies how correct or wrong is a system trajectory with respect to an MTL specification. Positive values indicate satisfaction of the property while negative values indicate falsification. A stochastic falsification method attempts to minimize the system's robustness with respect to the MTL property. Given some arbitrary initial state, this paper presents a method to compute a descent direction in the set of initial conditions, such that the new system trajectory gets closer to the unsafe set of behaviors. This technique can be iterated in order to converge to a local minimum of the robustness landscape. The paper demonstrates the applicability of the method on some challenging nonlinear systems from the literature.

Original languageEnglish (US)
Title of host publication2013 American Control Conference, ACC 2013
Pages4405-4410
Number of pages6
StatePublished - Sep 11 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: Jun 17 2013Jun 19 2013

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2013 1st American Control Conference, ACC 2013
CountryUnited States
CityWashington, DC
Period6/17/136/19/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Computing descent direction of MTL robustness for non-linear systems'. Together they form a unique fingerprint.

  • Cite this

    Abbas, H., & Fainekos, G. (2013). Computing descent direction of MTL robustness for non-linear systems. In 2013 American Control Conference, ACC 2013 (pp. 4405-4410). [6580518] (Proceedings of the American Control Conference).