Ant colonies for temporal logic falsification of hybrid systems

Yashwanth Singh, Rahul Annapureddy, Georgios Fainekos

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

21 Scopus citations

Abstract

The Extended Ant Colony Optimization (EACO) metaheuristic is applied to the problem of Metric Temporal Logic (MTL) falsification of nonautonomous hybrid systems. The goal of the MTL falsification problem is to detect operating conditions and input signals that will generate system trajectories that do not satisfy a user provided specification in MTL. A new method for parameterizing the input space using splines and Hermitian polynomials is introduced and the performance of the new algorithm is compared against Monte Carlo testing techniques. It is envisioned that this work will help practitioners in designing complex control or mixed-signal systems.

Original languageEnglish (US)
Title of host publicationProceedings - IECON 2010, 36th Annual Conference of the IEEE Industrial Electronics Society
Pages91-96
Number of pages6
DOIs
StatePublished - 2010
Event36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010 - Glendale, AZ, United States
Duration: Nov 7 2010Nov 10 2010

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

Other36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010
CountryUnited States
CityGlendale, AZ
Period11/7/1011/10/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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