TY - GEN
T1 - Ant colonies for temporal logic falsification of hybrid systems
AU - Singh, Yashwanth
AU - Annapureddy, Rahul
AU - Fainekos, Georgios
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78751530620&partnerID=8YFLogxK
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U2 - 10.1109/IECON.2010.5675195
DO - 10.1109/IECON.2010.5675195
M3 - Conference contribution
AN - SCOPUS:78751530620
SN - 9781424452262
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 91
EP - 96
BT - Proceedings - IECON 2010, 36th Annual Conference of the IEEE Industrial Electronics Society
T2 - 36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010
Y2 - 7 November 2010 through 10 November 2010
ER -