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Mathematical Problems in Engineering
Volume 2017, Article ID 6739857, 12 pages
https://doi.org/10.1155/2017/6739857
Research Article

TMsim: An Algorithmic Tool for the Parametric and Worst-Case Simulation of Systems with Uncertainties

1Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
2Department of Information Technology, IDLab, Ghent University-IMEC, iGent Tower, Technologiepark-Zwijnaarde 15, 9052 Ghent, Belgium

Correspondence should be addressed to Riccardo Trinchero; ti.otilop@orehcnirt.odraccir

Received 3 November 2016; Accepted 8 March 2017; Published 30 March 2017

Academic Editor: J.-C. Cortés

Copyright © 2017 Riccardo Trinchero et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Riccardo Trinchero, Paolo Manfredi, and Igor S. Stievano, “TMsim: An Algorithmic Tool for the Parametric and Worst-Case Simulation of Systems with Uncertainties,” Mathematical Problems in Engineering, vol. 2017, Article ID 6739857, 12 pages, 2017. https://doi.org/10.1155/2017/6739857.