The paradigm of complex probability and analytic nonlinear prognostic for vehicle suspension systems-Reference-Cited by-同舟云学术

The paradigm of complex probability and analytic nonlinear prognostic for vehicle suspension systems

Published:2016-01-01 Issue:1 Volume:4 Page:334-378
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Abou Jaoude Abdo¹

Affiliation:

1. Department of Mathematics and Statistics, Faculty of Natural and Applied Sciences, Notre Dame University-Louaize, Zouk Mosbeh, Lebanon

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2016.1251860

Reference102 articles.

1. Abou Jaoude, A. (2004). Applied mathematics: Numerical methods and algorithms for applied mathematicians (Ph.D. thesis). Bircham International University. Retrieved from http://www.bircham.edu

2. Abou Jaoude, A. (2005). Computer science: Computer simulation of Monte Carlo methods and random phenomena (Ph.D. thesis). Bircham International University. Retrieved from http://www.bircham.edu

3. Abou Jaoude, A. (2007). Applied statistics and probability: Analysis and algorithms for the statistical and stochastic paradigm (Ph.D. thesis). Bircham International University. Retrieved from http://www.bircham.edu

4. Abou Jaoude, A. (2012). Advanced analytical model for the prognostic of industrial systems subject to fatigue (Ph.D. thesis). Aix-Marseille Université and the Lebanese University, defended on December 7.

5. Abou Jaoude, A. (2013a). Automatic control and prognostic (chap. 3, pp. 115–152). Saarbrucken: Scholars’ Press.

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