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Jorge de J. Lozoya-Santos

Researcher at Monterrey Institute of Technology and Higher Education

Publications -  68
Citations -  583

Jorge de J. Lozoya-Santos is an academic researcher from Monterrey Institute of Technology and Higher Education. The author has contributed to research in topics: Damper & Computer science. The author has an hindex of 10, co-authored 55 publications receiving 314 citations. Previous affiliations of Jorge de J. Lozoya-Santos include University of Monterrey & Instituto Politécnico Nacional.

Papers
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Digital Twin Technology Challenges and Applications: A Comprehensive Review

TL;DR: This systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.
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Magnetorheological damper—an experimental study

TL;DR: In this paper, a magnetorheological damper is evaluated under exhaustive experimental scenarios, generating a complete database including classical tests and new proposals emphasizing the fringes of the damper.
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An experimental artificial-neural-network-based modeling of magneto-rheological fluid dampers

TL;DR: In this paper, a static model for a magneto-rheological (MR) damper based on artificial neural networks (ANNs) is proposed, and an intensive and experimental study is presented for designing the ANN structure.
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Control of an Automotive Semi-Active Suspension

TL;DR: In this article, two controllers for an automotive suspensions with magneto-Rheological dampers are proposed, one model-based using the Linear Parameter Varying (LPV) approach, and the other is a model-free controller with a Frequency Estimation Based (FEB) principle.