Prediction Comparisons Between Non Linear And Linear Models For Dynamics Enhanced Education | Zendy

Arnaldo Mazzei | Zendy; R. K. Scott | Zendy

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Prediction Comparisons Between Non Linear And Linear Models For Dynamics Enhanced Education

Author(s) -

Arnaldo Mazzei,

R. K. Scott

Publication year - 2020

Language(s) - English

Resource type - Conference proceedings

DOI - 10.18260/1-2--15739

Subject(s) - computer science , linear model , software , ordinary differential equation , work (physics) , differential equation , motion (physics) , equations of motion , mathematics , artificial intelligence , mechanical engineering , machine learning , physics , mathematical analysis , classical mechanics , engineering , programming language

Arnaldo Mazzei, Kettering University ARNALDO MAZZEI is an Associate Professor of Mechanical Engineering at Kettering University. He received his Ph.D. in Mechanical Engineering from the University of Michigan in 1998. He specializes in dynamics and vibrations of mechanical systems and stability of drivetrains with universal joints. His current work relates to modal analysis, stability of drivetrains, finite element analysis and CAE. He is a member of ASME, ASEE and SEM.

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