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Application of Micro Computer in Optimal Linearization of Nonlinear Systems

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2016 ASEE Annual Conference & Exposition


New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016





Conference Session

Graduate Studies Division Poster Session

Tagged Division

Graduate Studies

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Paper Authors


Alireza Rahrooh Daytona State College

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Alireza Rahrooh received B.S., M.S., and Ph.D. degrees in electrical engineering from University of Akron, Ohio in 1979, 1986, and 1990, respectively. He worked as an Electronic Engineer from 1979 to 1984. He was involved in conducting research for the Electrical Power Institute and NASA Lewis Research Center from 1984 to 1998. He was appointed to a faculty position in Electrical Engineering at Penn State University in 1988. In 1994, he joined the faculty of Engineering Technology at UCF till August of 2010 when he moved to Daytona State College. He has presented numerous papers at various conferences, is the author of more than 100 technical articles and recipient of 30 awards. His research interests include simulation, nonlinear dynamics, system identification and adaptive control. He is a member of ASEE, IEEE, Eta Kappa Nu, and Tau Beta Pi.

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Walter W. Buchanan P.E. Texas A&M University

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Walter W. Buchanan is a Professor at Texas A&M University. He is a Fellow and served on the Board of Directors of both ASEE and NSPE, is a past president of ASEE and the Massachusetts Society of Professional Engineers, and is a registered P.E. in six states. He is a past member of the Executive Committee of ETAC of ABET and is on the editorial board of the Journal of Engineering Technology.

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Robert De La Coromoto Koeneke Daytona State College

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Robert Koeneke is an Associate Professor of Electrical Engineering Technology at Daytona State College. He received his B.S. in Electronics Engineering from Universidad Simon Bolivar in 1977 and his M.S. in Computer Science from Santa Clara University in 1982. His 34 years of professional career covers: teaching at undergraduate and graduate level, planning, developing and managing project in the areas of Telecommunications and Information Systems. His research interest includes embedded systems, digital programmable devices and computer communications. He is a member of IEEE, ASEE and ACM.

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Session Choices: 1. Inspiring under-graduate students to pursue graduate degrees/research 2. Innovative graduate programs and methods 3. Graduate student recruitment

ABSTRACT Application of Micro Computer in optimal Linearization of Nonlinear Systems This paper presents a computer-assisted method to generate accurate linear models of nonlinear systems with reduced biasing errors. The technique, which is based on finite difference methods, approximates partial derivatives of Taylor series expansion of the nonlinear state equations about a nominal operating point or trajectories. The matrices of the linear state-space representation of the nonlinear system can be determined using personal computer. It can be shown that positive and negative perturbations in the system inputs can result in a more accurate linear model. The advantages of this approach are illustrated and discussed. The proposed techniques will be useful in motivating students to pursue a graduate degree in institutions where the limited budget will not allow purchasing costly modeling/simulation packages and software.

Rahrooh, A., & Buchanan, W. W., & Koeneke, R. D. L. C. (2016, June), Application of Micro Computer in Optimal Linearization of Nonlinear Systems Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26256

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