New Orleans, Louisiana
June 26, 2016
June 26, 2016
August 28, 2016
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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