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

\bibitem{asee_peer_26256}
  Rahrooh, A., \& Buchanan, W. W., \& Koeneke, R. D. L. C. (2016, June), \emph{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

Alireza Rahrooh, Walter W. Buchanan P.E., and Robert De La Coromoto Koeneke.  "Application of Micro Computer in Optimal Linearization of Nonlinear Systems".  2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016, June.  ASEE Conferences, 2016.  https://peer.asee.org/26256 Internet.  12 Dec, 2024

\bibitem{asee_peer_26256}
  Alireza Rahrooh, Walter W. Buchanan P.E., and Robert De La Coromoto Koeneke.
  "Application of Micro Computer in Optimal Linearization of Nonlinear Systems".
  \emph{2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana, 2016, June}.
  ASEE Conferences, 2016.
  https://peer.asee.org/26256 Internet.  12 Dec, 2024

@INPROCEEDINGS{asee_peer_26256
author = "Alireza Rahrooh, Walter W. Buchanan P.E., and Robert De La Coromoto Koeneke"
title = "Application of Micro Computer in Optimal Linearization of Nonlinear Systems"
booktitle = "2016 ASEE Annual Conference \& Exposition"
year = "2016"
month = "June"
address = "New Orleans, Louisiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/26256}
number = {10.18260/p.26256}
}

TY  - CPAPER
AB  - 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.
AU  - Alireza Rahrooh
AU  - Walter W. Buchanan P.E.
AU  - Robert De La Coromoto Koeneke
CY  - New Orleans, Louisiana
DA  - 2016/06/26
PB  - ASEE Conferences
TI  - Application of Micro Computer in Optimal Linearization of Nonlinear Systems
UR  - https://peer.asee.org/26256
DO  - 10.18260/p.26256
ER  -