By Topic

Linearization algorithms for computer-aided control engineering

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Taylor, J.H. ; General Electric Corporate Res. & Dev., Schenectady, NY, USA ; Antoniotti, A.J.

Numerical algorithms and heuristic logic for the accurate and robust linearization of nonlinear dynamic system models are given. The numerical algorithms deal with cases in which the system nonlinearities are differentiable (possess a Taylor series expansion), and the logic handles a variety of anomalous situations. New conventional methods and algorithms for linearization, as well as an expert system to aid the control engineer in determining linearized models for nonlinear systems, have been obtained. Included are an approach that minimizes the effects of truncation and round-off errors incurred through numerical differentiation and techniques for accurately identifying certain discontinuities in the mathematical description of a nonlinear system, as well as other problems that make linearization difficult or meaningless.<>

Published in:

Control Systems, IEEE  (Volume:13 ,  Issue: 2 )