By Topic

Identification of quadratic in-the-state system using nonlinear programming

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)
Suleiman, W. ; CNRS, Toulouse ; Monin, A.

The identification of the quadratic in-the-state systems (QSS) is the objective of this paper. This class, on its own, enjoys a useful model for many nonlinear dynamic systems. Moreover, it represents a bilinear system in a feedback loop. In order to identify QSS, we propose to minimize the output error with respect to the system's parameters using a local gradient search. In order to reduce the amount of gradient search to the minimal value, we propose an efficient implementation of the algorithm by projecting out the directions that do not change the output error function. Furthermore, we extend the proposed method to deal with multiple short experiments.

Published in:

Control & Automation, 2007. MED '07. Mediterranean Conference on

Date of Conference:

27-29 June 2007