By Topic

Nonlinear modeling of uncertain dynamical systems using fuzzy set concepts

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

1 Author(s)
Ben Ghalia, M. ; Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA

In this paper we propose a new modeling approach for uncertain nonlinear dynamical systems using fuzzy set theory. The main idea of the proposed modeling approach is to interpret an uncertain dynamical system as a dynamic fuzzy system and provide its fuzzy model. The latter is described by a new fuzzy differential equation. Procedures to take into account system uncertainty in the new fuzzy model are described. To construct the fuzzy model, no a priori information on the uncertain system parameters is required except that their constraint set is assumed to be known and compact. Furthermore, the proposed fuzzy modeling approach does not impose restrictive assumptions on the structure of uncertainty (heretofore required by most traditional control design approaches). This fact makes it possible to design robust controllers for a wide range of practical systems. In addition, it sets the groundwork for systematic design of fuzzy controllers

Published in:

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on  (Volume:1 )

Date of Conference:

11-13 Dec 1996