By Topic

A survey of neural networks applications in automatic control

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

4 Author(s)
Chowdhury, F.N. ; Center for Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA ; Wahi, P. ; Raina, R. ; Kaminedi, S.

This paper is a survey of recent literature in neural networks applications in the field of automatic control. It is now generally accepted in the field that for nonlinear, imperfectly or partially known, and complicated systems, neural networks offer some of the most effective control techniques. In this paper, no attempt has been made to provide mathematical or algorithmic details of the various approaches that are being proposed in the literature; instead, general outlines of some of the techniques are given. The survey is not presented in a chronological order. It is not an exhaustive survey (but an effort has been made to collect publications from different types of journals). Many authors and groups of authors in the field have numerous publications; for each group, we have cited only one or two representative articles. The goal of this paper is to serve as a resource for new researchers in the field

Published in:

System Theory, 2001. Proceedings of the 33rd Southeastern Symposium on

Date of Conference:

Mar 2001