By Topic

The design process for conventional and neural controllers -a case study

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 $31
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

3 Author(s)
Nowinski, G. ; Tech. Univ. Hamburg-Harburg, Germany ; Trachtler, A. ; Lafuente, R.

Neural nets show the ability to learn and to reproduce a given input-output behaviour without the need of a mathematical model. They can be used to mimic an operator's behaviour when a control task can be solved manually. Therefore it seems to be easier and more cost-effective in this case to design a neural controller than a conventional controller. In a case study, both conventional and neural controllers for the lateral motion of a vision-guided vehicle were designed. This paper discusses in detail the different design processes for both types of controllers and compares the results

Published in:

Intelligent Systems Engineering, 1994., Second International Conference on

Date of Conference:

5-9 Sep 1994