Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
380805 | Engineering Applications of Artificial Intelligence | 2013 | 13 Pages |
Abstract
This paper addresses a new approach to design rule-based controllers using concepts of rough sets and techniques of state feedback. The goal is to obtain rule-based models that allow the construction of control loops, ensuring stable conditions and suitable dynamic characteristics for nonlinear systems. The study performs a comparison of the procedure proposed with results obtained with a conventional control, where a system with nonlinear behavior is used. Numerical examples derived from computer simulations and real applications are shown. Experiments in a level plant were performed, checking the potential of the rule-based controllers.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Kascilene Machado, Carlos Pinheiro,