Rough controllers with state feedback

Autor: Kascilene Goncalves Machado, Carlos A. M. Pinheiro
Rok vydání: 2013
Předmět:
Zdroj: Engineering Applications of Artificial Intelligence. 26:2467-2479
ISSN: 0952-1976
DOI: 10.1016/j.engappai.2013.07.019
Popis: 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.
Databáze: OpenAIRE