| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 721766 | IFAC Proceedings Volumes | 2009 | 7 Pages |
Abstract
This work presents a supervisory control strategy for Networked Control Systems (NCSs). This shows the identification and control of the plant using the fuzzy theory. The identification has been perform through input-output data. The fuzzy model incorporates the delay dynamics within the fuzzy rules based upon a real-time scheduling strategy. The controller is composed by a nominal control (PID) and a supervisory control which is proposed from the delay dynamics following the related predefined time delays. A system of magnetic levitation is presented as a case study.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
PAUL E. MENDEZ, HÉCTOR BENÍTEZ-PÉREZ,