International Journal of Computational Intelligence Systems

Volume 7, Issue 3, June 2014, Pages 582 - 594

A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance

Authors
Rafik Lasri, Ignacio Rojas, Hector Pomares, Olga Valenzuela
Corresponding Author
Rafik Lasri
Received 17 January 2013, Accepted 26 September 2013, Available Online 1 June 2014.
DOI
https://doi.org/10.1080/18756891.2013.865403How to use a DOI?
Keywords
Adaptive fuzzy policy, self-organize fuzzy controller, real time control, saving power
Abstract
In this paper, a temperature control in real time control process was presented using several control algorithms. A quantitative comparison based on the real power consumption and (the precision and the robustness) of these controllers during the same control process and under the same conditions will be done. The proposed Adaptive and Self Organizing Fuzzy policy has been able to prove its superiority against the remaining controllers. The new Adaptive and Self Organizing Fuzzy Logic Controller starts the control with a very limited information about the controlled process (delay and the monotonicity sign) and without any kind of offline pre-training, the adaptive controller acts online to collect the necessary background to adapt their rules consequents and to self organize their membership functions from the real behavior of the controlled process. During 200 minutes and under the same conditions all the performed controllers have been used to control the room temperature, each simulation has been repeated five times with two different sets of set points. These amounts of results was used as a set of sampling for the statistical tool ANOVA (Analysis of Variance) that can prove and illustrate the validity and the extrapolability of the conclusions extracted from several stages of this work.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 3
Pages
582 - 594
Publication Date
2014/06
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.865403How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Rafik Lasri
AU  - Ignacio Rojas
AU  - Hector Pomares
AU  - Olga Valenzuela
PY  - 2014
DA  - 2014/06
TI  - A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance
JO  - International Journal of Computational Intelligence Systems
SP  - 582
EP  - 594
VL  - 7
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.865403
DO  - https://doi.org/10.1080/18756891.2013.865403
ID  - Lasri2014
ER  -