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Authors: Rafik Lasri ; Ignacio Rojas ; Héctor Pomares and Fernando Rojas

Affiliation: Univ. of Granada, Spain

Keyword(s): Adaptive Fuzzy Controller, Temperature Control, Real-time Control, PID Control Process.

Related Ontology Subjects/Areas/Topics: Approximate Reasoning and Fuzzy Inference ; Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Fuzzy Systems Design, Modeling and Control ; Learning and Adaptive Fuzzy Systems ; Real-Time Learning of Fuzzy and Neuro-Fuzzy Systems ; Soft Computing

Abstract: This article presents a comparative study of various control algorithms. An adaptive fuzzy logic controller is set to prove its effectiveness against other conventional controllers in a simulated control process as well as in a real environment. Through a training board that allows us to control the temperature, we can compare the behavior of each used algorithm. The adaptive fuzzy logic controller will be required to present a real high performance in temperature control, having in mind that the adaptive algorithm starts with no rules set i.e., empty rule base or by assigning arbitrary values to the rules without any information off-line. The comparison of results clearly shows the great contribution that the policy of an adaptive algorithm brings; ease of implementation and high accuracy.

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Paper citation in several formats:
Lasri, R.; Rojas, I.; Pomares, H. and Rojas, F. (2011). A NEW METHOTOLOGY FOR ADAPTIVE FUZZY CONTROLLER. COMPARISON PERFORMANCE AGAINST SEVERAL CONTROL ALGORITHMS IN A REAL TIME CONTROL PROCESS. In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - FCTA; ISBN 978-989-8425-83-6, SciTePress, pages 470-474. DOI: 10.5220/0003647204700474

@conference{fcta11,
author={Rafik Lasri. and Ignacio Rojas. and Héctor Pomares. and Fernando Rojas.},
title={A NEW METHOTOLOGY FOR ADAPTIVE FUZZY CONTROLLER. COMPARISON PERFORMANCE AGAINST SEVERAL CONTROL ALGORITHMS IN A REAL TIME CONTROL PROCESS},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - FCTA},
year={2011},
pages={470-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003647204700474},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - FCTA
TI - A NEW METHOTOLOGY FOR ADAPTIVE FUZZY CONTROLLER. COMPARISON PERFORMANCE AGAINST SEVERAL CONTROL ALGORITHMS IN A REAL TIME CONTROL PROCESS
SN - 978-989-8425-83-6
AU - Lasri, R.
AU - Rojas, I.
AU - Pomares, H.
AU - Rojas, F.
PY - 2011
SP - 470
EP - 474
DO - 10.5220/0003647204700474
PB - SciTePress

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