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Authors: Radu-Emil Precup 1 ; Emil-Ioan Voisan 1 ; Emil M. Petriu 2 ; Mircea-Bogdan Radac 1 and Lucian-Ovidiu Fedorovici 1

Affiliations: 1 Politehnica University of Timisoara, Romania ; 2 University of Ottawa, Canada

ISBN: 978-989-758-122-9

Keyword(s): Evolving Takagi-Sugeno-Kang Fuzzy Models, Experimental Results, Input Selection Algorithm, Pendulum Dynamics.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Control ; Fuzzy Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Mechatronics Systems ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing ; System Modeling

Abstract: This paper presents details on the implementation of evolving Takagi-Sugeno-Kang (TSK) fuzzy models of a nonlinear process represented by the pendulum dynamics in the framework of the representative pendulum-crane systems. The pendulum angle is the output variable of the TSK fuzzy models that are obtained by online identification. The rule bases and the parameters of the TSK fuzzy models are continuously evolved by an online identification algorithm (OIA) that adds new rules with more summarization power and modifies the existing rules and parameters. The OIA is associated with an input selection algorithm that guides the modelling in terms of ranking the inputs according to their importance factors. Three TSK fuzzy models evolved by the OIA are exemplified. The performance of the new evolving TSK fuzzy models is illustrated by experimental results conducted on pendulum-crane laboratory equipment.

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Paper citation in several formats:
Precup, R.; Voisan, E.; Petriu, E.; Radac, M. and Fedorovici, L. (2015). Implementation of Evolving Fuzzy Models of a Nonlinear Process.In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-122-9, pages 5-14. DOI: 10.5220/0005524700050014

@conference{icinco15,
author={Radu{-}Emil Precup. and Emil{-}Ioan Voisan. and Emil M. Petriu. and Mircea{-}Bogdan Radac. and Lucian{-}Ovidiu Fedorovici.},
title={Implementation of Evolving Fuzzy Models of a Nonlinear Process},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2015},
pages={5-14},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005524700050014},
isbn={978-989-758-122-9},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Implementation of Evolving Fuzzy Models of a Nonlinear Process
SN - 978-989-758-122-9
AU - Precup, R.
AU - Voisan, E.
AU - Petriu, E.
AU - Radac, M.
AU - Fedorovici, L.
PY - 2015
SP - 5
EP - 14
DO - 10.5220/0005524700050014

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