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Gravitational Search Algorithm-Based Evolving Fuzzy Models of a Nonlinear Process

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Book cover Informatics in Control, Automation and Robotics 12th International Conference, ICINCO 2015 Colmar, France, July 21-23, 2015 Revised Selected Papers

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 383))

Abstract

Implementation issues related to evolving Takagi-Sugeno -Kang (TSK) fuzzy models of a nonlinear process are offered. The nonlinear process is the pendulum dynamics in the framework of the representative pendulum-crane systems, where the pendulum angle is the output variable of the TSK fuzzy models. An online identification algorithm (OIA) is given, which continuously evolves the rule bases and the parameters of the TSK fuzzy models, adds new rules with more summarization power and modifies the existing rules and parameters. The OIA includes an input selection algorithm and a Gravitational Search Algorithm that updates the parameters in the rule consequents. The evolving TSK fuzzy models are validated by experiments conducted on pendulum-crane laboratory equipment.

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Acknowledgments

This work was supported by a grant from the Romanian National Authority for Scientific Research, CNCS – UEFISCDI, project number PN-II-ID-PCE-2011-3-0109, by a grant from the Partnerships in priority areas – PN II program of the Romanian National Authority for Scientific Research ANCS, CNDI – UEFISCDI, project number PN-II-PT-PCCA-2011-3.2-0732, by grants from the Partnerships in priority areas – PN II program of the Romanian Ministry of Education and Research (MEdC) – the Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI), project numbers PN-II-PT-PCCA-2013-4-0544 and PN-II-PT-PCCA-2013-4-0070, and by a grant from the NSERC of Canada.

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Authors and Affiliations

  1. Politehnica University of Timisoara, Timisoara, Romania

    Radu-Emil Precup, Emil-Ioan Voisan, Mircea-Bogdan Radac & Lucian-Ovidiu Fedorovici

  2. University of Ottawa, Ottawa, Canada

    Emil M. Petriu

Authors
  1. Radu-Emil Precup
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  2. Emil-Ioan Voisan
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  3. Emil M. Petriu
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  4. Mircea-Bogdan Radac
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  5. Lucian-Ovidiu Fedorovici
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Correspondence to Radu-Emil Precup .

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Editors and Affiliations

  1. Polytechnic Institute of Setúbal, Setubal, Portugal

    Joaquim Filipe

  2. Vitry sur Seine, France

    Kurosh Madani

  3. Ford Research & Adv. Engineering, Dearborn, Michigan, USA

    Oleg Gusikhin

  4. Mechanical and Aerospace Engineering, Carleton University, Ottawa, Ontario, Canada

    Jurek Sasiadek

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Precup, RE., Voisan, EI., Petriu, E.M., Radac, MB., Fedorovici, LO. (2016). Gravitational Search Algorithm-Based Evolving Fuzzy Models of a Nonlinear Process. In: Filipe, J., Madani, K., Gusikhin, O., Sasiadek, J. (eds) Informatics in Control, Automation and Robotics 12th International Conference, ICINCO 2015 Colmar, France, July 21-23, 2015 Revised Selected Papers. Lecture Notes in Electrical Engineering, vol 383. Springer, Cham. https://doi.org/10.1007/978-3-319-31898-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-31898-1_3

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