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Soft Computing in Industrial Applications pp 83–93Cite as

An Approach to Fuzzy Modeling of Anti-lock Braking Systems

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 223))

Abstract

This chapter proposes an approach to fuzzy modeling of Anti-lock Braking Systems (ABSs). The local state-space models are derived by the linearization of the nonlinear ABS process model at ten operating points. The Takagi-Sugeno (T-S) fuzzy models are obtained by the modal equivalence principle, where the local state-space models are the rule consequents. The optimization problems are defined in order to minimize the objective functions expressed as the squared modeling errors, and the variables of these functions are a part of the parameters of input membership functions. Simulated Annealing algorithms are implemented to solve the optimization problems and to obtain optimal T-S fuzzy models. Real-time experimental results are included to validate the new optimal T-S fuzzy models for ABS laboratory equipment.

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Acknowledgments

This work was supported by a grant in the framework of 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, and by a grant of the NSERC of Canada.

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Authors and Affiliations

  1. Department of Automation and Applied Informatics, “Politehnica” University of Timisoara, Bd. V. Parvan 2, ON, 300223, Timisoara, Romania

    Radu-Codruţ David, Ramona-Bianca Grad, Radu-Emil Precup, Mircea-Bogdan Rădac & Claudia-Adina Dragoş

  2. School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, Ottawa, K1N 6N5, Canada

    Emil M. Petriu

Authors
  1. Radu-Codruţ David
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  2. Ramona-Bianca Grad
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  3. Radu-Emil Precup
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  4. Mircea-Bogdan Rădac
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  5. Claudia-Adina Dragoş
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  6. Emil M. Petriu
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Corresponding author

Correspondence to Radu-Codruţ David .

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Editors and Affiliations

  1. Department of Computer Science, VŠB-TUO Faculty of Electrical Eng. & Comp. Sci., Ostrava-Poruba, Czech Republic

    Václav Snášel

  2. Department of Computer Science, VŠB-TUO Faculty of Electrical Eng. & Comp. Sci., Ostrava-Poruba, Czech Republic

    Pavel Krömer

  3. Network Design and Research Center, Kyushu Institute of Technology, Fukuoka, Japan

    Mario Köppen

  4. Department of Computer Science, Loughborough University, Lougborough, United Kingdom

    Gerald Schaefer

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© 2014 Springer International Publishing Switzerland

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David, RC., Grad, RB., Precup, RE., Rădac, MB., Dragoş, CA., Petriu, E.M. (2014). An Approach to Fuzzy Modeling of Anti-lock Braking Systems. In: Snášel, V., Krömer, P., Köppen, M., Schaefer, G. (eds) Soft Computing in Industrial Applications. Advances in Intelligent Systems and Computing, vol 223. Springer, Cham. https://doi.org/10.1007/978-3-319-00930-8_8

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  • DOI: https://doi.org/10.1007/978-3-319-00930-8_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00929-2

  • Online ISBN: 978-3-319-00930-8

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