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Bio-Inspired Optimization of Interval Type-2 Fuzzy Controller Design

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Frontiers of Higher Order Fuzzy Sets

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Abstract

This chapter presents a general framework for designing interval type-2 fuzzy controllers based on bio-inspired optimization techniques. The problem of designing optimal type-2 fuzzy controllers for complex nonlinear plants under uncertain environments is of crucial importance in achieving good results for real-world applications. Traditional approaches have been using genetic algorithms or trial and error approaches; however, results tend to be not optimal or require very large design times. More recently, bio-inspired optimization techniques, like ant colony optimization or particle swarm intelligence, have also been applied on optimal design of fuzzy controllers. In this chapter, we show how bio-inspired optimization techniques can be used to obtain results that outperform traditional approaches in the design of optimal type-2 fuzzy controllers.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Calzada Tecnologico s/n, 22379, Tijuana, CP, Mexico

    Oscar Castillo

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  1. Oscar Castillo
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Correspondence to Oscar Castillo .

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Editors and Affiliations

  1. Ryerson University, Toronto, Ontario, Canada

    Alireza Sadeghian

  2. Ryerson University, Toronto, Ontario, Canada

    Hooman Tahayori

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Castillo, O. (2015). Bio-Inspired Optimization of Interval Type-2 Fuzzy Controller Design. In: Sadeghian, A., Tahayori, H. (eds) Frontiers of Higher Order Fuzzy Sets. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3442-9_10

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  • DOI: https://doi.org/10.1007/978-1-4614-3442-9_10

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-3441-2

  • Online ISBN: 978-1-4614-3442-9

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