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A Review of Fuzzy Metaheuristics for Optimal Design of Fuzzy Controllers in Mobile Robotics

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Complex Systems: Spanning Control and Computational Cybernetics: Applications

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 415))

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Abstract

In this article, a review of the existing publications using fuzzy metaheuristics for optimal design of fuzzy controllers in mobile robotics is presented. Metaheuristics is an area that deals with a wide range of bio-inspired and nature-inspired optimization algorithms than can be used for diverse application areas. Fuzzy control can be thought of as a way for achieving control of dynamic systems by using fuzzy sets and fuzzy systems that are based on expert knowledge instead of traditional mathematical models. In this regard, it is natural to think that the metaheuristics area, which include techniques such as genetic algorithms and bio or nature inspired optimization techniques, will have a great impact in achieving the goals of efficiently controlling mobile robots. Actually, this review paper reveals that there have been many works in this area, and we will provide the up to date relevant statistics and analysis of the existing works. In addition, we will outline future possible trends for research on applying fuzzy metaheuristics to problems of designing fuzzy controllers in mobile robotics.

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Authors and Affiliations

  1. Tijuana Institute of Technology, 22379, Tijuana, BC, Mexico

    Oscar Castillo & Patricia Melin

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  1. Oscar Castillo
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  2. Patricia Melin
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Correspondence to Oscar Castillo .

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Editors and Affiliations

  1. School of Electrical and Electronic Engineering, University of Adelaide, Adelaide, SA, Australia

    Peng Shi

  2. Control and Informatics Division, JP Hydro-System "Streževo“, Bitola, North Macedonia

    Jovan Stefanovski

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Castillo, O., Melin, P. (2022). A Review of Fuzzy Metaheuristics for Optimal Design of Fuzzy Controllers in Mobile Robotics. In: Shi, P., Stefanovski, J., Kacprzyk, J. (eds) Complex Systems: Spanning Control and Computational Cybernetics: Applications. Studies in Systems, Decision and Control, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-031-00978-5_3

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