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A survey on advancement of hybrid type 2 fuzzy sliding mode control

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Abstract

Numerous types of hybridizations between type 2 fuzzy logic system (T2FLS) and sliding mode control (SMC) have been proposed to construct an intelligent and robust controller that departs from the drawbacks of SMC and T2FLS. Recently, these hybridizations have been extended to the hybrid structures that are composed of type 2 fuzzy neural network (T2FNN) and SMC in order to produce adaptive, intelligent and robust controllers. Moreover, optimization algorithms are integrated with these controllers in order to tune/optimize their parameters for a superior control performance. In this paper, a survey of the advances on the hybridization of T2FLS, T2FNN, SMC and computational intelligence algorithms is presented. It has been observed that all the works involving T2FLS employed interval type 2 fuzzy logic systems. Despite the advantages of general type 2 fuzzy logic systems (GT2FLS), no record of applying GT2FLSs has been encountered in this domain. The trend of publications, the limitations associated with previous works and future research directions are outlined in the paper. Expert researchers can use this survey as a benchmark for proposing novel approaches while novice researchers (especially graduate students) can use this survey as a starting point.

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Acknowledgements

The authors would like to acknowledge University of Malaya’s financial support of this project under Postgraduate Research Grant (PPP, Grant No. PG059-2015A) and Research University Grant (RU, Grant No. RU016-2016).

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Mukhtar Fatihu Hamza, Hwa Jen Yap & Imtiaz Ahmed Choudhury

  2. Department of Mechatronics Engineering, Bayero University, Kano, 3011, Nigeria

    Mukhtar Fatihu Hamza

  3. Department of Computer Science, Federal College of Education (Technical), Gombe, Nigeria

    Haruna Chiroma

  4. Control and Automation Engineering Department, Faculty of Electrical and Electronics Engineering, Istanbul Technical University, 34469, Maslak, Istanbul, Turkey

    Tufan Kumbasar

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  1. Mukhtar Fatihu Hamza
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Hamza, M.F., Yap, H.J., Choudhury, I.A. et al. A survey on advancement of hybrid type 2 fuzzy sliding mode control. Neural Comput & Applic 30, 331–353 (2018). https://doi.org/10.1007/s00521-017-3144-z

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