2022
DOI: 10.1108/ijicc-01-2022-0011
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Type-2 fuzzy logic applications designed for active parameter adaptation in metaheuristic algorithm for fuzzy fault-tolerant controller

Abstract: PurposeIn recent times, fuzzy logic is gaining more and more attention, and this is because of the capability of understanding the functioning of the system as per human knowledge-based system. The main contribution of the work is dynamically adapting the important parameters throughout the execution of the flower pollination algorithm (FPA) using concepts of fuzzy logic. By adapting the main parameters of the metaheuristics, the performance and accuracy of the metaheuristic have been improving in a varied ran… Show more

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Cited by 13 publications
(3 citation statements)
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“…Additionally, statistical analysis and a Friedman rank test confirm the superiority of the JOA algorithm-based PID controller over other controllers. In future, fractional order controllers 26,27 , fuzzy controllers [28][29][30][31][32][33] and learning based controllers 34,35 , along with learning based optimization techniques 36 , can be implemented for optimal generation control. Z 0102 0.00447 0.00426 0.00364 0.00336 0.00425 0.00346…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, statistical analysis and a Friedman rank test confirm the superiority of the JOA algorithm-based PID controller over other controllers. In future, fractional order controllers 26,27 , fuzzy controllers [28][29][30][31][32][33] and learning based controllers 34,35 , along with learning based optimization techniques 36 , can be implemented for optimal generation control. Z 0102 0.00447 0.00426 0.00364 0.00336 0.00425 0.00346…”
Section: Discussionmentioning
confidence: 99%
“…Some relevant works have been studied, for example; in [25] an optimization of the T2FL is presented with the hybridization of GSO and FA algorithms, and in [26], a shadowed type-2 FS in the improvement of the cuckoo search and flower pollination algorithms is presented. In [27], a type-2 FL is implemented in the improvement of a metaheuristic algorithm, and in [28], a bat algorithm is implemented in the optimization of an IT2FLS. In [29], a metaheuristic approach for IT2FLS is implemented, and in [30], a type-2 FS is implemented in the dynamic adaptation of harmony search optimization [31] and bee colony optimization [32].…”
Section: Related Workmentioning
confidence: 99%
“…This type of solution was described by Kia et al 15 . The advantage of systems based on fuzzy logic is that they can easily use human knowledge 16 , 17 —e.g. experts in a given field.…”
Section: Introductionmentioning
confidence: 99%