Model-based control using interval type-2 fuzzy logic systems
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-016-2358-9
Abstract: Type-2 fuzzy logic introduced new formalisms capable of overcoming the inherent uncertainties of approximating real-world processes by computational models. Yet, despite increasingly present in the nonlinear modeling literature, model-based control theory does not seem to… read more here.
Keywords: fuzzy logic; control; type fuzzy; logic systems ... See more keywords
Energy efficient walking control for biped robots using interval type-2 fuzzy logic systems and optimized iteration algorithm.
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.11.018
Abstract: An energy efficient approach is proposed for the walking control of bipedal robots. To compensate the ZMP error caused by model uncertainties and external disturbances, we design a new walking controller in this paper. Different… read more here.
Keywords: logic systems; energy efficient; walking control; control ... See more keywords
ADONiS—Adaptive Online Nonsingleton Fuzzy Logic Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2933787
Abstract: Nonsingleton fuzzy logic systems (NSFLSs) have the potential to capture and handle input noise within the design of input fuzzy sets (FSs). In this article, we propose an online learning method that utilizes a sequence… read more here.
Keywords: input; nonsingleton fuzzy; nonsingleton; input fss ... See more keywords
Forecasting by designing Mamdani general type-2 fuzzy logic systems optimized with quantum particle swarm optimization algorithms
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DOI: 10.1177/0142331218816753
Abstract: Much more attention has been focused on studying and applying general type-2 fuzzy logic systems (GT2 FLSs) in recent years. The paper designs a type of Mamdani GT2 FLS for studying forecasting problems based on… read more here.
Keywords: type fuzzy; logic systems; fuzzy logic; type ... See more keywords