New feedback control techniques of quaternion fuzzy neural networks with time‐varying delay
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5413
Abstract: This article addresses the problems of fixed‐time stabilization for a class of quaternion fuzzy neural networks (QFNNs) with time‐varying delay. The QFNNs are developed by dividing our system into four real‐valued parts based on the… read more here.
Keywords: time; neural networks; quaternion fuzzy; fuzzy neural ... See more keywords
Adaptive backstepping control for flexible-joint manipulator using interval type-2 fuzzy neural network approximator
Sign Up to like & getrecommendations! Published in 2019 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-019-05073-8
Abstract: In this paper, an adaptive backstepping controller based on interval type-2 fuzzy neural network (IT2FNN) approximator is proposed for flexible-joint manipulator with mismatched uncertainties. Backstepping control has the ability to deal with the mismatched problem,… read more here.
Keywords: type fuzzy; neural network; approximator; adaptive backstepping ... See more keywords
Projective synchronization for two nonidentical time-delayed fractional-order T–S fuzzy neural networks based on mixed $${H_\infty }$$H∞/passive adaptive sliding mode control
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-017-0761-x
Abstract: This paper deals with the problem of mixed $${H_\infty }$$H∞/passive projective synchronization for two different fractional-order (FO) T–S fuzzy neural networks with uncertain parameters and time delays. Firstly, a fractional integral sliding surface which is… read more here.
Keywords: synchronization two; fuzzy neural; projective synchronization; infty passive ... See more keywords
Self-Organizing Recurrent Wavelet Fuzzy Neural Network-Based Control System Design for MIMO Uncertain Nonlinear Systems Using TOPSIS Method
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-018-0550-z
Abstract: The major objective of this study is to design an effective control algorithm for dealing with multiple-input–multiple-output uncertain nonlinear systems. Novelty advantages of the proposed method include: (1) The network has the maximum initial rules;… read more here.
Keywords: neural network; system; control; fuzzy neural ... See more keywords
Adaptive Fuzzy-Neural Fractional-Order Current Control of Active Power Filter with Finite-Time Sliding Controller
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-019-00648-4
Abstract: In this research, an adaptive fuzzy-neural fractional-order current controller using a terminal sliding controller is developed to track ideal current of an active power filter (APF) with limited time control performance. First, an adaptive fractional-order… read more here.
Keywords: time; adaptive fuzzy; fuzzy neural; controller ... See more keywords
Critical flow prediction using simplified cascade fuzzy neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2019.107047
Abstract: Abstract In order to identify and quantify reactor coolant leaks in nuclear power plants, it is important to understand and model the leak phenomena of the fluid. When reactor coolant leaks from a high pressure… read more here.
Keywords: cascade fuzzy; fuzzy neural; reactor coolant; model ... See more keywords
Soft sensor modeling of chemical process based on self-organizing recurrent interval type-2 fuzzy neural network.
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.10.014
Abstract: This study introduces a novel self-organizing recurrent interval type-2 fuzzy neural network (SRIT2FNN) for the construction of a soft sensor model for a complex chemical process. The proposed SRIT2FNN combines interval type-2 fuzzy logic systems… read more here.
Keywords: fuzzy neural; type fuzzy; type; neural network ... See more keywords
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.12.030
Abstract: A significant increase of system complexity and state changes requires an effective data-driven system identification and machine learning algorithm to deal with the control of nonlinear systems. Using streams of data collected from the system,… read more here.
Keywords: meta cognitive; fuzzy neural; system; control ... See more keywords
Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.04.003
Abstract: Abstract This paper is concerned with a new architecture of a reinforced hybrid interval fuzzy neural networks (RHIFNN) classifier developed with aid of Fuzzy C-Means (FCM) clustering and Particle Swarm Optimization (PSO). The key objectives… read more here.
Keywords: hybrid interval; fuzzy neural; reinforced hybrid; neural networks ... See more keywords
Periodicity of impulsive Cohen-Grossberg-type fuzzy neural networks with hybrid delays
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.08.057
Abstract: Abstract In this paper, the periodicity of a class of impulsive Cohen–Grossberg-type fuzzy neural networks with hybrid delays is investigated. By applying integro-differential inequality with delays, the Lyapunov function, the Poincare map and the fixed… read more here.
Keywords: fuzzy neural; type fuzzy; impulsive cohen; neural networks ... See more keywords
Petri type 2 fuzzy neural networks approximator for adaptive control of uncertain non-linear systems
Sign Up to like & getrecommendations! Published in 2017 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2017.0610
Abstract: In this study, the authors developed a novel universal approximator by the integration of Petri networks into type 2 fuzzy neural networks (T2FNN). T2FNN involve large number of rules, which result in heavy computational burden… read more here.
Keywords: fuzzy neural; type fuzzy; system; neural networks ... See more keywords