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Synchronization of chaotic system using a brain-imitated neural network controller and its applications for secure communications
This paper proposes a new hybrid algorithm for secure communication applications. The
proposed algorithm includes a fuzzy brain emotional learning controller (FBELC), a …
proposed algorithm includes a fuzzy brain emotional learning controller (FBELC), a …
Deep learning based model predictive controller on a magnetic levitation ball system
T Peng, H Peng, R Li - ISA transactions, 2024 - Elsevier
The magnetic levitation (maglev) ball system is a prototypical Single-Input-Single-Output
(SISO) system, characterized by its pronounced nonlinearity, rapid response, and open-loop …
(SISO) system, characterized by its pronounced nonlinearity, rapid response, and open-loop …
Wavelet interval type-2 fuzzy quad-function-link brain emotional control algorithm for the synchronization of 3D nonlinear chaotic systems
This study provides a novel quad-function-link network to adjust the lower and upper
weights of a wavelet interval type-2 fuzzy brain emotional structure to increase the response …
weights of a wavelet interval type-2 fuzzy brain emotional structure to increase the response …
Design of missile guidance law using Takagi-Sugeno-Kang (TSK) elliptic type-2 fuzzy brain imitated neural networks
The exploiting of missile guidance law is one of the most important issue of defense
systems. However, it is a complex nonlinear guidance control problem. In recent years …
systems. However, it is a complex nonlinear guidance control problem. In recent years …
Robust adaptive tracking control for uncertain five-bar parallel robot using fuzzy cmac in order to improve accuracy
TQ Ngo, TH Tran, TTH Le - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
Self-organizing double function-link fuzzy brain emotional control system design for uncertain nonlinear systems
This article aims to propose a more efficient control algorithm for uncertain nonlinear
systems. An intelligent self-organizing double function-link fuzzy brain emotional control …
systems. An intelligent self-organizing double function-link fuzzy brain emotional control …
Self-Organizing Type-2 Fuzzy Double Loop Recurrent Neural Network for Uncertain Nonlinear System Control
Nonlinear systems, such as robotic systems, play an increasingly important role in our
modern daily life and have become more dominant in many industries; however, robotic …
modern daily life and have become more dominant in many industries; however, robotic …
Fuzzy C-means clustering interval type-2 cerebellar model articulation neural network for medical data classification
TL Le - IEEE access, 2019 - ieeexplore.ieee.org
This paper presents a fuzzy c-means clustering interval type-2 cerebellar model articulation
neural network (FCM-IT2CMANN) method to help physicians improve diagnostic accuracy …
neural network (FCM-IT2CMANN) method to help physicians improve diagnostic accuracy …
Adaptive filter design for active noise cancellation using recurrent type-2 fuzzy brain emotional learning neural network
This article aims to develop a more efficient adaptive filter for the active noise cancellation
(ANC). A novel recurrent interval type-2 fuzzy brain emotional learning filter (RT2BELF) is …
(ANC). A novel recurrent interval type-2 fuzzy brain emotional learning filter (RT2BELF) is …
Self-organizing interval type-2 fuzzy asymmetric CMAC design to synchronize chaotic satellite systems using a modified grey wolf optimizer
This study presents a self-organizing interval type-2 fuzzy asymmetric cerebellar model
articulation controller (MSIT2FAC) design for synchronizing chaotic satellite systems that use …
articulation controller (MSIT2FAC) design for synchronizing chaotic satellite systems that use …