Synchronization of chaotic system using a brain-imitated neural network controller and its applications for secure communications

CM Lin, DH Pham, TT Huynh - IEEE Access, 2021 - ieeexplore.ieee.org
This paper proposes a new hybrid algorithm for secure communication applications. The
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 …

Wavelet interval type-2 fuzzy quad-function-link brain emotional control algorithm for the synchronization of 3D nonlinear chaotic systems

TT Huynh, CM Lin, TL Le, NP Nguyen, SK Hong… - International Journal of …, 2020 - Springer
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 …

Design of missile guidance law using Takagi-Sugeno-Kang (TSK) elliptic type-2 fuzzy brain imitated neural networks

DH Pham, CM Lin, VP Vu, HY Cho - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

Self-organizing double function-link fuzzy brain emotional control system design for uncertain nonlinear systems

TT Huynh, CM Lin, TL Le, VP Vu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Self-Organizing Type-2 Fuzzy Double Loop Recurrent Neural Network for Uncertain Nonlinear System Control

LJ Li, X Chang, F Chao, CM Lin… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
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 …

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 …

Adaptive filter design for active noise cancellation using recurrent type-2 fuzzy brain emotional learning neural network

TL Le, TT Huynh, CM Lin - Neural Computing and Applications, 2020 - Springer
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 …

Self-organizing interval type-2 fuzzy asymmetric CMAC design to synchronize chaotic satellite systems using a modified grey wolf optimizer

TL Le, TT Huynh, SK Hong - IEEE Access, 2020 - ieeexplore.ieee.org
This study presents a self-organizing interval type-2 fuzzy asymmetric cerebellar model
articulation controller (MSIT2FAC) design for synchronizing chaotic satellite systems that use …