T
Tuan-Tu Huynh
Researcher at Yuan Ze University
Publications - 51
Citations - 910
Tuan-Tu Huynh is an academic researcher from Yuan Ze University. The author has contributed to research in topics: Control theory & Gradient descent. The author has an hindex of 12, co-authored 41 publications receiving 429 citations.
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Self-Evolving Function-Link Interval Type-2 Fuzzy Neural Network for Nonlinear System Identification and Control
TL;DR: In this article, a self-evolving function-link interval type-2 fuzzy neural network (SEFT2FNN) is proposed to construct the rule base with the initial empty and membership functions, and adaptive laws for the proposed system are derived using the steepest descent gradient approach.
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Self-evolving type-2 fuzzy brain emotional learning control design for chaotic systems using PSO
TL;DR: A design of interval type-2 fuzzy brain emotional learning control (T2FBELC) combining with the self-evolving algorithm to help the network to automatically achieve the optimum construction from the empty initial rule is presented.
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Robust Position Control of an Over-actuated Underwater Vehicle under Model Uncertainties and Ocean Current Effects Using Dynamic Sliding Mode Surface and Optimal Allocation Control.
TL;DR: In this paper, a nonlinear dynamics and robust positioning control of the over-actuated autonomous underwater vehicle (AUV) under the effects of ocean current and model uncertainties is presented.
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Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI.
Nguyen Quoc Khanh Le,Nguyen Quoc Khanh Le,Truong Nguyen Khanh Hung,Duyen Thi Do,Luu Ho Thanh Lam,Luong Huu Dang,Tuan-Tu Huynh +6 more
TL;DR: In this article, the authors evaluated the efficiency of eXtreme Gradient Boosting (XGBoost)-based radiomics model to classify transcriptome subtypes in glioblastoma patients.
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Station-Keeping Control of a Hovering Over-Actuated Autonomous Underwater Vehicle Under Ocean Current Effects and Model Uncertainties in Horizontal Plane
TL;DR: In this paper, the robust station-keeping (SK) control algorithm based on a sliding mode control (SMC) theory is designed to guarantee stability and better performance of a hovering over-actuated autonomous underwater vehicle (HAUV) despite the existence of model uncertainties and ocean current disturbance in the horizontal plane (HP).