Article Per Year (5 Year)
p-Index From 2021 - 2026
1.116
P-Index
This Author published in this journals
All Journal Indonesian Journal of Engineering and Science (IJES) Journal of Fuzzy Systems and Control (JFSC) Control Systems and Optimization Letters
Nguyen, Hai-Thanh
Unknown Affiliation
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
A Survey of Experimental LQR for Cart and Pole Hoang, Dai-Phuc; Nguyen, Hoang-An; Pham, Quang-Sang; Pham, Huu-Chi; Huynh, Minh-Son; Phan, Duy-Phong; Truong, Nhut-Thanh; Nguyen, Dinh-Phat; Nguyen, Tran-Tu-Uyen; Nguyen, Hai-Thanh
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.211

Abstract

This study explores using an LQR control for a balancing model of the inverted pendulum (IP) on a cart and pole system at the equilibrium point. The approach starts by deriving the system's motion equations by Lagrangian method. Moreover, real-world experiments are conducted to validate the proposed control strategy, demonstrating its practical applicability and robustness specifically in the context of stabilizing IP systems on carts. Thence, this model can be a standard training model for laboratory in control theory.
A Study of Adaptive Model Predictive Control for Rotary Inverted Pendulum Huynh, Phuc-Hoang; Le, Khac-Chan-Nguyen; Nguyen, Truong-Phuc; Tran, Hoang-Dang-Khoa; Dang, Su-Truong; Nguyen, Thanh-Quyen; Le, Thang-Phong; Nguyen, Huu-Hanh; Tran, Pham-Hong-Linh; Nguyen, Hau-Phuong; Nguyen, Hoang-Son; Nguyen, Tai-Truong; Nguyen, Hai-Thanh
Journal of Fuzzy Systems and Control Vol. 3 No. 2 (2025): Vol. 3, No. 2, 2025
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v3i2.302

Abstract

This paper proposes an Adaptive Model Predictive Control (MPC) approach for the rotary inverted pendulum (RIP). The method combines Linear Time-Varying (LTV) models at each sampling instant with a Linear Time-Varying Kalman Filter (LTVKF) for state estimation. By predicting and adapting to dynamic system changes, the controller achieves trajectory tracking performance comparable to non-adaptive MPC. However, the Adaptive MPC extends the arm’s operating range by up to 1.5 times, making it a promising solution for strongly nonlinear or time-varying systems like the RIP.
Design and Implementation of an IoT-Enabled Autonomous Fire-Fighting Robot Using Vision-Based Fire Detection Nguyen, Hoang-Thong; Nguyen, Quoc-Thuan; Tran, Phuoc-Dat; Nguyen, Quang-Khai; Le, Thi-Hong-Lam; Nguyen, Le-Minh-Kha; Nguyen, Van-Hiep; Nguyen, Thanh-Binh; Nguyen, Ngoc-Hung; Nguyen, Thi-Ngoc-Thao; Phung, Son-Thanh; Le, Hoang-Lam; Nguyen, Thanh-Toan; Nguyen, Hai-Thanh
Journal of Fuzzy Systems and Control Vol. 3 No. 3 (2025): Vol. 3 No. 3 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper presents the design and implementation of an IoT-enabled autonomous fire-fighting mobile robot for early hazard detection, remote monitoring, and emergency response. The proposed system integrates real-time deep learning–based fire detection using a YOLO model with fire and gas sensor–based monitoring for IoT-based alert transmission and SLAM-based environmental visualization to form a multifunctional robotic platform capable of performing a sequence of tasks from detection and warning to initial fire response. The robot is capable of autonomous movement with obstacle avoidance, while a 2D SLAM-based mapping module is employed to provide environmental visualization for monitoring and decision support. A mobile application enables remote supervision and control, and real-time alerts are delivered through an IoT platform to enhance situational awareness. Experimental results show that the proposed system achieves a fire detection and response success rate of approximately 70%, with reliable fire recognition and fast response time under indoor testing conditions. The developed robot demonstrates strong potential as a practical solution for improving safety and supporting early-stage fire response in residential and industrial environments.
EXPERIMENTAL ANFIS-FUZZY CONTROLLER FOR BALL AND BEAM SYSTEM Le, Tuan-Kiet; Nguyen, Le-Anh-Tuan; Le, Ngoc-Long; Nguyen, Van-Dong-Hai; Le, Thi-Hong-Lam; Le, Thi-Thanh-Hoang; Nguyen, Van-Hiep; Nguyen, Thanh-Binh; Phu, Thi-Ngoc-Hieu; Nguyen, Thi-Ngoc-Thao; Nguyen, Ngoc-Hung; Nguyen, Binh-Hau; Nguyen, Hai-Thanh
Indonesian Journal of Engineering and Science Vol. 7 No. 1 (2026): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v7i1.206

Abstract

This paper presents the development of an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller for a mid-pivot Ball and Beam system. The nonlinear dynamic model is derived using Euler–Lagrange formulation, followed by DC motor modeling to construct the full state-space system. An ANFIS controller is trained from PID-generated data to enhance adaptability under nonlinear conditions. Simulation and hardware experiments validate the controller’s performance. Results show that the proposed controller can stabilize the system with reasonable accuracy, although overshoot and oscillation remain. Directions for improving intelligent control and hardware design are discussed.
A S7-1200 PLC-BASED MOTION SEAT SYSTEM FOR 3D CINEMA APPLICATIONS Ho, Thanh-Phuong; Dieu, Nghia; Tran, Quang-Huy; Nguyen, Thi-Ngoc-Thao; Le, Thi-Hong-Lam; Nguyen, Phong-Luu; Nguyen, Hai-Thanh; Pham, Gia-Loc; Nguyen, Ha-Thien-Phuc; Tran, Van-Toan; Nguyen, Truong-Viet; Pham, Ngoc-Bao; Nguyen, Van-Bac; Hoang, Minh-Giap
Indonesian Journal of Engineering and Science Vol. 7 No. 1 (2026): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v7i1.214

Abstract

Immersive cinematic experiences are becoming increasingly important in enhancing audience satisfaction. By integrating various pneumatic and electrical actuators, a 3D cinema seat system is developed to simulate real-time motion effects such as vibration, lifting, wind blowing, and mist spraying. These effects are synchronized with movie content to improve viewer engagement. In this paper, we present a prototype that utilizes a Siemens S7-1200 PLC as the main controller and a Weinview HMI for interaction. The system's effects are triggered through a scenario-based timeline controlled via ladder logic. Through experimental trials, the model demonstrates high responsiveness and reliability, meeting real-time synchronization requirements. A supervision interface is also designed to allow users to manage effect sequences during playback.
Trajectory Tracking Controller Design for a One-degree-of-Freedom Robotic Arm using Fuzzy Logic and Neural Controllers Nguyen, Quang-Thien; Nguyen, Anh-Huy; Le, Hoang-Linh; Nguyen, Hai-Thanh; Le, Thi-Hong-Lam; Nguyen, Ngoc-Hung; Nguyen, Van-Hiep; Nguyen, Thanh-Binh; Nguyen, Thi-Ngoc-Thao; Nguyen, Minh-Tam; Nguyen, Phong-Luu; Le, Hoang-Lam; Phung, Son-Thanh
Control Systems and Optimization Letters Vol 4, No 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i1.271

Abstract

The one-degree-of-freedom (1-DOF) robotic arm is a fundamental platform widely used in laboratories for teaching and evaluating position and trajectory control strategies. This paper presents the modeling, simulation, and experimental implementation of a 1-DOF robotic arm system using intelligent control approaches. A Fuzzy Logic Controller (FLC) and a neural network controller (NNC) based on a multi-layer perceptron (MLP) were designed and evaluated in MATLAB/Simulink and implemented in real time on an STM32F4 embedded hardware platform. Both controllers were tested under step and sinusoidal reference inputs, achieving tracking errors below 5°, settling times of approximately 0.1 s (within ±2%), and limited overshoot. Although the neural network successfully reproduced the general control behavior of the FLC, the fuzzy controller demonstrated slightly smoother responses and lower control effort under multi-level step conditions. A primary contribution of this work is the development and validation of a low-cost STM32F4G-based embedded platform for implementing and experimentally evaluating intelligent control algorithms, providing a practical and scalable solution for intelligent control research and laboratory education in universities.
Co-Authors Dang, Su-Truong Dieu, Nghia Ho, Thanh-Phuong Hoang, Dai-Phuc Hoang, Minh-Giap Huynh, Minh-Son Huynh, Phuc-Hoang Le, Hoang-Lam Le, Hoang-Linh Le, Khac-Chan-Nguyen Le, Ngoc-Long Le, Thang-Phong Le, Thi-Hong-Lam Le, Thi-Thanh-Hoang Le, Tuan-Kiet Nguyen, Anh-Huy Nguyen, Binh-Hau Nguyen, Dinh-Phat Nguyen, Ha-Thien-Phuc Nguyen, Hau-Phuong Nguyen, Hoang-An Nguyen, Hoang-Son Nguyen, Hoang-Thong Nguyen, Huu-Hanh Nguyen, Le-Anh-Tuan Nguyen, Le-Minh-Kha Nguyen, Minh-Tam Nguyen, Ngoc-Hung Nguyen, Phong-Luu Nguyen, Quang-Khai Nguyen, Quang-Thien Nguyen, Quoc-Thuan Nguyen, Tai-Truong Nguyen, Thanh-Binh Nguyen, Thanh-Quyen Nguyen, Thanh-Toan Nguyen, Thi-Ngoc-Thao Nguyen, Tran-Tu-Uyen Nguyen, Truong-Phuc Nguyen, Truong-Viet Nguyen, Van-Bac Nguyen, Van-Dong-Hai Nguyen, Van-Hiep Pham, Gia-Loc Pham, Huu-Chi Pham, Ngoc-Bao Pham, Quang-Sang Phan, Duy-Phong Phu, Thi-Ngoc-Hieu Phung, Son-Thanh Tran, Hoang-Dang-Khoa Tran, Pham-Hong-Linh Tran, Phuoc-Dat Tran, Quang-Huy Tran, Van-Toan Truong, Nhut-Thanh