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All Journal Journal of Fuzzy Systems and Control (JFSC)
Nguyen, Hai-Thanh
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Journal : Journal of Fuzzy Systems and Control (JFSC)

 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.
Co-Authors Dang, Su-Truong Hoang, Dai-Phuc Huynh, Minh-Son Huynh, Phuc-Hoang Le, Hoang-Lam Le, Khac-Chan-Nguyen Le, Thang-Phong Le, Thi-Hong-Lam Nguyen, Dinh-Phat Nguyen, Hau-Phuong Nguyen, Hoang-An Nguyen, Hoang-Son Nguyen, Hoang-Thong Nguyen, Huu-Hanh Nguyen, Le-Minh-Kha Nguyen, Ngoc-Hung Nguyen, Quang-Khai 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, Van-Hiep Pham, Huu-Chi Pham, Quang-Sang Phan, Duy-Phong Phung, Son-Thanh Tran, Hoang-Dang-Khoa Tran, Pham-Hong-Linh Tran, Phuoc-Dat Truong, Nhut-Thanh