cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Amir Arifin
Contact Email
amir@unsri.ac.id
Phone
-
Journal Mail Official
aspensriwijaya@gmail.com
Editorial Address
Jl. Srijaya Negara, Bukit Besar Palembang Sumatera Selatan 30128
Location
Kota palembang,
Sumatera selatan
INDONESIA
Indonesian Journal of Engineering and Science (IJES)
Published by Asosiasi Peneliti Sriwijaya (APS)
ISSN : -     EISSN : 2774373X     DOI : 10.51630
Core Subject : Science, Engineering,
Energy Engineering Materials Science & Nanotechnology Mechanical Engineering
Indonesian Journal of Engineering and Science (IJES : ISSN 2274-373X) is a peer-reviewed journal that aims at the publication and dissemination of original research articles on the latest developments in all fields of engineering science and technology. The journal publishes original papers in English, which contribute to the understanding of engineering science and improvement of the engineering technology and education. Papers may be theoretical, experimental and paper review. The contribution should be unpublished before and not under consideration for publication elsewhere.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 1 Documents
 1 
Search results for , issue "vol. 7 no. 1 (2026): table of contents" : 1 Documents clear
EXPERIMENTAL ANFIS-FUZZY CONTROLLER FOR BALL AND BEAM SYSTEM Tuan-Kiet Le; Le-Anh-Tuan Nguyen; Ngoc-Long Le; Van-Dong-Hai Nguyen; Thi-Hong-Lam Le; Thi-Thanh-Hoang Le; Van-Hiep Nguyen; Thanh-Binh Nguyen; Thi-Ngoc-Hieu Phu; Thi-Ngoc-Thao Nguyen; Ngoc-Hung Nguyen; Binh-Hau Nguyen; Hai-Thanh Nguyen
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.

Page 1 of 1 | Total Record : 1

 1 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 7 No. 2 (2026): Table of Contents: In progress Vol. 7 No. 1 (2026): Table of Contents Vol. 6 No. 3 (2025): Table of Contents: In progress Vol. 6 No. 2 (2025): Table of Contents Vol. 6 No. 1 (2025): Table of Contents Vol. 5 No. 2 (2024): Table of Contents: In progress Vol. 5 No. 1 (2024): Table of Contents Vol. 4 No. 1 (2023): Table of Content Vol. 3 No. 3 (2022): Table of Content Vol. 3 No. 2 (2022): Table of Content Vol. 3 No. 1 (2022): Table of Contents Vol. 2 No. 3 (2021): Table of Contents Vol. 2 No. 2 (2021): Table of Contents Vol. 2 No. 1 (2021): Table of Contents Vol. 1 No. 1 (2020): Table of Contents More Issue