Article Per Year (5 Year)
p-Index From 2019 - 2024
3.087
P-Index
This Author published in this journals
All Journal Perfecting a Video Game with Game Metrics Sinergi Proceeding of the Electrical Engineering Computer Science and Informatics TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Abdi Masyarakat (JAM) Journal FORTEI-JEERI International Journal of Engineering Continuity
Suwoyo, Heru
Universitas Mercu Buana
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal FORTEI-JEERI

 1 
The ACA-based PID Controller for Enhancing a Wheeled-Mobile Robot Heru Suwoyo; Yingzhong Tian; Andi Adriansyah; Muhammad Hafizd Ibnu Hajar; Tong Zhou
Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v1i2.15

Abstract

Wall-following control of mobile robot is an important topic in the mobile robot researches. The wall-following control problem is characterized by moving the robot along the wall in a desired direction while maintaining a constants distance to the wall. The existing control algorithms become complicated in implementation and not efficient enough. Ant colony algorithm (ACA), in terms of optimizing parameters, has a faster convergence speed and features that are easy to integrate with other methods. This paper adopts ant colony algorithm to optimize PID controller, and then selects ideal control parameters. The simulation results based on MATLAB show that the control system optimized by ant colony algorithm has higher efficiency than the traditional control systems in term of RMSE.
The MAPWE-Boosted AEKF with Recursive-Against-Iteration Noise Statistic for Feature-Based SLAM Algorithm Heru Suwoyo
Journal FORTEI-JEERI Vol. 2 No. 1 (2021): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v2i1.22

Abstract

The unknown noise statistic might degrade the Filter performance or even lead to filter divergence. Accordingly, to enhance the classical EKF to approximate the recursive process and measurement noise statistic, based on Maximum A Posteriori creation and Weighted Exponent (WE) as the divergence suppression method, abbreviated as MAPWE, an adaptive EKF is proposed through this paper. Moreover, the existence of simplification during estimating noise statistics under MAP creation might also degrade its quality. Thus, the suboptimal MAP solution was also estimated based on Weighted Exponent. Indeed, the time-varying noise statistic under this process seems strongly accurate. But the complexity of the measurement covariance might also diverge from its positive definite characteristic. Thus, aiming to prevent this condition, the additional divergence suppression method was also involved in correcting the error state covariance in the smoothing step. This improvement is then used as SLAM algorithm for a mobile robot. Comparing to the conventional methods, it is better in term of RMSE for the estimated path and estimated map.
Co-Authors Abdurohman Abdurohman Adriansyah, Andi Andi Adriansyah Andi Adriansyah Andi Adriansyah Andi Adriansyah Andi Adriansyah Chenwei Deng Deng, Chenwei Fahrudin Fahrudin Fajri Rezki Hutomo Febriandirza, Arafat Fengfeng Xi Ferryawan Harris Kristanto Guangjie Yuan Hossain, Md Musabbir Ibnu Hajar, Muhammad Hafizd Julpri Andika Julpri Andika Ketty Siti Salamah Li, Long Long Li Long Li Md Musabbir Hossain Muhammad Hafizd Ibnu Hajar Muhammad Hafizd Ibnu Hajar Muhammad Hafizd Ibnu Hajar Muhammad Hafizd Ibnu Hajar Muhammad Hafizd Ibnu Hajar Muhammad Hafizd Ibnu Hajar Muhammad Yusuf Prastika Indriyanti Rachmat Muwardi Raudah Alfiani Taufik Hidayat Thathit Gumilar Triwidya Mochtar Thong, Zhou Tian, Yingzhong Tian, Yingzhong Tong Zhou Triyanto Pangaribowo Wang, Wenbin Wenbin Wang Wenbin Wang Yifan Li Yingzhong Tian Yingzhong Tian Yingzhong Tian Yingzhong Tian Yingzhong Tian Yudhi Gunardi Zendi Iklima Zhou Thong