@inproceedings{ce64e3af4f5144d385fb9c13bf84e0f3,
title = "Performance analysis of a backpropagation neural controller system for a double-propeller boat model",
abstract = "This paper aims to analyze the performance of Backpropagation (BPNN)-controller system for an autonomous double-propeller boat model in terms of its settling time, in addition to the commonly analyzed control error. It is found that for a direct inverse neural controller system, the control error is highly affected by the required settling time, where most of the control errors are observed at the beginning of the control process.",
keywords = "Backpropagation, Boat, Control system, Direct inverse control, Neural network controller, USV",
author = "Karlisa Priandana and Putro, {Benyamin Kusumo}",
year = "2018",
month = jan,
day = "8",
doi = "10.1109/ISEMANTIC.2017.8251873",
language = "English",
series = "Proceedings - 2017 International Seminar on Application for Technology of Information and Communication: Empowering Technology for a Better Human Life, iSemantic 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "221--226",
booktitle = "Proceedings - 2017 International Seminar on Application for Technology of Information and Communication",
address = "United States",
note = "2017 International Seminar on Application for Technology of Information and Communication, iSemantic 2017 ; Conference date: 07-10-2017 Through 08-10-2017",
}