Comparison of neural networks based direct inverse control systems for a double propeller boat model

Karlisa Priandana; Wahidin Wahab; Benyamin Kusumo Putro

doi:10.1145/3033288.3033299

Comparison of neural networks based direct inverse control systems for a double propeller boat model

Karlisa Priandana, Wahidin Wahab, Benyamin Kusumo Putro

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper presents the thorough evaluation and analysis on the direct inverse neural networks based controller systems for a double-propeller boat model. Two direct inverse controller systems that were designed with and without feedback were implemented on a double propeller boat model using two neural networks based control approaches, namely the back-propagation based neural controller (BPNN-controller) and the selforganizing maps based neural controller (SOM-controller). Then, the resulted control errors of the systems were compared. Simulation results revealed that the direct inverse control without feedback produced lower error compared to the direct inverse control with feedback. Another important finding from the study was that the SOM-controller is superior to the BPNN-controller in terms of control error and training computational cost.

Original language	English
Title of host publication	Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016
Publisher	Association for Computing Machinery
Pages	310-315
Number of pages	6
ISBN (Electronic)	9781450347938
DOIs	https://doi.org/10.1145/3033288.3033299
Publication status	Published - 17 Dec 2016
Event	5th International Conference on Network, Communication and Computing, ICNCC 2016 - Kyoto, Japan Duration: 17 Dec 2016 → 21 Dec 2016

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	5th International Conference on Network, Communication and Computing, ICNCC 2016
Country	Japan
City	Kyoto
Period	17/12/16 → 21/12/16

Keywords

Backpropagation
Boat control system
Direct inverse control
Neural network controller
Self-organizing maps

Access to Document

10.1145/3033288.3033299

Link to publication in Scopus

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Cite this

Priandana, K., Wahab, W., & Putro, B. K. (2016). Comparison of neural networks based direct inverse control systems for a double propeller boat model. In Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016 (pp. 310-315). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3033288.3033299

Priandana, Karlisa ; Wahab, Wahidin ; Putro, Benyamin Kusumo. / Comparison of neural networks based direct inverse control systems for a double propeller boat model. Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016. Association for Computing Machinery, 2016. pp. 310-315 (ACM International Conference Proceeding Series).

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abstract = "This paper presents the thorough evaluation and analysis on the direct inverse neural networks based controller systems for a double-propeller boat model. Two direct inverse controller systems that were designed with and without feedback were implemented on a double propeller boat model using two neural networks based control approaches, namely the back-propagation based neural controller (BPNN-controller) and the selforganizing maps based neural controller (SOM-controller). Then, the resulted control errors of the systems were compared. Simulation results revealed that the direct inverse control without feedback produced lower error compared to the direct inverse control with feedback. Another important finding from the study was that the SOM-controller is superior to the BPNN-controller in terms of control error and training computational cost.",

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Priandana, K, Wahab, W & Putro, BK 2016, Comparison of neural networks based direct inverse control systems for a double propeller boat model. in Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 310-315, 5th International Conference on Network, Communication and Computing, ICNCC 2016, Kyoto, Japan, 17/12/16. https://doi.org/10.1145/3033288.3033299

Comparison of neural networks based direct inverse control systems for a double propeller boat model. / Priandana, Karlisa; Wahab, Wahidin ; Putro, Benyamin Kusumo.

Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016. Association for Computing Machinery, 2016. p. 310-315 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Priandana K, Wahab W , Putro BK. Comparison of neural networks based direct inverse control systems for a double propeller boat model. In Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016. Association for Computing Machinery. 2016. p. 310-315. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3033288.3033299