TY - GEN
T1 - Comparison of neural networks based direct inverse control systems for a double propeller boat model
AU - Priandana, Karlisa
AU - Wahab, Wahidin
AU - Putro, Benyamin Kusumo
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/12/17
Y1 - 2016/12/17
N2 - 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.
AB - 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.
KW - Backpropagation
KW - Boat control system
KW - Direct inverse control
KW - Neural network controller
KW - Self-organizing maps
UR - http://www.scopus.com/inward/record.url?scp=85018335120&partnerID=8YFLogxK
U2 - 10.1145/3033288.3033299
DO - 10.1145/3033288.3033299
M3 - Conference contribution
AN - SCOPUS:85018335120
T3 - ACM International Conference Proceeding Series
SP - 310
EP - 315
BT - Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016
PB - Association for Computing Machinery
T2 - 5th International Conference on Network, Communication and Computing, ICNCC 2016
Y2 - 17 December 2016 through 21 December 2016
ER -