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The Improving of Neural Network Capabilities in On-Line Identification and Tracking Control of Ship (CROSBI ID 500278)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Velagić, Jasmin ; Vukić, Zoran The Improving of Neural Network Capabilities in On-Line Identification and Tracking Control of Ship // Proceedings of the 10th IEEE International Conference on Methods and Models in Automation and Robotics : MMAR 2004 ; Vol. 1. Szczecin: Wydawnictwo Uczelniane Politechniki Szczecinskiej, 2004. str. 195-200-x

Podaci o odgovornosti

Velagić, Jasmin ; Vukić, Zoran

engleski

The Improving of Neural Network Capabilities in On-Line Identification and Tracking Control of Ship

The paper proposes a computationally efficient artificial neural network model for on-line system identification of nonlinear systems under the fuzzy closed-loop control system. The proposed backprogagation (BP) algorithm with adaptive learning rate (BPLAR) was tested for both off-line and on-line identification, comparing with traditional backpropagation learning algorithm on nonlinear ship model. The disadvantages of conventional BP algorithm are slower convergence and longer training times. The learning rate is adjusted at each iteration for the on-line weight and bias adaptation to reduce the training time. Simulation results indicate a superior convergence speed and better control performance in the case of adaptive BP method

Neural networks; adaptive learning rate; identification; tracking control

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Podaci o prilogu

195-200-x.

2004.

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objavljeno

83-88764-09-8

Podaci o matičnoj publikaciji

Proceedings of the 10th IEEE International Conference on Methods and Models in Automation and Robotics : MMAR 2004 ; Vol. 1

Szczecin: Wydawnictwo Uczelniane Politechniki Szczecinskiej

Podaci o skupu

10th IEEE International Conference on Methods and Models in Automation and Robotics(MMAR) - Special Invited Session "Advanced Ship Control Systems"

predavanje

30.08.2004-02.09.2004

Międzyzdroje, Poljska

Povezanost rada

Elektrotehnika