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Pregled bibliografske jedinice broj: 164928

Zbornik radova

Autori: Velagić, Jasmin; Vukić, Zoran
Naslov: The Improving of Neural Network Capabilities in On-Line Identification and Tracking Control of Ship
Izvornik: Proceedings of the 10th IEEE International Conference on Methods and Models in Automation and Robotics : MMAR 2004 ; Vol. 1Szczecin : Wydawnictwo Uczelniane Politechniki Szczecinskiej , 2004. 195-200 (ISBN: 83-88764-09-8).
Skup: 10th IEEE International Conference on Methods and Models in Automation and Robotics(MMAR) - Special Invited Session "Advanced Ship Control Systems"
Mjesto i datum: Miedzyzdroje, Poljska, 30.08.-02.09.2004
Ključne riječi: Neural networks; adaptive learning rate; identification; tracking control
Sažetak:
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
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 0036010
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika



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