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Adaptive Neural Network Controller for Thermogenerator Angular Velocity Stabilization System

Krunoslav Horvat ; Brodarski Institute, Zagreb
Ines Šoić ; Brodarski Institute, Zagreb
Ognjen Kuljača ; Brodarski Institute, Zagreb

Puni tekst: engleski, pdf (676 KB) str. 0-0 preuzimanja: 351* citiraj
APA 6th Edition
Horvat, K., Šoić, I. i Kuljača, O. (2013). Adaptive Neural Network Controller for Thermogenerator Angular Velocity Stabilization System. Brodogradnja, 64 (2), 0-0. Preuzeto s https://hrcak.srce.hr/104494
MLA 8th Edition
Horvat, Krunoslav, et al. "Adaptive Neural Network Controller for Thermogenerator Angular Velocity Stabilization System." Brodogradnja, vol. 64, br. 2, 2013, str. 0-0. https://hrcak.srce.hr/104494. Citirano 08.12.2021.
Chicago 17th Edition
Horvat, Krunoslav, Ines Šoić i Ognjen Kuljača. "Adaptive Neural Network Controller for Thermogenerator Angular Velocity Stabilization System." Brodogradnja 64, br. 2 (2013): 0-0. https://hrcak.srce.hr/104494
Harvard
Horvat, K., Šoić, I., i Kuljača, O. (2013). 'Adaptive Neural Network Controller for Thermogenerator Angular Velocity Stabilization System', Brodogradnja, 64(2), str. 0-0. Preuzeto s: https://hrcak.srce.hr/104494 (Datum pristupa: 08.12.2021.)
Vancouver
Horvat K, Šoić I, Kuljača O. Adaptive Neural Network Controller for Thermogenerator Angular Velocity Stabilization System. Brodogradnja [Internet]. 2013 [pristupljeno 08.12.2021.];64(2):0-0. Dostupno na: https://hrcak.srce.hr/104494
IEEE
K. Horvat, I. Šoić i O. Kuljača, "Adaptive Neural Network Controller for Thermogenerator Angular Velocity Stabilization System", Brodogradnja, vol.64, br. 2, str. 0-0, 2013. [Online]. Dostupno na: https://hrcak.srce.hr/104494. [Citirano: 08.12.2021.]

Sažetak
The paper presents an analytical and simulation approach for the selection of activation functions for the class of neural network controllers for ship’s thermogenerator angular velocity stabilization system. Such systems can be found in many ships. A Lyapunov-like stability analysis is performed in order to obtain a weight update law. A number of simulations were performed to find the best activation function using integral error criteria and statistical T-tests.

Ključne riječi
activation function; adaptive neural network; tracking problem

Hrčak ID: 104494

URI
https://hrcak.srce.hr/104494

Posjeta: 550 *