Dynamically Positioned Ship Steering Making Use of Backstepping Method and Artificial Neural Networks
Witkowska, Anna, Rynkiewicz, Tacjana Niksa
Monitoring the Gas Turbine Start-Up Phase on a Platform Using a Hierarchical Model Based on Multi-Layer Perceptron Networks
Niksa-Rynkiewicz, Tacjana, Witkowska, Anna, Głuch, Jerzy, Adamowicz, Marcin
Adaptive Backstepping Tracking Control for an over–Actuated DP Marine Vessel with Inertia Uncertainties
Witkowska, Anna, Śmierzchalski, Roman
Analysis of Impact of Ship Model Parameters on Changes of Control Quality Index in Ship Dynamic Positioning System
Rynkiewicz, Tacjana Niksa, Witkowska, Anna
An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks
Niksa-Rynkiewicz, Tacjana, Stomma, Piotr, Witkowska, Anna, Rutkowska, Danuta, Słowik, Adam, Cpałka, Krzysztof, Jaworek-Korjakowska, Joanna, Kolendo, Piotr
Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network
Niksa-Rynkiewicz, Tacjana, Szewczuk-Krypa, Natalia, Witkowska, Anna, Cpałka, Krzysztof, Zalasiński, Marcin, Cader, Andrzej
Dynamic Positioning Capability Assessment Based on Optimal Thrust Allocation
Piekło, Agnieszka, Witkowska, Anna, Zubowicz, Tomasz
A Backstepping Approach to Ship Course Control
Witkowska, Anna, Tomera, Miroslaw, Śmierzchalski, Roman
Designing a ship course controller by applying the adaptive backstepping method
Witkowska, Anna, Śmierzchalski, Roman