2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2020
DOI: 10.1109/iciea48937.2020.9248167
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Online optimal control for nonlinear fin stabilizer system of marine vessels via time-based ADP algorithm

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Cited by 2 publications
(2 citation statements)
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“…Research on fin stabilizers is divided into 3 major parts, namely optimization of life force [9][10] [11], fin movement control system [12][13][14] [15], area and angle and zero speed [16] [17]. Several optimization methods have also been used in the selection of fin stabilizers such as the TOPSIS method (a Technique for Order Preference based on Similarity to the Ideal Solution), Analytic Hierarchy Process(AHP) and Entropy Weighting Method (EWM) [18], Adaptive Dynamic Programming (ADP) [19] recurrent neural network (RNN) [20]. All research is done to improve good anti-rolling ability by making the appendages resistance caused by fin stabilizer as small as possible.…”
Section: Basic Theorymentioning
confidence: 99%
“…Research on fin stabilizers is divided into 3 major parts, namely optimization of life force [9][10] [11], fin movement control system [12][13][14] [15], area and angle and zero speed [16] [17]. Several optimization methods have also been used in the selection of fin stabilizers such as the TOPSIS method (a Technique for Order Preference based on Similarity to the Ideal Solution), Analytic Hierarchy Process(AHP) and Entropy Weighting Method (EWM) [18], Adaptive Dynamic Programming (ADP) [19] recurrent neural network (RNN) [20]. All research is done to improve good anti-rolling ability by making the appendages resistance caused by fin stabilizer as small as possible.…”
Section: Basic Theorymentioning
confidence: 99%
“…When sailing in rough sea conditions, the ship stability is affected by roll motion, determine exact dynamics forces that affect to the vessel motions is very difficult, in this paper, we study the stability of the vessel in relative to roll motion. So, the ship nonlinear active fin model is given as [23], [24].…”
Section: Preliminariesmentioning
confidence: 99%