TY - JOUR ID - 3654 TI - Adaptive critic-based neuro-fuzzy controller for dynamic position of ships JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Hatami, E. AU - Salarieh, H. AD - Department of Energy Engineering, Sharif University of Technology, Tehran, Iran. AD - Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran. Y1 - 2015 PY - 2015 VL - 22 IS - 1 SP - 272 EP - 280 KW - Adaptive critic-based design KW - Neuro-fuzzy controller KW - Dynamic position KW - Ship control DO - N2 - In this paper, three adaptive critic-based neuro-fuzzy controllers are presented for improving attitude and position control of ships. The controllers include vessel position and heading errors and their derivatives as inputs. Three critic based reinforcement learning methods evaluate the situations of the ship in terms of satisfactory achievements of the ontrol goals. The critic agent output, namely the reinforcement signal, is a measure of the controlled system stress. The controller modi es its characteristics in a way that the critic stress is decreased. The proposed controller has a simple structure and shows satisfactory transient responses and robustness to model uncertainty UR - https://scientiairanica.sharif.edu/article_3654.html L1 - https://scientiairanica.sharif.edu/article_3654_bf79bcaa412e8e68054222e231b77233.pdf ER -