Title :
Dynamic fuzzy neural control of uncertain surface ships with unknown disturbances
Author :
Wang, N. ; Sun, J.C. ; Liu, Y.C. ; Dai, B.J.
Author_Institution :
Marine Eng. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
In this paper, a dynamic fuzzy neural control (DFNC) scheme for trajectory tracking of a surface ship with unmodeled dynamics and unknown time-varying disturbances is proposed. System uncertainties and unknown dynamics are identified online by a dynamic fuzzy neural network (DFNN) which is implemented by employing dynamic fuzzy rules according to the structure learning criteria. The entire DFNC system is globally asymptotical stable.
Keywords :
asymptotic stability; fuzzy control; fuzzy neural nets; marine control; neurocontrollers; ships; DFNC system; DFNN; dynamic fuzzy neural control; dynamic fuzzy neural network; dynamic fuzzy rules; globally asymptotic stability; structure learning criteria; trajectory tracking; uncertain surface ships; unknown time-varying disturbances; unmodeled dynamics; Approximation methods; Fuzzy neural networks; Marine vehicles; Robustness; Sea surface; Trajectory; Vehicle dynamics; Dynamic Fuzzy Neural Network; Surface Ship; Tracking Control;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053430
