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.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
