Title :
Truck backer-upper control using neuro-fuzzy systems
Author :
Khorsheed, M. ; Ahson, S.I. ; Al-Suliman, M.A.
Author_Institution :
Dept. of Comput. Eng., King Saud Univ., Riyadh, Saudi Arabia
fDate :
29 Nov-2 Dec 1994
Abstract :
In this paper, we propose a new architecture for a neuro-fuzzy controller. This controller consists of two main elements : (i) a fuzzy controller which employs uniform symmetric triangular fuzzy (USTF) sets as membership functions, and (ii) a backpropagation neural network which acts as a modifier of the rule base. The neuro-fuzzy controller is applied to a truck backer-upper (reversing) system, and its performance is compared with a conventional fuzzy logic controller
Keywords :
backpropagation; fuzzy control; fuzzy set theory; neural net architecture; neurocontrollers; road vehicles; backpropagation neural network; fuzzy logic controller; loading dock; membership functions; neuro-fuzzy controller architecture; performance; reversing system; rule base modifier; truck backer-upper system; uniform symmetric triangular fuzzy sets; Backpropagation; Computer architecture; Control systems; Educational institutions; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Humans; Neural networks;
Conference_Titel :
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-2404-8
DOI :
10.1109/ANZIIS.1994.396948
