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

fYear

1994

fDate

29 Nov-2 Dec 1994

Firstpage

66

Lastpage

70

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ANZIIS.1994.396948

Filename

396948