A new architecture is proposed for a neuro-fuzzy controller. The controller consists of two main elements: fuzzy controller which employs uniform symmetric triangular fuzzy sets as membership functions, and backpropagation neural network which acts as a modifier of the rule base. The neuro-fuzzy-controller is applied to the truck backer-upper system, and its performance is compared with a conventional fuzzy logic controller. The controller was applied to the control problem of truck backer-upper, where a truck is backed to a loading dock starting from an arbitrary position.
Truck backer-upper control using neuro-fuzzy systems
Eine Neuro-Fuzzy-Regelung für den Rückwärtsparkvorgang eines Fahrzeuges
1994
5 Seiten, 3 Bilder
Conference paper
English
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