Browse Publications Technical Papers 2003-01-0356
2003-03-03

Feedback Error Learning Neural Networks for Air-to-Fuel Ratio Control in SI Engines 2003-01-0356

A controller is introduced for air-to-fuel ratio management, and the control scheme is based on the feedback error learning method. The controller consists of neural networks with linear feedback controller. The neural networks are radial basis function network (RBFN) that are trained by using the feedback error learning method, and the air-to-fuel ratio is measured from the wide-band oxygen sensor. Because the RBFNs are trained by online manner, the controller has adaptation capability, accordingly do not require the calibration effort. The performance of the controller is examined through experiments in transient operation with the engine-dynamometer.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Transient Simulation of Three-Way Catalytic Converter

2003-01-1871

View Details

TECHNICAL PAPER

A Multi-Objective Recognition Algorithm with Time and Space Fusion

2019-01-1047

View Details

JOURNAL ARTICLE

Construction and Use of Surrogate Models for the Dynamic Analysis of Multibody Systems

2010-01-0032

View Details

X