By Topic

CMAC neural network controller for fuel-injection systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
H. Shiraishi ; Dept. of Mech. & Aerosp. Eng., Princeton Univ., NJ, USA ; S. L. Ipri ; D. -I. D. Cho

A new automotive fuel-injection controller using the cerebellar model articulation controller (CMAC) neural network is developed and implemented to maintain the engine air-to-fuel ratio at its stoichiometric value. The CMAC controller requires minimal a priori knowledge of the engine dynamics because it can learn the dynamics and adapt to changing conditions in real time. The CMAC controller is experimentally evaluated on a research vehicle in a configuration fully compatible with production hardware. Initial training followed by continual adaptation allows the CMAC controller to maintain desired performance under previously inexperienced driving conditions

Published in:

IEEE Transactions on Control Systems Technology  (Volume:3 ,  Issue: 1 )