Neural networks as controllers

  • Avner Friedman
Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 67)


Control of automobile engine operating under idle conditions, must operate far away from its optimal region of operation. The idling is highly nonlinear time-varying process influenced by electric loads, shifting from neutral to drive in automatic transmissions, and other periodic or random disturbances. Regulating the engine control by using physical modeling and traditional adaptive control is a difficult problem, because there are a number of unknown variables in the physical model, and because of random disturbances. This is precisely a situation where neural network control might offer an alternate and more effective approach.


Neural Network Hide Layer Automatic Transmission Recurrent Network Neural Network Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag New York, Inc. 1995

Authors and Affiliations

  • Avner Friedman
    • 1
  1. 1.Institute for Mathematics and its ApplicationsUniversity of MinnesotaMinneapolisUSA

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