ANN and Elements of Differentional Games in the Model of Regulated Wheel Slippage Process in a Braking Mode

EasyChair Preprint no. 2875

Abstract

Processes of braking system operations of the ground wheeled vehicle are complex nonlinear dynamic processes. When a problem of modeling vehicle braking process is setting it is considered rational to set the one in a form of the antagonistic differential game and to represent one of the antagonists – the road surface – in a form of unknown disturbance. It is considered rational to choose an artificial neural network (ANN) as a control element and flexible approximator that has properties of self-learning.

Keyphrases: braking, control, differentional game, Fuzzy, neural network, Optimization

@Booklet{EasyChair:2875,
  author = {Alexey Fedin and Yaroslav Kalinin and Evgeniy Marchuk},
  title = {ANN and Elements of Differentional Games in the Model of Regulated Wheel Slippage Process in a Braking Mode},
  howpublished = {EasyChair Preprint no. 2875},

  year = {EasyChair, 2020}}