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Identification and Control of a Car Speed Dynamics Using Artificial Intelligence

  • Vlad MuresanEmail author
  • Valentin Sita
  • Iulia Clitan
  • Adrian Barstan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11308)

Abstract

The paper proposes an original solution to identify and control the speed dynamics of a car, using neural networks. The neural network which models the car speed is trained based on experimental input-output data sets which were obtained from a real car. In this purpose, during the experiment, all the signals which are important for the car dynamics are measured. Based on the determined neural reference model of the car dynamics, a car speed control strategy is proposed. In the paper, the simulations of the car dynamics, both in open and in closed loop, are presented, the efficiency of the applied methods being proved.

Keywords

Car speed Neural network Control structure Reference model Artificial intelligence Simulation 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Vlad Muresan
    • 1
    Email author
  • Valentin Sita
    • 1
  • Iulia Clitan
    • 1
  • Adrian Barstan
    • 1
  1. 1.Technical University of Cluj-NapocaCluj-NapocaRomania

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