Advanced Search
Article Contents
Article Contents

A neural network based anti-skid brake system

Abstract Related Papers Cited by
  • The novel application of a neural network based adaptive control scheme to an anti-skid brake system (ABS) is presented in this paper. The anti-skid brake system represents a unique and challenging application for neural network based control schemes. The principal benefit of using neural networks in anti-skid brake systems is their ability to adapt to changes in the environmental conditions without a significant degradation in performance. In the proposed approach, the controller neural network is designed to produce a braking torque which regulates the wheel slip for the vehicle-brake system to a prespecified level. An enhanced reference model is proposed which generates the desired slip response and enables a sufficient condition for the convergence of the tracking error to be derived. Simulation studies are performed to demonstrate the effectiveness of the proposed neural network based anti-skid brake system (NN-ABS) for various road surface conditions, inclines in the road, and transition between road surfaces.
    Mathematics Subject Classification: 92B20, 93C10.


    \begin{equation} \\ \end{equation}
  • 加载中

Article Metrics

HTML views() PDF downloads(200) Cited by(0)

Access History

Other Articles By Authors



    DownLoad:  Full-Size Img  PowerPoint