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Robust Adaptive Neural Network Control for Wheeled Inverted Pendulum with Input Saturation

  • Enping Wei
  • Tieshan Li
  • Yancai Hu
Conference paper
  • 3.3k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7952)

Abstract

In this paper, a novel control design is proposed for wheeled inverted pendulum with input saturation. Based on Lyapunov synthesis method, backstepping design procedure and the Neural network (NN) approximation to the uncertainty of the system, the adaptive NN tracking controller is constructed by considering actuator saturation constraints. The stability analysis subject to the effect of input saturation constrains are conducted with the help of an auxiliary design system. The proposed controller guarantees uniformly ultimately bounded of all the signals in the closed-loop system, while the tracking error can be made arbitrarily small. Simulation studies are given to illustrate the effectiveness and the performance of the proposed scheme.

Keywords

wheeled inverted pendulum backstepping design neural network (NN) input saturation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Enping Wei
    • 1
  • Tieshan Li
    • 1
  • Yancai Hu
    • 1
  1. 1.Navigational CollegeDalian Maritime UniversityDalianChina

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