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Adaptive Critic Neural Networks for Identification of Wheeled Mobile Robot

  • Zenon Hendzel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)

Abstract

A new applications of adaptive critic identifier for wheeled mobile robot is presented. In this approach the architecture of adaptive critic identifier contains a neural network (NN) based adaptive critic element (ACE) generating the reinforcement signal to tune the associative search element (ASE), which is applied to approximate nonlinear functions of the mobile robot. The proposed system identification that can guarantee tracking performance and stability is derived from the Lyapunov stability theory. Computer simulation have been conducted to illustrate the performance of the proposed solution by a series of experiments on the emulator of wheeled mobile robot Pioneer-2DX.

Keywords

Mobile Robot Lyapunov Stability Theory Layer Neural Network Wheel Mobile Robot Adaptive Critic 
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 Berlin Heidelberg 2006

Authors and Affiliations

  • Zenon Hendzel
    • 1
  1. 1.Department of Applied Mechanics and RoboticsRzeszow University of TechnologyRzeszowPoland

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