Tip Tracking of a Flexible-Link Manipulator with Radial Basis Function and Fuzzy System

  • Yuangang Tang
  • Fuchun Sun
  • Zengqi Sun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3498)


With output redefinition of flexible-link manipulators an adaptive controller for tip tracking is presented based on radial basis function network (RBFN) and fuzzy system. The uniformly asymptotical stability (UAS) of control system is guaranteed by the Lyapunov analysis and the adaptive laws including the centers and widths of Gaussian functions and coefficients of Takagi-Sugeno (TS) consequences can make the tracking error converge to zero. For comparison purpose, an RBFN controller with fixed centers and widths is also designed. The simulation results show that with similar performances the proposed controller can give smoother input torques than the conventional RBFN one.


Fuzzy System Radial Basis Function Network Flexible Manipulator Flexible Link Uniformly Asymptotical Stability 
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 2005

Authors and Affiliations

  • Yuangang Tang
    • 1
  • Fuchun Sun
    • 1
  • Zengqi Sun
    • 1
  1. 1.State Key Lab of Intelligent Technology and Systems, Department of Computer Science and TechnologyTsinghua UniversityBeijingChina

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