Neural Processing Letters

, Volume 8, Issue 2, pp 99–106 | Cite as

Trajectory Control of Convergent Networks

  • N. Peterfreund
  • Y. Baram


We present a class of feedback control functions which increase the convergence rates of nonlinear dynamical systems. A simple sign function is used to obtain convergence in finite time. We describe a trajectory learning procedure which preserves the convergence property of the system. Based on the proposed feedback, we developed a new neural network model which converges in finite time.

dynamical neural networks feedback control finite time convergence Lasalle theorem learning trajectory control 


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Copyright information

© Kluwer Academic Publishers 1998

Authors and Affiliations

  • N. Peterfreund
    • 1
  • Y. Baram
    • 2
  1. 1.Oak Ridge National LabOak Ridge
  2. 2.Department of Computer Science, TechnionIsrael Institute of TechnologyHaifa o[32000Israel. Tel(USA)

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