Analysis of Artificial Neural Networks for Pattern-Based Adaptive Control

  • Authors:
  • D. Sbarbaro;T. A. Johansen

  • Affiliations:
  • Dept. of Electr. Eng., Univ. de Concepcion;-

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 2006

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Abstract

Adaptive pattern-based control strategies adapt their parameters from an analysis of response patterns exhibited by the system. This work presents an analysis of a class of artificial neural network (ANN) pattern-based adaptive control. It provides conditions under which the adaptive algorithm will converge, and it also characterizes the closed-loop stability properties. In addition, a method for monitoring the adaptation is also proposed. Several simulation examples illustrate our findings