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Analysis of Artificial Neural Networks for Pattern-Based Adaptive Control

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2 Author(s)
Sbarbaro, D. ; Dept. of Electr. Eng., Univ. de Concepcion ; Johansen, T.A.

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

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Neural Networks, IEEE Transactions on  (Volume:17 ,  Issue: 5 )