论文信息 - Analysis of Artificial Neural Networks for Pattern-Based Adaptive Control

Analysis of Artificial Neural Networks for Pattern-Based Adaptive Control

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

Tor Arne Johansen | Daniel G. Sbarbaro-Hofer

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