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Prediction error methods for limit cycle data
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DOI：10.1016/S0005-1098(02)00085-7.png)
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Abstract
En 中文
Prediction error methods are considered for identification of the forward linear dynamics of nonlinear feedback closed-loop systems which operate in a perturbed stable limit cycle. A model of the signals measured in a neighborhood of the limit cycle is presented and shown to satisfy a quasistationarity property. Quasistationarity is then used to prove that prediction error methods are both convergent and consistent for our data model. (C) 2002 Elsevier Science Ltd. All rights reserved.
Keywords:
closed-loop identification
limit cycle
prediction error methods
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