Targeting using global models built from nonstationary data

We show how to perform targeting control using global models derived from data coming from possibly nonstationary dynamical systems where the varying parameters are known along with the system observations. We first identify a global model from the observations and the values of the accessible param...

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Bibliographic Details
Published in:Physics letters. A 1997-07, Vol.231 (5), p.367-372
Main Authors: Cao, Liangyue, Judd, Kevin, Mees, Alistair
Format: Article
Language:English
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Summary:We show how to perform targeting control using global models derived from data coming from possibly nonstationary dynamical systems where the varying parameters are known along with the system observations. We first identify a global model from the observations and the values of the accessible parameters. To carry out the control, we successively apply the usual targeting algorithm to the model system to get a perturbation of the accessible parameters for a given starting point and targeting point, then apply this perturbation to the true system to generate a new starting point. Because our model is approximate, we repeat the targeting and perturbation steps until the observed trajectory is near the target point.
ISSN:0375-9601
1873-2429
DOI:10.1016/S0375-9601(97)00325-3