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Parameter estimation on linear time-varying systems
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DOI：10.1016/j.jfranklin.2011.02.007.png)
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Abstract
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This paper studies parameter estimation for a class of linear, continuous, time-varying dynamic systems whose state-space model's matrices are affine combinations of static matrix coefficients and the aforementioned time-varying scalar parameters. It is assumed that the coefficient matrices are all known, that the state is mensurable, and that the parameters are bounded piecewise continuous functions of time. Estimation methods are developed from basic equations for a single parameter first, and later extended to multiple parameters. (C) 2011 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keywords:
STATE-FEEDBACK
STABILITY
INTERPOLATION
DESIGN
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