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Unknown input reconstruction for LPV systems
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DOI：10.1002/rnc.1455.png)
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摘要
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Detection and invariant subspaces of unknown inputs' signals for linear parameter-varying systems are examined in the paper. For a class of nonlinear system like this, the effect of unmeasured signals in parameter-varying measurement equation at the plant output is investigated. The main contributions of the paper are the parameter-varying extension of the pseudo-actuation of the possible and generic unknown sensor signal and the proposition of parameter-dependent similarity transformation. The general parameter-varying measurement equation is casted into a parameter-independent form by the similarity transformation, if any. Moreover, it showed that the nonlinear state transformation does not modify the output subspace spanned by the equivalent pseudo-actuator directions. The proposed methods are illustrated by a numerical example. Copyright (C) 2009 John Wiley & Sons, Ltd.
Keyword:
unknown input reconstruction
fault detection filter design
pseudo-actuation
similarity transformation
invariant subspaces
linear parameter-varying systems
期刊
IF:
3.2
论文数:
7.0K
被引数:
1.4W
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