From Structurally Independent Local LTI Models to LPV Model

Qinghua Zhang 1 Lennart Ljung 2
1 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
Abstract : The local approach to linear parameter varying (LPV) system identification consists in interpolating individually estimated local linear time invariant (LTI) models corresponding to fixed values of the scheduling variable. It is shown in this paper that, without any global structural assumption of the considered LPV system, individually estimated local state-space LTI models do not contain sucient information for determining similarity transformations making them coherent. It is possible to estimate these similarity transformations from input-output data under appropriate excitation conditions.
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Qinghua Zhang, Lennart Ljung. From Structurally Independent Local LTI Models to LPV Model. Automatica, Elsevier, 2017, 84, pp.232-235. ⟨10.1016/j.automatica.2017.06.006⟩. ⟨hal-01635096⟩

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