Multivariable system identification with noisy data

The identification procedure presented uses input/output data to establish, not only the system order, but also the minimal number of parameters required for representation. After a development of the method, an example is presented to illustrate the relative numerical accuracy with respect to addit...

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Bibliographic Details
Main Authors: Bingulac, S., VanLandingham, H.F.
Format: Conference Proceeding
Language:English
Subjects:
Additive noise
Control theory
Linear systems
MIMO
Observability
State-space methods
System identification
Online Access:Request full text
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Description
Summary:The identification procedure presented uses input/output data to establish, not only the system order, but also the minimal number of parameters required for representation. After a development of the method, an example is presented to illustrate the relative numerical accuracy with respect to additive data noise. In the process the related problem of relative observability of system modes is discussed.< >
DOI:10.1109/ICSMC.1992.271716