Subspace identification for continuous-time stochastic systems via distribution-based approach
Automatica (Journal of IFAC)
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This paper presents a procedure for time variant system identification based on some experimental studies. Some of the system parameters change in time according to unknown laws. These laws are expressed as finite degree time polynomials whose parameters are included in the set of parameters to be identified. Mainly it is an extension of the procedure developed in [1]. The theoretical methods are now applied on some concrete platform. Our paper presents the concretization of some experimental identification methods on experimental workbench from Quanser. HVAC installation is a test installation for controlling temperature in a chamber, and for parameters identification.