Abstract
This paper describes the latest developments for the CONtinuous-Time System IDentification (CONTSID) toolbox to be run with Matlab. The toolbox supports time-domain identification methods for estimating continuous-time linear and nonlinear models directly from regularly or irregularly sampled data. It now includes additional routines for identifying continuous-time linear models in closed loop, as well as efficient routines for identifying both LPV and Hammerstein-Wiener continuous-time models.
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