14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper ThB3.5

Ikeda, Kenji (The Univ. of Tokushima), Mogami, Yoshio (The Univ. of Tokushima), Shimomura, Takao (The Univ. of Tokushima)

Discrete-Time State Variable Filters for the Estimation of a Continuous-Time Model

Scheduled for presentation during the Regular Session "Identification of Continuous Time Systems" (ThB3), Thursday, March 30, 2006, 16:50−17:10, Hunter Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on September 24, 2018

Keywords Continuous Time System Estimation, Recursive Identification


This paper proposes a continuous-time model estimation method from sampled I/O data with the ZOH input assumption. State variable filters are modified in order to estimate the intersample signals by using a previously obtained parameter estimate. A sufficient condition for the parameter convergence and the bias of the estimated parameters are analyzed.