17th International Symposium on
Mathematical Theory of Networks and Systems
Kyoto International Conference Hall, Kyoto, Japan, July 24-28, 2006

MTNS 2006 Paper Abstract

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Paper TuP09.4

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

Parameter Convergence of a Continuous-Time Model Estimation Method by Using Adaptive Observer

Scheduled for presentation during the Regular Session "Linear System Identification II" (TuP09), Tuesday, July 25, 2006, 16:35−17:00, Room J

17th International Symposium on Mathematical Theory of Networks and Systems, July 24-28, 2006, Kyoto, Japan

This information is tentative and subject to change. Compiled on June 23, 2024

Keywords Linear system identification, Adaptive signal processing, Sampled-data control

Abstract

In this paper, a continuous-time model estimation method by usign adaptive observer from sampled I/O data with the ZOH input assumption is considered. The proposed method utilizes modified state variable filters in order to estimate the intersample signals. A sufficient condition for the exponential convergence of the estimated parameter is analyzed.