14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract

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Paper ThB3.4

Kim, Tae-Hyoung (Kyoto Univ.), Zheng, Xiaoguang (Kyoto Univ.), Sugie, Toshiharu (Kyoto Univ.)

Noise Tolerant Identification of Continuous-Time Systems with Unknown Constant Input Disturbance Using ILC Method

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

Abstract

This paper considers the problem of noise tolerant identification of a class of continuous-time systems with unknown constant-input disturbance. To this aim, we first propose an extended formulation of identification method using iterative learning control (ILC) scheme based on sampled I/O data in the presence of measurement noise. The proposed ILC method has distinctive features as follows. Its learning law works in the prescribed finite dimensional parameter space and employs I/O data of all past trials efficiently. Also the time-derivative of tracking error is not required. Then, it is presented how the parameter estimation can be achieved by the proposed ILC method and how robust it is against measurement noise through numerical examples.