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TECHNICAL BRIEFS

Adaptive Estimation of Time-Varying Parameters in Linearly Parametrized Systems

[+] Author and Article Information
Yongliang Zhu

School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, OK 74078

Prabhakar R. Pagilla1

School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, OK 74078pagilla@ceat.okstate.edu

1

Corresponding author.

J. Dyn. Sys., Meas., Control 128(3), 691-695 (Jul 19, 2005) (5 pages) doi:10.1115/1.2234488 History: Received January 27, 2004; Revised July 19, 2005

Adaptive estimation of time-varying parameters in linearly parametrized systems is considered. The estimation time is divided into small intervals; in each interval the time-varying parameter is approximated by a time polynomial with unknown coefficients. A condition for resetting of the parameter estimate at the beginning of each interval is derived; the condition guarantees that the estimate of the time-varying parameter is continuous and also allows for the coefficients of the polynomial to be different in various time intervals. A modified version of the least-squares algorithm is provided to estimate the time-varying parameters. Stability of the proposed algorithm is shown and discussed. Simulation results on an example are given to validate the proposed method.

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Copyright © 2006 by American Society of Mechanical Engineers
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Grahic Jump Location
Figure 1

Local polynomial approximation of continuous function

Grahic Jump Location
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