Adaptive estimation of time-varying parameters in linearly parametrized systems Academic Article

abstract

• Abstract 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.

authors

• Pagilla, Prabhakar

published proceedings

• JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME

author list (cited authors)

• Zhu, Y., & Pagilla, P. R.

citation count

• 21

complete list of authors

• Zhu, Yongliang||Pagilla, Prabhakar R

publication date

• September 2006

publisher

• ASME International  Publisher

published in

• Journal of Dynamic Systems Measurement and Control: Transactions of the ASME  Journal

keywords

• 40 Engineering
• 4007 Control Engineering, Mechatronics And Robotics

Digital Object Identifier (DOI)

• 10.1115/1.2234488

start page

• 691

end page

• 695

volume

• 128

issue

• 3

URL

• http://dx.doi.org/10.1115/1.2234488