Host: The Japan Society of Mechanical Engineers, The Society of Instrument and Control Engineers, The Institute of Systems, Control and Information Engineers, The Society of Chemical Engineers, The Japan Society for Precision Engineering, The Japan Society for Aeronautical and Space Sciences, The Institute of Electrical Engineers of Japan
Co-host: Technically Cosponsored by 51 Societies and Institutes
Name : THE 59TH JAPAN JOINT AUTOMATIC CONTROL CONFERENCE
Location : [in Japanese]
Date : November 10, 2016 - November 12, 2016
This paper addresses the problem of identifying errors-in-variables (EIV) models from closed-loop data. Bias-eliminated least-squares (BELS) method, which does not require the external signal, is derived by using the known information about the controller. The results of a simulated example indicate that the proposed method provides good parameter estimates.