A Modified Recursive Identifier Not Requiring Initial Condition Estimates

[+] Author and Article Information
J. M. Mocenigo, A. E. Pearson

Division of Engineering and Lefschetz Center for Dynamical Systems, Brown University, Providence, R.I. 02912

J. Dyn. Sys., Meas., Control 104(3), 264-266 (Sep 01, 1982) (3 pages) doi:10.1115/1.3139706 History: Received November 05, 1980; Online July 21, 2009


A recursive least-squares estimator is developed in an identification observer format with the property that the need for estimating initial conditions is eliminated for time limited data. Estimators are developed that work with observed input/output data corrupted by deterministic, piecewise deterministic, or stochastic noise.

Copyright © 1982 by ASME
Topics: Noise (Sound)
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