The residual based extended least squares identification method for dual-rate systems
In this paper, we focus on a class of dual-rate sampled-data systems in which all the inputs u(t) ire available at each instant while only scarce Outputs y(qt) can be measured (q being an integer more than unity). To estimate the parameters of such dual-rate systems, we derive a mathematical model by using the polynomial transformation technique, and apply the extended least squares algorithm to identify the dual-rate systems directly from the available input-output data {u(t),y(qt)}. Then, we study the convergence properties of the algorithm in details. Finally, we give an example to test and illustrate the algorithm involved. (c) 2008 Elsevier Ltd. All rights reserved.
least squares dual-rate systems convergence properties multirate systems parameter estimation