Abstract
In this paper, we focus on a class of dual-rate sampled-data systems in which all the inputs u ( t ) are available at each instant while only scarce outputs y ( q t ) 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 ( q t ) } . Then, we study the convergence properties of the algorithm in details. Finally, we give an example to test and illustrate the algorithm involved.
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