Affine estimation has emerged as a promising technique toreduce the mean squared error (MSE) between the estimated parametersand the true value of these parameters. The aim of this paper is to obtainan affine estimator for ...

The problem of biased affine estimation is discussed in the present paper. Affine estimation is a technique for improving parameter estimation through the inclusion of a-priori information in a non-bayesian setting. Here, ...

We study the problem of distributed estimation based on the affine projection algorithm (APA), which is developed from Newton`s method for minimizing a cost function. The proposed solution is formulated to ameliorate the ...

Affine biased estimation is particularly useful when there is some a-priori knowledge on the parameters that can be exploited in adverse situations (when the number of samples is low, or the noise is high). Three different ...

In the context of dynamical systems, time series analysis is frequently used to identify the underlying nature of a phenomenon of interest from a sequence of observations. For signals with a self-affine structure, like ...

This paper deals with an unusual application for a copolymer of styrene-1 % divinylbenzene bearing high amount of aminomethyl groups for anion-exchange and affinity chromatography. The so-called aminomethyl resin (AMR), ...

This paper deals with the problem of establishing a state estimator for switched affine systems. For that matter, a modification on the Luenberger observer is proposed, the switched Luenberger observer, whose idea is to ...