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- Rimantas Pupeikis
- Informatica, Lith. Acad. Sci.
- 1998

the problem of recursive estimation of linear dynamic systems parameters and of the state of such systems in the presence of outliers in observations have been considered. In this connection various ordinary recursive techniques are worked out, when systems output is corrupted by an additive noise with a time homogeneous contamination of outliers. The aim… (More)

- Rimantas Pupeikis
- Informatica, Lith. Acad. Sci.
- 2005

The aim of the given paper is the development of an approach for parametric identification of Wiener systems with piecewise linear nonlinearities, i.e., when the linear part with unknown parameters is followed by a saturation-like function with unknown slopes. It is shown here that by a simple data reordering and by a following data partition the problem of… (More)

- Rimantas Pupeikis
- Informatica, Lith. Acad. Sci.
- 2010

a direct approach for estimating the parameters of a discrete-time linear time-invariant (LTI) dynamic system, acting in a closed-loop in the case of additive noise with contaminating outliers uniformly spread in it, is presented. It is assumed there that the parameters of the LQG (Linear Quadratic Gaussian) controller are unknown, as well as known… (More)

- Rimantas Pupeikis
- Informatica, Lith. Acad. Sci.
- 2006

The aim of the given paper is the development of an approach for parametric identification of Hammerstein systems with piecewise linear nonlinearities, i.e., when the saturation-like function with unknown slopes is followed by a linear part with unknown parameters. It is shown here that by a simple input data rearrangement and by a following data partition… (More)

The aim of the given paper is development of a minimum variance control (MVC) approach for a closed-loop discrete-time linear time-invariant (LTI) system when the parameters of a dynamic system as well as that of a controller are not known and ought to be estimated by processing observations in the case of additive Gaussian noise on the output with… (More)

- Rimantas Pupeikis
- Informatica, Lith. Acad. Sci.
- 2000

The aim of the given paper is a development of the direct approach used for the estimation of parameters of a closed-loop discrete-time dynamic system in the case of additive noise with outliers contaminated uniformly in it (Fig. 1). To calculate M-estimates of unknown parameters of such a system by means of processing input and noisy output observations… (More)

- Rimantas Pupeikis
- Informatica, Lith. Acad. Sci.
- 2000

In the previous paper (Pupeikis, 2000) the problem of closed-loop robust identification using the direct approach in the presence of outliers in observations have been considered. The aim of the given paper is a development of the indirect approach used for the estimation of parameters of a closed-loop discrete-time dynamic system in the case of additive… (More)

- Rimantas Pupeikis
- ITC
- 2011

The aim of the given paper is the development of a recursive approach for parametric identification of Wiener systems with non-invertible piecewise linear function inr the nonlinear block. It is shown here that the problem of parametric identification of a Wiener system could be reduced to a linear parametric estimation problem by a simple input-output data… (More)

- Rimantas Pupeikis
- Informatica, Lith. Acad. Sci.
- 2002

The problem of recursive estimation of a state of dynamic systems in the presence of time-varying outliers in observations to be processed has been considered. A learning phase used in the state estimation is investigated, assuming that the observations of a noisy output signal and that of a training one are given. A technique based on robust filtering by… (More)