Results 131 to 140 of about 25,230 (166)

Fast algorithms for recursive identification

1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes, 1976
Recursive identification algorithms are of great interest in control and estimation problems, and related areas such as recursive least squares- and adaptive methods. Recently we have shown how a certain shift invariance inherent in many estimation and control problems can be exploited to obtain fast algorithms that often require orders of magnitude ...
M. Morf, T. Kailath, L. Ljung
openaire   +1 more source

Subgroup identification by recursive segmentation

Journal of Applied Statistics, 2018
A new modeling approach called ‘recursive segmentation’ is proposed to support the supervised exploration and identification of subgroups or clusters.
Alexander Hapfelmeier, Kurt Ulm, Bernhard Haller   +2 more
openaire   +1 more source

Recursive identification for EIV ARMAX systems

Science in China Series F: Information Sciences, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Recursive Identification of Thermal Convection

Journal of Dynamic Systems, Measurement, and Control, 2003
A method is developed for the recursive identification of thermal convection system governed by the Boussinesq equation using an extended Kalman filter. A computationally feasible Kalman filter is constructed by reducing the Boussinesq equation to a small number of ordinary differential equations by means of the Karhunen-Loe`ve Galerkin procedure which
H. M. Park, W. J. Lee
openaire   +1 more source

Recursive Nonlinear Identification

2001
The system identification procedure mainly consists of model structure selection and parameter estimation. The former is concerned with selecting which class of mathematical operator is to be used as a model. The latter is concerned with an estimation algorithm and usually requires input output data from the process, a class of models to be identified ...
openaire   +1 more source

A recursive algorithm for linear system identification

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
This paper deals with the pole-zero identification of a linear system from a measured input-output record. It is shown that the minimization of a modified version of the squared Kalman equation error can be implemented by an order recursive algorithm in the time domain.
openaire   +1 more source

Recursive identification of bilinear systems

International Journal of Control, 1987
Methods of identifying bilinear systems from recorded input-output data are discussed in this article. A short survey of the existing literature on the topic is given. ‘Standard’ methods from linear systems identification, such as least squares, extended least squares, recursive prediction error and instrumental variable methods are transferred to ...
FARHAT FNAIECH, LENNART LJUNG
openaire   +1 more source

Recursive identification of multi-variable interconnected systems

International Journal of Systems Science, 1992
In the field of identification of multi-input multi-output (MIMO) systems, the methods may be divided into two principal groups, according to the model structure: the state-space formulation and the input-output description in terms of transfer functions.
Ragot, José, Mielcarek, Didier
openaire   +2 more sources

Recursive identification for ARMAX systems

2008 27th Chinese Control Conference, 2008
For the multivariate ARMAX systems A(z)yk = B(z)uk + C(z)wk the recursive algorithms are proposed for estimating coefficients of A(z),B(z), and C(z) and the covariance matrix Rw of wk, assuming that the upper bounds for the orders of A(z), B(z), and C(z) are available and the control uk is allowed to choose for the identification purpose.
openaire   +1 more source

An efficient recursive identification algorithm for multilinear systems based on tensor decomposition

International Journal of Robust and Nonlinear Control, 2021
Yanjiao Wang, Ling Yang
exaly