Results 161 to 170 of about 263,212 (196)

Set-membership estimation for adaptive signal processing

1991 IEEE International Symposium on Circuits and Systems (ISCAS), 1991
The authors give a brief overview of the problem of set-membership estimation in adaptive signal processing. Recently, there seems to be a resurgence of interest in these types of estimation schemes as they feature 100% confidence regions for parameter estimates. Some of these recursive schemes also feature selective updating.
A.K. Rao, Y.-F. Kuang
openaire   +1 more source

Unfalsified weighted least squares estimates in set-membership identification

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1997
It is well known that the weighted least squares (WLS) identification algorithm provides estimates that are in general not in the membership set and in this sense are falsified estimates. This paper shows that: (1) if the noise bound is known, the WLS estimates can be made to lie in or converge to the membership set by choosing the weights properly and
Bai, EW, Qiu, L., Tempo, R.
openaire   +3 more sources

Estimation Theory for Nonlinear Models and Set Membership Uncertainty

Automatica, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Milanese M., Vicino A.
openaire   +4 more sources

Outlier‐robust set‐membership estimation for discrete‐time linear systems

International Journal of Robust and Nonlinear Control, 2021
AbstractIn many industrial applications, physical equipment for measuring may suffer from transient malfunctions, which can cause data outliers. This article addresses the problem of guaranteed set‐membership estimation of uncertain linear systems subject to outliers in measurements.
Chen, Aijun, Ngoc Dinh, Thach, Raissi, Tarek, Shen, Yi   +3 more
openaire   +1 more source

Particle Filters for Set-membership State Estimation

2006 SICE-ICASE International Joint Conference, 2006
This paper proposes a new way of using particle filters for set-membership state estimation problems. For nonlinear state estimation problems, stochastic particle filters have been proposed which maintain a large number of solution candidates by using Monte-Carlo simulation. Set-membership approach for state estimation is an alternative method that is,
openaire   +1 more source

Set membership estimation of day-ahead microgrids scheduling

2019 18th European Control Conference (ECC), 2019
The net power output of a MicroGrid (MG) is often scheduled using optimization-based strategies. Recently, the new figure of the Aggregator (AG) has been introduced with the role of intermediate broker in the energy market, efficiently managing the interaction between a cluster of MGs and the system operators.
La Bella, A, Fagiano, L, Scattolini, R
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Induced-norm state estimation: The set membership viewpoint

1997 European Control Conference (ECC), 1997
This paper studies optimal induced-norm state estimation for linear systems subject to norm bounded process noise and measurement errors. A framework based on Information Based Complexity is introduced to generate a set membership interpretation of the l 2 − l 2 and l 2 − l ∞ state estimation problems.
A. Garulli, A. Vicino, G. Zappa
openaire   +1 more source

Recursive membership set estimation for output-error models

Mathematics and Computers in Simulation, 1990
Abstract In this paper a new formulation of the problem of identification of discrete time linear models in the case of bounded errors is proposed. The bounds of the error at each sampling time are specified over a measurement noise rather than over an equation error. The method provides parameter uncertainty intervals using an on-line procedure.
Thierry Clement, Sylviane Gentil
openaire   +1 more source

Zonotope-based set-membership estimation for Multi-Output uncertain systems

2013 IEEE International Symposium on Intelligent Control (ISIC), 2013
This paper presents an improved technique for guaranteed zonotopic state estimation of Multi-Output discrete-time linear-time invariant systems subject to unknown but bounded disturbances and measurement noises, in the presence of interval uncertainties.
Le, Vu Tuan Hieu, Stoica, Cristina, Alamo, T., Camacho, E.F., Dumur, Didier   +4 more
openaire   +2 more sources

Parameter estimation algorithms for a set-membership description of uncertainty

Automatica, 1990
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BELFORTE, GUSTAVO, BONA, Basilio, CERONE, Vito   +2 more
openaire   +3 more sources