Results 161 to 170 of about 263,212 (196)
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Estimation Theory for Nonlinear Models and Set Membership Uncertainty
Automatica, 1991zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Milanese M., Vicino A.
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Outlier‐robust set‐membership estimation for discrete‐time linear systems
International Journal of Robust and Nonlinear Control, 2021AbstractIn 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 +3 more
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Set membership estimation of day-ahead microgrids scheduling
2019 18th European Control Conference (ECC), 2019The 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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Particle Filters for Set-membership State Estimation
2006 SICE-ICASE International Joint Conference, 2006This 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,
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Induced-norm state estimation: The set membership viewpoint
1997 European Control Conference (ECC), 1997This 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
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Nonlinear set‐membership state estimation based on the Koopman operator
International Journal of Robust and Nonlinear Control, 2022SummaryIn this study, the Koopman operator is applied to solve the challenging nonlinear set‐membership (SM) state estimation problem. The basic idea is to lift the nonlinear system into a linear one with a higher dimension, and then linear SM estimation methods can be adopted.
Zhichao Pan, Fei Liu
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Zonotope-based set-membership estimation for Multi-Output uncertain systems
2013 IEEE International Symposium on Intelligent Control (ISIC), 2013This 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 +4 more
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Parameter estimation algorithms for a set-membership description of uncertainty
Automatica, 1990zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BELFORTE, GUSTAVO +2 more
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Robust Parameter Estimation for Linear Models with Set-membership Uncertainty
IFAC Proceedings Volumes, 1988Abstract In this paper we address the problem of parameter estimation of a linear model y = A λ + ρ where the input matrix A is known and the additive uncertainty ρ is assumed to be unknown but bounded in an l ∞ norm by a given constant ∊. In this case for given data y the set of all admissible parameters λ consistent with the given model ...
BELFORTE, GUSTAVO, TEMPO R, VICINO A.
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Recursive Estimation for Linear Models with Set Membership Measurement ERROR
IFAC Proceedings Volumes, 1992Abstract In this paper attention is restricted to linear systems described by y = Ar + e where the measurement error vector is unknown but bounded. In this context, the behaviour ot two new recursive algorithms for the central and projection estimates determination is investigated.
BELFORTE, GUSTAVO, TAY T. T.
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