Results 191 to 200 of about 484,208 (213)

Distributed set-membership estimation for automated straddle carriers using smart sensors

Transactions of the Institute of Measurement and Control
Considering the harsh environment of the port, automated straddle carriers, characterized by their large size, tall frame, and high center of gravity, may experience instability during steering and transportation due to inaccurate state estimation. Thus,
Yang Chen, Yilian Zhang, Nan Xia, Wangqiang Niu, Qinqin Fan   +4 more
semanticscholar   +1 more source

On the Sample Complexity of Set Membership Estimation for Linear Systems with Disturbances Bounded by Convex Sets

American Control Conference
This paper revisits the set membership identification for linear control systems and establishes its convergence rates under relaxed assumptions on (i) the persistent excitation requirement and (ii) the system disturbances.
Haonan Xu, Yingying Li
semanticscholar   +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

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
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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
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Robust Parameter Estimation for Linear Models with Set-membership Uncertainty

IFAC Proceedings Volumes, 1988
Abstract 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, 1992
Abstract 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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Recursive Set-Membership Parameter Estimation Using Fractional Model

Circuits, Systems, and Signal Processing, 2015
This paper deals with time-domain set-membership parameter estimation using fractional model in case of unknown-but-bounded equation error with a priori known noise bounds. In such bounded-error context, the main goal is to characterize the set of all feasible parameters compatible with the model, the measured data and some prior error bounds.
openaire   +1 more source