Results 21 to 30 of about 484,208 (213)
A probabilistic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding [PDF]
, 2016 Set-membership estimation is usually formulated in the context of set-valued calculus and no probabilistic calculations are necessary. In this paper, we show that set-membership estimation can be equivalently formulated in the probabilistic setting by ...
Benavoli, Alessio, Piga, Dario
core +2 more sources
Asian journal of control, 2023 This paper is concerned with the heading tracking control problem for a network‐based unmanned surface vessel (USV) under wave‐induced disturbances. Considering the characteristics of the wave‐induced disturbances, the unknown‐but‐bounded (UBB) noise ...
Xianwen Zhou +3 more
semanticscholar +1 more source
Collaborative Bearing Estimation Using Set Membership Methods
2023 26th International Conference on Information Fusion (FUSION), 2023 7 pages, 6 figures, Fusion 2023 ...
Zamani, Mohammad +2 more
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Sensors, 2020 This paper presents a new set-membership based hybrid Kalman filter (SM-HKF) by combining the Kalman filtering (KF) framework with the set-membership concept for nonlinear state estimation under systematic uncertainty consisted of both stochastic error ...
Yan Zhao +3 more
doaj +1 more source
Zonotopic Set-Membership State Estimation for Switched LPV Systems
IFAC-PapersOnLine, 2023 This work has been co-financed by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project SaCoAV (ref.
Zhang, Shuang, Puig, Vicenc, Ifqir, Sara
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Distributed State Fusion Estimation of Multi-Source Localization Nonlinear Systems
Sensors, 2023 For the state estimation problem of a multi-source localization nonlinear system with unknown and bounded noise, a distributed sequential ellipsoidal intersection fusion estimation algorithm based on the dual set-membership filtering method is proposed ...
Peng Liu +3 more
doaj +1 more source
Robust set‐membership state estimator against outliers in data [PDF]
IET Control Theory & Applications, 2020 Based on interval computation, a set‐membership state estimator capable to manage a certain type of outliers in measurements is proposed for uncertain discrete‐time linear systems. To achieve this purpose, two set‐valued filtering techniques are implemented in the presented state estimation algorithm.
Nacim Meslem, Ahmad Hably
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Membership-set estimation using random scanning and principal component analysis [PDF]
, 1990 A set-theoretic approach to parameter estimation based on the bounded-error concept is an appropriate choice when incomplete knowledge of observation error statistics and unavoidable structural model error invalidate the presuppositions of stochastic ...
Keesman, Karel
core +4 more sources
Set-membership state estimation with fleeting data [PDF]
Automatica, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Le Bars, Fabrice +3 more
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Distributed Fusion Estimation for the Measurements with Bounded Disturbances
Measurement Science Review, 2022 The information fusion problem is studied for multi-sensor systems in the presence of bounded disturbances. In this paper, a distributed fusion estimation algorithm is proposed based on the set-membership theory, which obtains the overall estimates based
Shen Qiang +4 more
doaj +1 more source