Application of artificial neural networks and fuzzy logics to estimate porosity for Asmari formation
Porosity estimation is one of the essential issues in petroleum industries to distinguish the reservoir characteristics properly. Therefore, it is of importance to predict porosity with the optimum way to reduce the logging tests.
Xiao Li +4 more
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The adaptive extended set-membership filter (AESMF) for nonlinear ellipsoidal estimation suffers a mismatch between real process noise and its set boundaries, which may result in unstable estimation.
Dalei Song +4 more
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Optimal Prediction and Update for Box Set-Membership Filter
This paper investigates a box set-membership filter for nonlinear dynamic systems and on-line usage. To the best of our knowledge, although ellipsoid set-membership filter has more freedom degree to optimize a bounding estimation, it is computationally ...
Fanqin Meng +3 more
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Robust Identification of Smart Foam Using Set Mem-bership Estimation in A Model Error Modeling Frame-work [PDF]
The aim of this paper is robust identification of smart foam, as an electroacoustic transducer, considering unmodeled dynamics due to nonlinearities in behaviour at low frequencies and measurement noise at high frequencies as existent uncertainties.
Abdolreza Ohadi, Ali Reza Seyed Kanani
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An Active Fault Detection for Unmanned Surface Vehicles With Minor Fault
This article proposes an active fault detection method for Unmanned Surface Vehicles (USVs) with uncertain bounded disturbance to achieve the minor faults detection of USV.
Zhi-Hao Liu +5 more
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Set-membership filtering for generator dynamic state estimation with delayed measurements
In this paper, the set-membership filtering problem is investigated for the dynamic state estimation (DSE) of the synchronous generator with delayed measurements.
Cheng Cheng +3 more
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Set-membership approach and Kalman observer based on zonotopes for discrete-time descriptor systems [PDF]
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/This paper proposes a set-membership state estimator and a zonotopic Kalman observer for discrete-time descriptor systems ...
Cembrano Gennari, Gabriela +2 more
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Set-membership identifiability of nonlinear models and related parameter estimation properties
Identifiability guarantees that the mathematical model of a dynamic system is well defined in the sense that it maps unambiguously its parameters to the output trajectories.
Jauberthie Carine +2 more
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Adjustment Model and Algorithm Based on Ellipsoid Uncertainty [PDF]
In surveying adjustment models, there is usually some uncertain additional information or prior information on parameters, which can constrain the parameters, and guarantee the uniqueness and stability of parameter solution. In this paper, we firstly use
SONG Yingchun,XIA Yuguo,XIE Xuemei
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On the usefulness of set-membership estimation in the epidemiology of infectious diseases
We present a method, known in control theory, to give set-membership estimates for the states of a population in which an infectious disease is spreading.
Andreas Widder
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