Searched for: subject%3A%22Kalman%255C%2Bfiltering%22
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Skoulidou, I (author), Koukouli, M.E. (author), Segers, A.J. (author), Manders-Groot, A.M.M. (author), Balis, D. (author), Stavrakou, T. (author), van Geffen, J. (author), Eskes, H. (author)
In this work, we investigate the ability of a data assimilation technique and space-borne observations to quantify and monitor changes in nitrogen oxides (NOx) emissions over North-Western Greece for the summers of 2018 and 2019. In this region, four lignite-burning power plants are located. The data assimilation technique, based on the Ensemble...
article 2021
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Lopez-Restrepo, S. (author), Nino-Ruiz, E.D. (author), Guzman-Reyes, L.G. (author), Yarce, A. (author), Quintero, O.L. (author), Pinel, N. (author), Segers, A.J. (author), Heemink, A.W. (author)
In this paper, we propose an efficient and practical implementation of the ensemble Kalman filter via shrinkage covariancematrix estimation. Our filter implementation combines information brought by an ensemble of model realizations, and thatbased on our prior knowledge about the dynamical system of interest. We perform the combination of both...
article 2021
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Keyvani Janbahan, A. (author), van der Veen, G. (author), Tamer, M.S. (author), Sadeghian Marnani, H. (author), Goosen, H. (author), van Keulen, F. (author)
The real-time and accurate measurement of tip-sample interaction forces in Tapping Mode Atomic Force Microscopy (TM-AFM) is a remaining challenge. This obstruction fundamentally stems from the causality of the physical systems. Since the input of the dynamic systems propagates to the output with some delay, and multiple different inputs can...
article 2020
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Lopez-Restrepo, S. (author), Yarce, A. (author), Pinel, N. (author), Quintero, O.L. (author), Segers, A. (author), Heemink, A.W. (author)
A data assimilation system for the LOTOS-EUROS chemical transport model has been implemented to improve the simulation and forecast of PM10 and PM2.5 in a densely populated urban valley of the tropical Andes. The Aburrá Valley in Colombia was used as a case study, given data availability and current environmental issues related to population...
article 2020
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Engels, W.P. (author), van der Hoek, D. (author), Yu, W. (author), Reyes Baez, R. (author)
Many wind turbines are still controlled using gain scheduled, PI(D) controllers. Another option is to use a state feedback controller, such as LQG control. However, for wind turbines that is not straight forward solution, because the system is non-linear and the impact of pitching on the states varies in time. This paper presents a variation on...
conference paper 2020
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Rojer, J. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, M. (author)
This paper describes a novel method for time-varying identification of Human Controller (HC) manual control parameters (called UKF-FPV), based on a steady-state (constant state covariance) Unscented Kalman Filter (UKF). This approach requires no a priori assumptions on the shape of HO parameter variations, which is expected to be an advantage...
conference paper 2019
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Peet, B.J.A. (author)
conference paper 2019
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Schmeitz, A.J.C. (author), Teerhuis, A.P. (author)
Tire states can be estimated by measuring the tire contact patch shape as it varies with vertical load, longitudinal and lateral slip, and so on. In this study, a miniature triaxial accelerometer is used to measure the centripetal accelerations at the tire inner liner. A tire state estimator (TSE) algorithm is developed to transform the measured...
article 2018
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Mora, J. (author), Willems, F.P.T. (author), Seykens, X.L.J. (author), Guardiola, C. (author)
The most recent regulation for diesel engines with regards to NOx emissions and SCR systems considers stringent OBD requirements. In this paper, an observer of the ageing state is developed considering NO, NO2 and NH3 concentrations, the surface coverage ratio θNH3, and the ammonia storage capacity Ω as states. The observer is based on an...
article 2018
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Loh, K.K.L. (author), Shoeibi Omrani, P. (author), van der Linden, R.J.P. (author)
The forecasting of gas production from mature gas wells, due to their complex end-of-life behaviour, is challenging and often associated with uncertainties (both measurements and modelling uncertainties). Yet, having good forecasts are crucial for operational decision making. In this paper, we present a purely black-box based approach, which...
conference paper 2018
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Fu, G. (author), Xiang Lin, H. (author), Heemink, A. (author), Lu, S. (author), Segers, A. (author), van Velzen, N. (author), Lu, T. (author), Xu, S. (author)
In this study, we investigate a strategy to accelerate the data assimilation (DA) algorithm. Based on evaluations of the computational time, the analysis step of the assimilation turns out to be the most expensive part. After a study of the characteristics of the ensemble ash state, we propose a mask-state algorithm which records the sparsity...
article 2017
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van Hoek, R. (author), Alirezaei, M. (author), Schmeitz, A. (author), Nijmeijer, H. (author)
In this paper a Vehicle State Estimator is developed and validated on experimental data from a 2012 Toyota Prius. The estimator is capable of estimating both planar vehicle velocities and the tyre-road friction parameter. Emphasis is placed on the comparison of the commonly used Extended Kalman Filter and a novel application of the State...
article 2017
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Noack, B. (author), Sijs, J. (author), Reinhardt, M. (author), Hanebeck, U.D. (author)
In distributed and decentralized state estimation systems, fusion methods are employed to systematically combine multiple estimates of the state into a single, more accurate estimate. An often encountered problem in the fusion process relates to unknown common information that is shared by the estimates to be fused and is responsible for...
article 2017
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Kunnappillil Madhusudhanan, A. (author), Corno, M. (author), Holweg, E. (author)
This paper investigates the potential of load based vehicle side slip estimation.Different techniques to measure tyre forces have been presented over the years; so far no technique has made it to the market. This paper considers a new technology based on loadsensing bearings, which provides tyreforce measurements. Based on the features of the...
article 2016
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van Ophem, S. (author), Berkhoff, A.P. (author)
Summary For broadband active noise control applications with a rapidly changing primary path, it is desirable to find algorithms with a rapid convergence, a fast tracking performance, and a low computational cost. Recently, a promising algorithm has been presented, called the fast-array Kalman filter, which uses rotation matrices to calculate...
article 2016
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Teerhuis, A. (author), Schmeitz, A.J.C. (author), Molengraft-Luijten, L. (author)
In this work, a tire state estimator (TSE) was developed and validated using experimental data. A tire has been equipped with an accelerometer on the inner liner measuring radial acceleration. First, an empirical model was developed consisting of a basic shape function for the acceleration and relations that relate the parameters of this...
conference paper 2015
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Wang, Y. (author), Kostić, D. (author), Jansen, S.T.H. (author), Nijmeijer, H. (author)
The use of redundant sensors brings a rich diversity of information, nevertheless fusing different sensors that run at vastly different frequencies into a proper estimate is still a challenging sensor fusion problem. Instead of using the size-varying measurements and thereby the size-varying filters during each sampling period, we propose to...
conference paper 2014
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Noack, B. (author), Sijs, J. (author), Hanebeck, U.D. (author)
Distributed implementations of state estimation algorithms generally have in common that each node in a networked system computes an estimate on the entire global state. Accordingly, each node has to store and compute an estimate of the same state vector irrespective of whether its sensors can only observe a small part of it. In particular, the...
conference paper 2014
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Sebacher, B. (author), Hanea, R.G. (author), Heemink, A. (author)
In the past years, many applications of historymatching methods in general and ensemble Kalman filter in particular have been proposed, especially in order to estimate fields that provide uncertainty in the stochastic process defined by the dynamical system of hydrocarbon recovery. Such fields can be permeability fields or porosity fields, but...
article 2013
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Gryzlov, A. (author), Schiferli, W. (author), Mudde, R.F. (author)
The growing demand for hydrocarbon production has resulted in improved oilfield management using various control and optimization strategies. These strategies increasingly require downhole equipment to obtain real-time oil and gas production rates with sufficient spatial and temporal resolution. In particular, downhole multiphase metering can...
article 2013
Searched for: subject%3A%22Kalman%255C%2Bfiltering%22
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