Pages
- 1
- 2
- document
- Sagastizabal, R. (author), Bonet-Monroig, X. (author), Singh, M. (author), Rol, M.A. (author), Bultink, C.C. (author), Fu, X. (author), Price, C.H. (author), Ostroukh, V.P. (author), Muthusubramanian, N. (author), Bruno, A. (author), Beekman, M. (author), Haider, N. (author), O'Brien, T.E. (author), Dicarlo, L. (author) article 2019
- document
-
Jorguseski, L. (author), Zhang, H. (author), Dijkstra-Soudarissanane, S. (author), Golinski, M. (author)This study investigates the feasibility of using Long Term Evolution (LTE) cellular networks for the real-time smart grid state estimation. The smart grid state estimation requires measurement reports from different nodes installed in the smart grid. Therefore, the uplink LTE radio delay performance is selected as key performance indicator for...article 2019
- document
-
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
- document
-
Rosca, B. (author), Wilkins, S. (author), Hoedemaekers, E. (author)Model based development methodologies have strong potential in reducing development effort of complex automotive systems. This paper presents a model based development methodology used to develop battery state estimation algorithms, and steps through all the steps required for this. The benefits of the mixed simulation and testing methodology...conference paper 2018
- document
-
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
- document
-
Jorguseski, L. (author), Zhang, H. (author), Chrysalos, M. (author), Golinski, M. (author), Toh, Y. (author)This study investigates the feasibility of using Long Term Evolution (LTE), for the real-time state estimation of the smart grids. This enables monitoring and control of future smart grids. The smart grid state estimation requires measurement reports from different nodes in the smart grid and therefore the uplink LTE radio delay performance is...conference paper 2017
- document
-
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
- document
-
Goos, J. (author), Teerhuis, A.P. (author), Schmeitz, A.J.C. (author), Besselink, I.J.M. (author), Nijmeijer, H. (author)In this work a Tire State Estimator (TSE) is developed and validated using data from a tri-axial accelerometer, installed at the inner liner of the tire. The Flexible Ring Tire (FRT) model is proposed to calculate the tire deformation. For a rolling tire, this deformation is transformed into tangential and radial accelerations of a point on the...conference paper 2016
- document
-
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
- document
-
Brouwer, A.M. (author), Zander, T.O. (author), van Erp, J.B.F. (author), Korteling, J.E. (author), Bronkhorst, A.W. (author)Estimating cognitive or affective state from neurophysiological signals and designing applications that make use of this information requires expertise in many disciplines such as neurophysiology, machine learning, experimental psychology, and human factors. This makes it difficult to perform research that is strong in all its aspects as well as...article 2015
- document
-
Brouwer, A.M. (author), Hogervorst, M.A. (author), Reuderink, B. (author), van der Werf, Y. (author), van der Erp, J.B.F. (author)We are interested in monitoring an individual’s emotions during the reading of a novel. While physiological responses to experimentally induced emotions are often small and inconsistent, being engaged in a novel may elicit relatively strong responses. We analyzed EEG, ECG, skin conductance and respiration of 57 readers reading a complete, yet to...article 2015
- document
-
Jansen, S. (author), Alirezaei, M. (author), Kanarachos, S. (author)In this paper a novel adaptive regenerative braking control concept for electric vehicles with an electric motor at the front axle is presented. It is well known that the "phased" type regenerative braking systems of category B maximize the amount of regenerative energy during braking. However, there is an increased risk of maneuvering...article 2014
- document
-
Kanarachos, S.A. (author), Alirezaei, M. (author), Jansen, S.T.H. (author), Maurice, J.P. (author)In this paper the systematic development of an integrated braking controller for a vehicle driven by an electric motor on the front axle is presented. The objective is to engage the electric motor only during braking, up to the point at which the vehicle reaches its manoeuvrability and stability limit. The control challenges are to distribute...article 2014
- document
-
Berkhoff, A. (author), van Ophem, S. (author)The feed-forward broadband active noise control problem can be formulated as a state estimation problem to achieve a faster rate of convergence than the filtered reference least mean squares algorithm and possibly also a better tracking performance. A multiple input/multiple output Kalman algorithm is used to perform this state estimation. To...conference paper 2013
- document
-
Sijs, J. (author), Hanebeck, U. (author), Noack, B. (author)State fusion is a method for merging multiple estimates of the same state into a single fused estimate. Dealing with multiple estimates is one of the main concerns in distributed state estimation, where an estimated value of the desired state vector is computed in each node of a networked system. Most solutions for distributed state estimation...conference paper 2013
- document
-
Sijs, J. (author), Noack, B. (author), Hanebeck, U.D. (author)To reduce the amount of data transfer in networked systems, measurements are usually taken only when an event occurs rather than periodically in time. However, this complicates estimation problems considerably as it is not guaranteed that new sensor measurements will be sampled. In order to cope with such event sampled measurements, an existing...conference paper 2013
- document
-
Sijs, J. (author), Lazar, M. (author)To reduce the amount of data transfer in networked systems, measurements are usually taken only when an event occurs rather than at each synchronous sample instant. However, this complicates estimation problems considerably, especially in the situation when no measurement is received anymore. The goal of this paper is therefore to develop a...article 2012
- document
-
Sijs, J. (author), Lazar, M. (author)This article focuses on the problem of fusing two prior Gaussian estimates into a single estimate, when the correlation is unknown. Existing solutions either lead to a conservative fusion result, as the chosen parametrization focuses on the fusion formulas instead of correlations, or they are computationally expensive. The contribution of this...article 2012
- document
-
Teerhuis, A.P. (author), Jansen, S.T.H. (author)The motorcycle lean (or roll) angle development is one of the main characteristics of motorcycle lateral dynamics. Control of motorcycle motions requires an accurate assessment of this quantity and for safety applications also the risk of sliding needs to be considered. Direct measurement of the roll angle and tyre slip is not available;...article 2012
- document
- Sijs, J. (author) doctoral thesis 2012
Pages
- 1
- 2