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Linear Time-Varying Parameter Estimation: Maximum A Posteriori Approach via Semidefinite ProgrammingVakili, S. (author), Khosravi, M. (author), Mohajerin Esfahani, P. (author), Mazo, M. (author)We study the problem of identifying a linear time-varying output map from measurements and linear time-varying system states, which are perturbed with Gaussian observation noise and process uncertainty, respectively. Employing a stochastic model as prior knowledge for the parameters of the unknown output map, we reconstruct their estimates...journal article 2024
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Zhu, J. (author), Gienger, Michael (author), Franzese, G. (author), Kober, J. (author)Developing physically assistive robots capable of dressing assistance has the potential to significantly improve the lives of the elderly and disabled population. However, most robotics dressing strategies considered a single robot only, which greatly limited the performance of the dressing assistance. In fact, healthcare professionals...journal article 2024
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Jia, Lan (author)In an era marked by the demand for unprecedented levels of precision in engineering applications, the profound impact of friction forces on motion control systems cannot be underestimated. This thesis extensively investigates the frictional behavior of the Proton Motion Stage, an advanced high-precision motion control system developed by...master thesis 2023
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The problem of high-resolution direction-of-arrival (DOA) estimation based on a limited amount of snapshots in automotive multiple-input multiple-output (MIMO) radar has been studied. The number of snapshots is restricted to minimize target spread/migration in range and/or Doppler domains. A computationally efficient approach for side-looking...journal article 2023
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Teunissen, P.J.G. (author)In this contribution we present a review of the DIA-method to ensure navigational integrity. The DIA-method rigorously combines parameter estimation and statistical testing for the Detection, Identification and Adaptation of multivariate and multiple model misspecifications. We describe the statistical properties of the so-obtained DIA...journal article 2023
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Khosravi, M. (author), Smith, R. S. (author)In this article, we consider the problem of system identification when side-information is available on the steady-state gain (SSG) of the system. We formulate a general nonparametric identification method as an infinite-dimensional constrained convex program over the reproducing kernel Hilbert space (RKHS) of stable impulse responses. The...journal article 2023
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Brouwer, W.S. (author), Hanssen, R.F. (author)The estimation of displacement vectors for (objects on) the Earth's surface using satellite InSAR requires geometric transformations of the observables based on orbital viewing geometries. Usually, there are insufficient viewing geometries available for full 3-D reconstruction, leading to nonunique solutions. Currently, there is no...journal article 2023
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Paulus, D. (author), de Vries, G. (author), Janssen, M.F.W.H.A. (author), Van de Walle, Bartel (author)A crisis requires the affected population, governments or non-profit organizations, as well as crisis experts, to make urgent and sometimes life-critical decisions. With the urgency and uncertainty they create, crises are particularly amenable to inducing cognitive biases that influence decisionmaking. However, there is limited empirical...journal article 2022
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Victor Ryan, Victor (author)In this thesis, we present simulation studies of a non-parametric estimator, proposed by Liebscher (2005). This estimator uses a well-known non-parametric estimator called kernel density estimator. Non-parametric estimation is used when the parametric distribution of a given dataset is unknown. This technique is then applied with an assumption...bachelor thesis 2022
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Roth, M. (author), Stapel, J.C.J. (author), Happee, R. (author), Gavrila, D. (author)We present a novel method for vehicle-pedestrian path prediction that takes into account the awareness of the driver and the pedestrian towards each other. The method jointly models the paths of vehicle and pedestrian within a single Dynamic Bayesian Network (DBN). In this DBN, sub-graphs model the environment and entity-specific context cues...journal article 2022
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Liu, Y. (author), Pamososuryo, A.K. (author), Mulders, S.P. (author), Ferrari, Riccardo M.G. (author), van Wingerden, J.W. (author)The estimation of the rotor effective wind speed is used in modern wind turbines to provide advanced power and load control capabilities. However, with the ever increasing rotor sizes, the wind field over the rotor surface shows a higher degree of spatial variation. A single effective wind speed estimation therefore limits the attainable...journal article 2022
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Pirani, Mohammad (author), Baldi, S. (author), Johansson, Karl Henrik (author)This paper presents a comprehensive study on the impact of information flow topologies on the resilience of distributed algorithms that are widely used for estimation and control in vehicle platoons. In the state of the art, the influence of information flow topology on both internal and string stability of vehicle platoons has been well...journal article 2022
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de Jong, D.B. (author), Paredes-Vallés, Federico (author), de Croon, G.C.H.E. (author)End-to-end trained convolutional neural networks have led to a breakthrough in optical flow estimation. The most recent advances focus on improving the optical flow estimation by improving the architecture and setting a new benchmark on the publicly available MPI-Sintel dataset. Instead, in this article, we investigate how deep neural...journal article 2022
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Liu, Y. (author), Pamososuryo, A.K. (author), Ferrari, Riccardo M.G. (author), van Wingerden, J.W. (author)The Immersion and Invariance (II) wind speed estimator is a powerful and widely-used technique to estimate the rotor effective wind speed on horizontal axis wind turbines. Anyway, its global convergence proof is rather cumbersome, which hinders the extension of the method and proof to time-delayed and/or uncertain systems. In this letter, we...journal article 2022
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Behdani, B. (author), Tajdinian, Mohsen (author), Allahbakhshi, Mehdi (author), Popov, M. (author), Shafie-khah, Miadreza (author), Catalao, Joao P. S. (author)Geomagnetically induced currents (GICs) are referred to the quasi-DC current flows in power networks, driven by complex space weather-related phenomena. Such currents are a potential threat to the power delivery capability of electrical grids. To mitigate the detrimental impacts of GICs on critical infrastructures, the GICs should be monitored...journal article 2022
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Dong, Xichao (author), Zhao, Zewei (author), Wang, Yupei (author), Zeng, Tao (author), Wang, J. (author), Sui, Yi (author)Recently, frequency-modulated continuous-wave (FMCW) radar-based hand gesture recognition (HGR) using deep learning has achieved favorable performance. However, many existing methods use extracted features separately, i.e., using one of the range, Doppler, azimuth, or elevation angle information, or a combination of any two, to train...journal article 2022
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van der Ploeg, Chris (author), Silvas, Emilia (author), van de Wouw, Nathan (author), Mohajerin Esfahani, P. (author)Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the presence of disturbances, noise, or varying system dynamics, such estimation is even more challenging. To address this challenge, this letter proposes a novel filter to estimate multiple fault signals for a class of discrete-time linear...journal article 2022
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Dutta, Shamak (author), Wilde, N. (author), Smith, Stephen L. (author)In this paper, we consider a subset selection problem in a spatial field where we seek to find a set of k locations whose observations provide the best estimate of the field value at a finite set of prediction locations. The measurements can be taken at any location in the continuous field, and the covariance between the field values at...conference paper 2022
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Rosi, Emanuele Riccardo (author), Stölzle, Maximilian (author), Solari, Fabio (author), Della Santina, C. (author)The nature of continuum soft robots calls for novel perception solutions, which can provide information on the robot's shape while not substantially modifying their bodies' softness. One way to achieve this goal is to develop innovative and completely deformable sensors. However, these solutions tend to be less reliable than classic sensors for...conference paper 2022
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Wahlstrom, Johan (author), Kok, M. (author)The last years have seen a growing body of literature on data-driven pedestrian inertial navigation. However, despite this, it is still unclear how to efficiently combine classical models and other a priori information with existing machine learning frameworks. In this paper, we first categorize existing approaches to data-driven pedestrian...journal article 2022