Searched for: subject%3A%22State%255C%2BEstimation%22
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Rol, Remy (author)
master thesis 2023
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van Baasbank, Erik (author)
Charting hyperlocal wind using a drone is a challenge of increased attention as it unlocks potential in a variety of fields. In context of the METeo Sensors In the Sky project, this study proposes a method to estimate the magnitude and direction of wind using a quadcopter in hover and cruise without a dedicated wind sensor. Only on-board sensors...
master thesis 2023
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Chatterjee, Sarthak (author), Alessandretti, Andrea (author), Aguiar, A. Pedro (author), Gonçalves Melo Pequito, S.D. (author)
Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatial and temporal components of a wide variety of dynamical networks. Notable examples include networked control systems or neurophysiological networks which are...
journal article 2023
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Meo, Cristian (author), Franzese, G. (author), Pezzato, C. (author), Spahn, M. (author), Lanillos, Pablo (author)
Adaptation to external and internal changes is of major importance for robotic systems in uncertain environments. Here, we present a novel multisensory active inference (AIF) torque controller for industrial arms that shows how prediction can be used to resolve adaptation. Our controller, inspired by the predictive brain hypothesis, improves...
journal article 2023
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Datta, Sattama (author)
With the increasing environmental concerns, the world is moving towards rapid decarbonization, and to meet the growing energy demand, more renewable energy sources like solar, Wind are getting added to the existing Distribution grid. The addition of new loads like Electric vehicles (EV), Heat pumps, etc. is putting additional pressure on the...
master thesis 2022
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de Bruin, Pim (author)
To improve Active Vibration control methods like Independent Modal Space Control (IMSC), an estimate of the modal contribution of vibrational eigenmodes of compliant structures is required. In this work, three Recursive Bayesian input and state estimation algorithms previously introduced in civil engineering are evaluated for use on on high-tech...
master thesis 2022
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Habib, Benjamin (author)
Whereas in the past, Distribution Systems played a passive role in connecting customers to electricity, Distribution System Operators (DSOs) will have to take in the future a more active role in monitoring and regulating the network to deal with the new behaviors and dynamics of the system brought by the energy transition. State Estimation, a...
master thesis 2022
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van Bavel, Henri (author)
In order to improve the autonomy of construction robots, a Simultaneous Localization and Mapping (SLAM) solution is needed that localizes the robot using solely on-board sensing with sub-5 mm accuracy. As pointed out by the results of the Hilti SLAM Challenge, the state-of-the-art in SLAM currently does not offer a solution that comes close to...
master thesis 2022
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Segovia Castillo, P. (author), Puig, Vicenç (author), Duviella, Eric (author)
This work is concerned with the design of a two-step distributed state estimation scheme for large-scale systems in the presence of unknown-but-bounded disturbances and noise. The set-membership approach is employed to construct a compact set containing the states consistent with system measurements and bounded noise and disturbances. The...
journal article 2022
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Nibhanupudi, S.S. (author), Ishchenko, Anton (author), Tindemans, Simon H. (author), Palensky, P. (author)
Transition from fossil fuels to sustainable sources of energy like wind and solar is the need of the hour. All over the globe, plans are in motion to achieve this goal. This implies addition of new elements to the grid in the form of Distributed Energy Resources (DERs). These affect the working of distribution grids and to ensure reliable as...
conference paper 2022
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Chen, Jie (author), Gallo, A.J. (author), Yan, Shuo (author), Parisini, Thomas (author), Yuen Ron Hui, Shu (author)
With increasing installations of grid-connected power electronic converters in the distribution network, there is a new trend of using distributed control in a cyber layer to coordinate the operations of these power converters for improving power system stability. However, cyber-attacks remain a threat to such distributed control. This paper...
journal article 2022
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Tomy, Abhishek (author), Razzanelli, Matteo (author), Di Lauro, Francesco (author), Rus, Daniela (author), Della Santina, C. (author)
When an epidemic spreads into a population, it is often impractical or impossible to continuously monitor all subjects involved. As an alternative, we propose using algorithmic solutions that can infer the state of the whole population from a limited number of measures. We analyze the capability of deep neural networks to solve this...
journal article 2022
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Xiao, J. (author), Wang, L. (author), Qin, Z. (author), Bauer, P. (author)
Smart grid steady control relies heavily on the communication infrastructure among sensors, actuators, and control systems, which makes it vulnerable to cyber-attacks. Accurate acquisition of dynamic state information is deemed vital for efficient detection of these cyber-attacks on a smart grid. However, several popular state estimation...
conference paper 2022
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Bilbao Nieva, J.A. (author), Lourens, E. (author), Schulze- Bonhage, Andreas (author), Ziegler, Lisa (author)
Wind turbine towers are subjected to highly varying internal loads, characterized by large uncertainty. The uncertainty stems from many factors, including what the actual wind fields experienced over time will be, modeling uncertainties given the various operational states of the turbine with and without controller interaction, the influence of...
journal article 2022
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Mohammadpourfard, Mostafa (author), Weng, Yang (author), Khalili, Abdullah (author), Genc, Istemihan (author), Shefaei, A. (author), Mohammadi-Ivatloo, Behnam (author)
The expansion of power systems over large geographical areas renders centralized processing inefficient. Therefore, the distributed operation is increasingly adopted. This work introduces a new type of attack against distributed state estimation of power systems, which operates on inter-area boundary buses. We show that the developed attack...
journal article 2022
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Soares, Ana (author), Camargo, Juliano (author), Al-Koussa, Jad (author), Diriken, Jan (author), Van Bael, Johan (author), Lago, Jesus (author)
Estimating the state thermal storage devices is key to use them efficiently to reduce the uncertainty of renewable sources. Although stratified storage tanks are one of the most efficient and cost-effective storage systems, they lack accurate state estimation methods. In this paper, we propose a general methodology for estimating the state of...
journal article 2022
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Flor, Vinicius B.Braga (author), Filho, Milton B.Do Coutto (author), de Souza, Julio C.Stacchini (author), Vergara Barrios, P.P. (author)
Intelligent electrical power grids, widely referred to as smart grids (SGs), rely on digital technology resources, especially communication and measurement devices, becoming a cyber-physical energy system. Massive data flow between grid elements makes smart grids more vulnerable to cyber-attacks. Power system state estimation (SE) - an...
journal article 2022
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Kongurai, Krit (author)
State estimation (SE) is a crucial tool for power system state monitoring since the control center requires a process to deal with a large number of imprecise measurements. Several SE methods have been applied and developed for the electric power system in the transmission level in the past several decades. Meanwhile, SE for the distribution...
master thesis 2021
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van Beurden, Bas (author)
Abstract—Ultra-wideband (UWB) ranging is a very suitable method for indoor localisation of unmanned aerial vehicles (UAVs). Current solutions of UWB ranging however either focus on achieving a high accuracy or focus on scalability. In this research a positioning algorithm for UAVs is presented that combines high accuracy performance with a high...
master thesis 2021
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Bos, Fred (author)
The free energy principle is a recent theory that originates from the neuroscience. It provides a unified framework that combines action perception and learning in the human brain. This research aims to implement the perception aspect of the free energy principle into robotics. This is achieved via the dynamic expectation maximisation (DEM)...
master thesis 2021
Searched for: subject%3A%22State%255C%2BEstimation%22
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