Searched for: subject%3A%22identification%22
(1 - 20 of 558)

Pages

document
Noom, J. (author)
The complexity of automated systems has grown considerably during the past decades. This convolutes the observation of possible faults in these systems. If not being revealed timely, such faults can lead to catastrophic failures. As a result, there is a continuous interest in sophisticated fault diagnosis techniques. Since it is generally...
doctoral thesis 2024
document
van Cranenburgh, Tom (author)
With renewed interest in the development of civil supersonic aircraft, their return in the future is becoming more ever more likely. The environmental impact of emissions in the stratosphere on climate and the ozone layer therefore needs to be explored. The stratospheric ozone levels determine the amount of harmful ultraviolet radiation reaching...
master thesis 2024
document
Schweidtmann, A.M. (author), Zhang, Dongda (author), von Stosch, Moritz (author)
The term hybrid modeling refers to the combination of parametric models (typically derived from knowledge about the system) and nonparametric models (typically deduced from data). Despite more than 20 years of research, over 150 scientific publications (Agharafeie et al., 2023), and some recent industrial applications on this topic, the...
review 2024
document
Stella, F. (author), Della Santina, C. (author), Hughes, Josie (author)
The control possibilities for soft robots have long been hindered by the need for reliable methods to estimate their configuration. Inertial measurement units (IMUs) can solve this challenge, but they are affected by well-known drift issues. This letter proposes a method to eliminate this limitation by leveraging the Piecewise Constant...
journal article 2024
document
de Koster, P.B.J. (author), Wahls, S. (author)
Lax-integrable partial differential equations (PDEs) can by definition be described through a compatibility condition between two linear operators. These operators are said to form a Lax pair for the PDE, which itself is usually nonlinear. Lax pairs are a very useful tool, but unfortunately finding them is a difficult problem in practice. In...
journal article 2024
document
Vakili, 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
document
Oomen, T.A.E. (author), Rojas, Cristian R. (author)
A direct data-driven iterative algorithm is developed to accurately estimate the H<sub>∞</sub> norm of a linear time-invariant system from continuous operation, i.e., without resetting the system. The main technical step involves a reversed-circulant matrix that can be evaluated in a model-free setting by performing experiments on the real...
journal article 2024
document
Martinelli, Cristiano (author), Coraddu, A. (author), Cammarano, Andrea (author)
Meta-heuristic optimisation algorithms are high-level procedures designed to discover near-optimal solutions to optimisation problems. These strategies can efficiently explore the design space of the problems; therefore, they perform well even when incomplete and scarce information is available. Such characteristics make them the ideal...
conference paper 2024
document
González, Rodrigo A. (author), Tiels, Koen (author), Oomen, T.A.E. (author)
Sampling in control applications is increasingly done non-equidistantly in time. This includes applications in motion control, networked control, resource-aware control, and event-based control. Some of these applications, like the ones where displacement is tracked using incremental encoders, are driven by signals that are only measured when...
journal article 2024
document
Moradvandi, A. (author), Abraham, E. (author), Goudjil, Abdelhak (author), De Schutter, B.H.K. (author), Lindeboom, R.E.F. (author)
This paper focuses on the development of linear Switched Box–Jenkins (SBJ) models for approximating complex dynamical models of biological wastewater treatment processes. We discuss the adaptation of these processes to the SBJ framework, showing the model's generality and flexibility as a class of switched systems that can offer accurate...
journal article 2024
document
Noom, J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
We present a novel problem formulation for model-free data-driven fault diagnosis, in which possible faults are diagnosed simultaneously to identifying the linear time-invariant system. This problem is practically relevant for systems whose model cannot be identified reliably prior to diagnosing possible faults, for instance when operating...
journal article 2024
document
Zeng, Y. (author), Nunez, Alfredo (author), Li, Z. (author)
A transfer function (TF) is an effective representation of the load-response relationship of railway track structures. To fill the gap in measuring track structure TFs over a wide frequency range from a moving vehicle, we develop a TF measurement system and the associated TF estimation methodology. Accelerometers are utilized to estimate the...
journal article 2024
document
Brownjohn, James (author), Raby, Alison (author), Bassitt, James (author), Antonini, A. (author), Zhu, Zuo (author), Dobson, Peter (author)
Wolf Rock Lighthouse is a Victorian era masonry structure located in an extreme environment facing the fiercest Atlantic storms off the southwest coast of England whose dynamic behaviour has been studied since 2016. Initially, a modal test was used to determine modal parameters; then, in 2017, a monitoring system was installed that has...
journal article 2024
document
Dziarnowska, Weronika (author)
Researchers have been interested in studying the connection between emotion and memory for decades but much remains unknown due to the elusive nature of the human brain. Furthering our understanding of the phenomenon is crucial for improving the treatment of neurological disorders associated with emotion dysregulation, as well as for enhancing...
master thesis 2023
document
Ortiz Moya, Álvaro (author)
The identification of time-varying, adaptive behaviour of a human operator in basic manual control tasks is undoubtedly under development since most methodologies only account for time-invariant systems. Previous authors have proved that estimation techniques based on ARX structures can generally identify the HO model parameters. Nonetheless,...
master thesis 2023
document
Narpala, Saketh (author)
This study addresses the critical need for specialized risk identification practices in green retrofit projects within the construction industry, particularly under the increasing pressure to meet the EU's net-zero emissions target by 2050. Focusing on the Netherlands, it investigates how companies navigate the unique challenges posed by...
master thesis 2023
document
Dieters, Sibren (author)
New mining and exploration projects have revived across Europe with an increasing demand for critical raw materials driven by the energy transition and unstable political conditions. Hyperspectral imaging proves to be an excellent tool for quick and efficient non-invasive mineral exploration. By mounting hyperspectral- and LiDAR sensors on...
master thesis 2023
document
Ramesh, Nirupama Sai (author)
Model-based fault diagnosis methodologies rely on an accurate mathematical representation of a system's dynamics to effectively detect and localize faults. However, creating such models can be challenging, particularly for complex systems operating under diverse conditions. Furthermore, faults affecting the system can also modify its dynamics....
master thesis 2023
document
Allemekinders, Emma (author)
In this study, we perform human identification using accumulated radar point clouds in an outdoor scene. We employ PointNet as classification network and explore the impact of adding radars' non-spatial features as input, namely doppler velocity and radar cross section (RCS). Furthermore, we encode time as an additional time identity dimension...
master thesis 2023
document
van Laarhoven, Menno (author)
<br/>We expand on the framework by Korda and Mezic (2020) to construct eigenfunctions directly from data by exploiting the eigenfunction PDE, guaranteeing closure and eliminating the need for a prior data dictionary. <br/>The constructed models are extended to forced systems through the multi-step prediction error of a linear state-space model....
master thesis 2023
Searched for: subject%3A%22identification%22
(1 - 20 of 558)

Pages