Searched for: subject%3A%22system%255C%2Bidentification%22
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Menken, Maarten (author)
Lithium-ion batteries are the dominant electrochemical energy storage device and are a key enabler of portable electronics and electric vehicles. However, the technology is often criticized for its use of rare metals. Extending the lifetime of lithium-ion batteries can allow for more time to develop rare metal recycling efforts but this requires...
master thesis 2023
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Lende, Knut Roar (author)
Linear Parameter-Varying (LPV) systems can be used as a bridge to extend the well studied model based control methods of Linear Time-Invariant systems to certain nonlinear systems. Despite significant attention in literature over the last two decades, finding an efficient global state space identification algorithm remains an open problem....
master thesis 2023
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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
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de Fuijk, Dirk (author)
Adequate modeling of the unsteady aerodynamics during flow separation is critical for effective pilot training in Flight Simulation Training Devices. Over the years, a stall modeling method rooted in Kirchhoff's theory of flow separation has gained popularity due to its relative simplicity and suitability for parameter identification from flight...
master thesis 2023
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MAHAJAN, SAURABH (author)
Structural joints influence the design strength, material requirement of a structure. Structural joints experience damping dissipation due to friction damping or hysteresis damping. Damping is often used for reducing the vibrations in a structure. However, large amount of energy dissipation leads to deterioration of the material used for...
master thesis 2023
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Verdoes, Max (author)
Chain belt conveyors have become a popular choice for transporting materials in diverse industries. The primary driving force behind these conveyors is the gearmotor, which is composed of an electric motor and a gear unit. The industrial electric motor market is estimated to be 21 billion USD and consumes up to 70\% of the electricity by the...
master thesis 2023
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Anil Meera, A. (author)
The potential impact of a grand unified theory of the brain on the robotics community might be immense, as it might hold the key to the general artificial intelligence. Such a theory might make revolutionary leaps in robot intelligence by improving the quality of our lives. The last two decades have witnessed the rise of one such brain theory -...
doctoral thesis 2023
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Saify, Burhanuddin (author)
As quadrotors continue to become more popular for personal and commercial use, improving their safety is essential, especially in impaired operating states. With (asymmetric) blade damage (ABD) being a potentially dangerous type of impairment, it is beneficial to understand how it affects the dynamic behavior of a quadrotor. This research...
master thesis 2023
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Khosravi, M. (author), Smith, Roy S. (author)
This paper discusses the problem of system identification when frequency domain side-information is available. We mainly consider the case where the side-information is provided as the H<sub>∞</sub>-norm of the system being bounded by a given scalar. This framework allows considering different forms of frequency domain side-information, such...
journal article 2023
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Khosravi, M. (author), Smith, Roy S. (author)
The notion of reproducing kernel Hilbert space (RKHS) has emerged in system identification during the past decade. In the resulting framework, the impulse response estimation problem is formulated as a regularized optimization defined on an infinite-dimensional RKHS consisting of stable impulse responses. The consequent estimation problem is...
journal article 2023
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van’t Veld, Ronald C. (author), Flux, Eline (author), van Oorschot, Wieneke (author), Schouten, A.C. (author), van der Krogt, Marjolein M. (author), van der Kooij, H. (author), Vos-van der Hulst, Marije (author), Keijsers, Noël L.W. (author), van Asseldonk, Edwin H.F. (author)
Background: Spasticity, i.e. stretch hyperreflexia, increases joint resistance similar to symptoms like hypertonia and contractures. Botulinum neurotoxin-A (BoNT-A) injections are a widely used intervention to reduce spasticity. BoNT-A effects on spasticity are poorly understood, because clinical measures, e.g. modified Ashworth scale (MAS),...
journal article 2023
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Shi, S. (author), Cheng, Xiaodong (author), Van den Hof, Paul M.J. (author)
Identifiability of a single module in a network of transfer functions is determined by whether a particular transfer function in the network can be uniquely distinguished within a network model set, on the basis of data. Whereas previous research has focused on the situations that all network signals are either excited or measured, we develop...
journal article 2023
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Van Haren, Max (author), Mirkin, Leonid (author), Blanken, Lennart (author), Oomen, T.A.E. (author)
Fast-sampled models are essential for control design, e.g., to address intersample behavior. The aim of this letter is to develop a non-parametric identification technique for fast-sampled models of systems that have relevant dynamics and actuation above the Nyquist frequency of the sensor, such as vision-in-the-loop systems. The developed...
journal article 2023
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Marino, Luca (author), Cicirello, A. (author)
An approach for the identification of discontinuous and nonsmooth nonlinear forces, as those generated by frictional contacts, in mechanical systems that can be approximated by a single-degree-of-freedom model is presented. To handle the sharp variations and multiple motion regimes introduced by these nonlinearities in the dynamic response, the...
journal article 2023
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Dirkx, Nic (author), Tiels, Koen (author), Oomen, T.A.E. (author)
Frequency response function (FRF) estimation from measured data is an essential step in the design, control, and analysis of complex dynamical systems, including thermal and motion systems. Especially for systems that require long measurement time, missing samples in the data record, e.g., due to measurement interruptions, often occur. The...
journal article 2023
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van der Lely, Lars (author)
Over nine billion people will have to be fed fresh and healthy food in 2050 according to United Nations. This puts pressure on the horticulture sector, responsible for a large portion of the world’s food production. The literature has shown that automatic optimal control algorithms are able to make better use of resources and can even outperform...
master thesis 2022
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Koster, Max (author)
In order to gain more insight into the effects of propeller ducts on quadrotors in forward flight, this research analyses flight data obtained from free flight tests, performed in the Cyberzoo and the Open Jet Facility of the TU Delft. Using a quadrotor platform with detachable propeller ducts, both trimmed forward flight tests and flights...
master thesis 2022
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FANG, SONGLEI (author)
A complex network consists of the underlying topology, defined by a graph and the dynamical processes taking place on a network, defined by a set of governing equations. In this thesis, we deploy the discrete-time linear state-space (DLSS) model to identify the dynamical processes taking place on a complex network. Unlike the black-box...
master thesis 2022
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van der Laan, Fedor (author)
Hydrogen is a promising fuel for both reducing greenhouse gas emissions and being used as an energy carrier for renewable energy sources. The adaption of hydrogen instead of natural gas as a fuel in gas turbine combustors introduces additional challenges regarding flame stability. One instabilities is boundary layer flashback. This phenomenon...
master thesis 2022
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Martinez Colan, Andres (author)
Bayesian system identification has been extensively adopted in Structural Health Monitoring as a way to probabilistically infer unobservable parameters of the physical model of a structure using measurement data. Combining the Bayesian approach with distributed optic fibre sensors can potentially improve the accuracy and reduce the uncertainty...
master thesis 2022
Searched for: subject%3A%22system%255C%2Bidentification%22
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