Searched for: subject%3A%22System%255C%252BIdentification%22
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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
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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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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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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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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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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 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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Mahajan, Saurabh (author), Cicirello, A. (author)
The friction force at joints of engineering structures is usually unknown and not directly identifiable. This contribution explores a procedure for obtaining the governing equation of motion and correctly identifying the unknown Coulomb friction force of a mass-springdashpot system. In particular, a single degree-of-freedom system 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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Koune, I.C. (author), Rózsás, Árpád (author), Slobbe, Arthur (author), Cicirello, A. (author)
The decreasing cost and improved sensor and monitoring system technology (e.g., fiber optics and strain gauges) have led to more measurements in close proximity to each other. When using such spatially dense measurement data in Bayesian system identification strategies, the correlation in the model prediction error can become significant. The...
journal article 2023
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González, Rodrigo A. (author), Tiels, Koen (author), Oomen, T.A.E. (author)
Control applications are increasingly sampled non-equidistantly in time, including in motion control, networked control, resource-aware control, and event-triggered control. Some of these applications use measurement devices that sample equidistantly in the amplitude domain. The aim of this paper is to develop a non-parametric estimator of...
journal article 2023
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Poot, Maurice (author), van Hulst, Jilles (author), Yan, Kai Wa (author), Kostic, Dragan (author), Portegies, Jim (author), Oomen, T.A.E. (author)
The increasing demands on throughput and accuracy of semiconductor manufacturing equipment necessitates accurate feedforward motion control that includes compensation of input nonlinearities. The aim of this paper is to develop a data-driven feedforward approach consisting of a Wiener feedforward, i.e., linear parameterization with an output...
journal article 2023
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Moradvandi, A. (author), Lindeboom, R.E.F. (author), Abraham, E. (author), De Schutter, B.H.K. (author)
Dynamical systems and processes that either exhibit non-smooth behaviours (e.g. through logic control or natural phenomena) or work in different modes of operation are usually represented using hybrid systems models, i.e. mathematical models that combine continuous dynamics with discrete-event dynamics. Identification of a hybrid system...
conference paper 2023
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Koene, Robbert (author), Meijaard, J.P. (author), van de Ruit, M.L. (author), Mugge, W. (author), van der Wijk, V. (author)
Humans vary the stiffness in their joints depending on tasks and circumstances. For posture control a high joint stiffness is required to withstand perturbations, whereas for force control a low joint stiffness is required. To investigate how humans vary their joint stiffness precisely for moving an arm, a wearable device is needed that can...
conference paper 2023
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Zhou, H. (author)
Applying deep neural networks (DNNs) for system identification (SYSID) has attracted more andmore attention in recent years. The DNNs, which have universal approximation capabilities for any measurable function, have been successfully implemented in SYSID tasks with typical network structures, e.g., feed-forward neural networks and recurrent...
doctoral thesis 2022
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Dirkx, Nic (author), Bosselaar, Marcel (author), Oomen, T.A.E. (author)
Handling peak amplitude constraints, or equivalently l∞-norm constraints, is an important application demand in experiment design for system identification. The aim of this letter is to present a method for the design of excitation signals with prescribed power spectrum under l∞-norm constraints for systems with many inputs and outputs. The...
journal article 2022
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Dialynas, G. (author), Christoforidis, Christos (author), Happee, R. (author), Schwab, A.L. (author)
Experiments and human rider models were used to investigate bicycle balance and steering using visuo/vestibular motion and proprioceptive feedback taking into account sensory delays. An instrumented steer-by-wire bicycle designed and built at the TU Delft bicycle laboratory was used to investigate rider responses with and with reduced...
journal article 2022
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Stella, F. (author), Obayashi, Nana (author), Della Santina, C. (author), Hughes, Josie (author)
The control possibilities for soft robots have long been hindered by the lack of accurate yet computationally treatable dynamic models of soft structures. Polynomial curvature models propose a solution to this quest for continuum slender structures. Nevertheless, the results produced with this class of models have been so far essentially...
journal article 2022
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), van Paassen, M.M. (author)
Mathematical human control models are widely used in tuning manual control systems and understanding human performance. Human behavior is commonly described using linear time-invariant models, averaging-out all non-linear and time-varying effects, which are gathered into the remnant. These models are limited in their capability to capture...
journal article 2022
Searched for: subject%3A%22System%255C%252BIdentification%22
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