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Detection-only versus detection and identification of model misspecifications

Zaminpardaz, Safoora (author), Teunissen, P.J.G. (author)

It is common practice to use the well-known concept of the minimal detectable bias (MDB) to assess the performance of statistical testing procedures. However, such procedures are usually applied to a null and a set of multiple alternative hypotheses with the aim of selecting the most likely one. Therefore, in the DIA method for the detection,...

journal article 2023

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Comparing multivariable uncertain model structures for data-driven robust control: Visualization and application to a continuously variable transmission

Tacx, Paul (author), Oomen, T.A.E. (author)

The selection of uncertainty structures is an important aspect of system identification for robust control. The aim of this paper is to provide insight into uncertain multivariable systems for robust control. A unified method for visualizing model sets is developed by generating Bode plots of multivariable uncertain systems, both in magnitude...

journal article 2023

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Beyond Nyquist in Frequency Response Function Identification: Applied to Slow-Sampled Systems

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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Integrated Fault Detection, Classification and Section Identification (I-FDCSI) Method for Real Distribution Networks Using μPMUs

Haleem Medattil Ibrahim, M.I. (author), Sharma, Madhu (author), Subramaniam Rajkumar, Vetrivel (author)

This paper presents a rules-based integrated fault detection, classification and section identification (I-FDCSI) method for real distribution networks (DN) using micro-phasor measurement units ((Formula presented.) PMUs). The proposed method utilizes the high-resolution synchronized realistic measurements from the strategically installed ...

journal article 2023

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Data requirements and availabilities for material passports: A digitally enabled framework for improving the circularity of existing buildings

Çetin, Sultan (author), Raghu, Deepika (author), Honic, Meliha (author), Straub, A. (author), Gruis, V.H. (author)

Passports for circularity, e.g., digital product passports and material passports (MPs), have gained recognition as essential policy instruments for the Circular Economy goals of the European Union. Despite the growing number of approaches, there is a lack of knowledge about the data requirements and availabilities to create MPs for existing...

journal article 2023

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Open Gimbal: A 3 Degrees of Freedom Open Source Sensing and Testing Platform for Nano and Micro UAVs

Sharma, Suryansh (author), Dijkstra, Tristan (author), Venkatesha Prasad, Ranga Rao (author)

Testing the aerodynamics of micro-UAVs (mUAVs) and nano-UAVs (nUAVs) without actually flying is highly challenging. To address this issue, we introduce Open Gimbal, a specially designed 3 degrees of freedom (DoF) platform that caters to the unique requirements of mUAVs and nUAVs. This platform allows for unrestricted and free rotational...

journal article 2023

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The DIA-Method for Navigational Integrity

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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Exploring Schedule Risks in Large Airport Operational Readiness: Risk Identification and the Systematic Model

Xue, Yutong (author), Le, Yun (author), Zhang, X. (author), Jiang, Kaiwen (author)

Large airport operational readiness (LAOR) is a critical factor that directly impacts the opening of airports to the public. However, limited research exists on the risks affecting LAOR schedules. This article explores the risk breakdown structure and risk interactions model of LAOR schedule risk. An empirical investigation was conducted on...

journal article 2023

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MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization

Chua, Victoria Y.H. (author), Liu, Hexin (author), Perera, Leibny Paola Garcia (author), Woon, Fei Ting (author), Wong, Jinyi (author), Zhang, X. (author), Khudanpur, Sanjeev (author), Khong, Andy W.H. (author), Dauwels, J.H.G. (author), Styles, Suzy J. (author)

To enhance the reliability and robustness of language identification (LID) and language diarization (LD) systems for heterogeneous populations and scenarios, there is a need for speech processing models to be trained on datasets that feature diverse language registers and speech patterns. We present the MERLIon CCS challenge, featuring a...

journal article 2023

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Investigating model performance in language identification: beyond simple error statistics

Styles, Suzy J. (author), Chua, Victoria Y.H. (author), Woon, Fei Ting (author), Liu, Hexin (author), Perera, Leibny Paola Garcia (author), Khudanpur, Sanjeev (author), Khong, Andy W.H. (author), Dauwels, J.H.G. (author)

Language development experts need tools that can automatically identify languages from fluent, conversational speech and provide reliable estimates of usage rates at the level of an individual recording. However, LID systems are typically evaluated on metrics such as equal error rate and balanced accuracy, applied at the level of an entire...

journal article 2023

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Single-test evaluation of directional elastic properties of anisotropic structured materials

Boddapati, Jagannadh (author), Flaschel, Moritz (author), Kumar, Siddhant (author), De Lorenzis, Laura (author), Daraio, Chiara (author)

When the elastic properties of structured materials become direction-dependent, the number of their descriptors increases. For example, in two-dimensions, the anisotropic behavior of materials is described by up to 6 independent elastic stiffness parameters, as opposed to only 2 needed for isotropic materials. Such high number of parameters...

journal article 2023

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A Time-Frequency Local Polynomial Approach to FRM Estimation from Incomplete Data

Dirkx, Nic (author), Tiels, Koen (author), Oomen, T.A.E. (author)

Frequency Response Matrix (FRM) estimation from measured data is an important step towards the control of complex systems, including motion and thermal systems. Missing samples in the measured data records, e.g., due to sensor failure or faulty data transmission, often occur. In this paper, a method is presented for the nonparametric FRM...

journal article 2023

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Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling

Piadeh, Farzad (author), Behzadian, Kourosh (author), Chen, Albert S. (author), Campos, Luiza C. (author), Rizzuto, Joseph P. (author), Kapelan, Z. (author)

Urban flooding is a major problem for cities around the world, with significant socio-economic consequences. Conventional real-time flood forecasting models rely on continuous time-series data and often have limited accuracy, especially for longer lead times than 2 hrs. This study proposes a novel event-based decision support algorithm for...

journal article 2023

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Bayesian Framework for a MIMO Volterra Tensor Network

Memmel, E.M. (author), Menzen, C.M. (author), Batselier, K. (author)

This paper proposes a Bayesian Volterra tensor network (TN) to solve high-order discrete nonlinear multiple-input multiple-output (MIMO) Volterra system identification problems. Using a low-rank tensor network to compress all Volterra kernels at once, we avoid the exponential growth of monomials with respect to the order of the Volterra...

journal article 2023

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Data-Driven Fault Diagnosis under Sparseness Assumption for LTI Systems

Noom, J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)

Model-based fault diagnosis for dynamical systems is a sophisticated task due to model inaccuracies, measurement noise and many possible fault scenarios. By presenting faults in terms of a dictionary, the latter obstacle is recently addressed using well-known techniques for recovering sparse information (e.g. lasso). However, current state-of...

journal article 2023

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A Khatri-Rao product tensor network for efficient symmetric MIMO Volterra identification

Batselier, K. (author)

The identification of symmetric tensor network MIMO Volterra models has been studied earlier via the computation of a Moore-Penrose pseudoinverse in tensor network form. The current state of the art requires the construction of a tensor network of a repeated Khatri-Rao product of a matrix with itself. This construction has a computational...

journal article 2023

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Examining the role of intrinsic and reflexive contributions to ankle joint hyper-resistance treated with botulinum toxin-A

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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Multimode diagnosis for switched affine systems with noisy measurement

Dong, J. (author), Sharifi K., Arman (author), Mohajerin Esfahani, P. (author)

We study a diagnosis scheme to reliably detect the active mode of discrete-time, switched affine systems in the presence of measurement noise and asynchronous switching. The proposed scheme consists of two parts: (i) the construction of a bank of filters, and (ii) the introduction of a residual/threshold-based diagnosis rule. We develop an...

journal article 2023

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Kernel-based Impulse Response Identification with Side-Information on Steady-State Gain

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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Kernel-based identification with frequency domain side-information

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_∞-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