Searched for: subject%3A%22recursive%255C+least%255C+squares%22
(1 - 13 of 13)
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Palings, Rik (author)
Haptic Shared Control (HSC) systems offer a means to naturally support human drivers in the transition to automated driving. Tuning of HSC requires knowledge of the neuromuscular system (NMS) of drivers. This MSc thesis project aimed to experimentally validate a linear parameter varying (LPV) technique for modeling driver neuromuscular...
master thesis 2022
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van der Heijden, D.S. (author), Ledergerber, Anton (author), Gill, Rajan (author), D'Andrea, Raffaello (author)
An iterative bias estimation framework is presented that mitigates position-dependent ranging errors often present in ultra-wideband localization systems. State estimation and control are integrated, such that the positioning accuracy improves over iterations. The framework is experimentally evaluated on a quadcopter platform, resulting in...
journal article 2021
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Linssen, Menno (author)
A better understanding of time-varying multimodal human operator control behaviour is required for the development of advanced adaptive control support systems for cases when vehicle dynamics suddenly change, e.g., a stability augmentation system failure. For this research, an approach based on recursive autoregressive exogenous (ARX) models is...
master thesis 2020
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van der Heijden, Bas (author)
Three bias estimation frameworks are presented that mitigate position-dependent ranging errors often present in ultra-wideband localization systems. State estimation and control are integrated, such that the positioning accuracy improves over iterations. The frameworks are experimentally evaluated on a quadcopter platform. Two state augmentation...
master thesis 2019
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Abdul Rozak Rivai Fassah, Abdul (author)
In recent years, developments in the field of aerospace materials and structures has been bringing major breakthroughs in the construction of air vehicles to be more lightweight yet with higher strength. However, the aircraft body can deform more appreciably due to the occurrence of flow separation and flutter. Therefore, active control is...
master thesis 2019
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Monchen, Guido (author), Sinquin, B. (author), Verhaegen, M.H.G. (author)
This brief presents an algorithm for the recursive identification of Vector AutoRegressive (VAR) models of large dimensions. We consider a VAR model where the coefficient matrices can be written as a sum of Kronecker products. The algorithm proposed consists of recursively updating the Kronecker factor matrices at each new time step using...
journal article 2018
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Verburg, Quintus (author)
Parameter and ambiguity estimation in the temporal domain, for arcs of differential phase observations between two persistent scatterers (PS), is a critical part in Persistent Scatterer Interferometry (PSI). Deformation models, used as constraint in the parameter estimation, often do not capture the full extent of the deformation behaviour. This...
master thesis 2017
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van Grootheest, H.A. (author)
The time-varying adaptation ability of human operators in basic manual-control tasks is barely understood. Most identification methods do not explicitly take into account any time variations. An identification procedure based on both batch and recursive autoregressive exogenous (ARX) models is presented for capturing the operator's controlled...
master thesis 2017
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Monchen, G. (author)
Adaptive Optics (AO) play an essential role in the field of astronomical seeing for ground-based telescopes, providing a corrected image from the disturbance caused by the light having to travel through the turbulent atmosphere of our Earth. To provide us with more detailed images, the sizes of these telescopes are getting increasingly larger....
master thesis 2017
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Qin, Lilong (author), Wu, Manqing (author), Wang, X. (author), Dong, Zhen (author)
Motivated by the sparsity of filter coefficients in full-dimension space-Time adaptive processing (STAP) algorithms, this paper proposes a fast ℓ1-regularized STAP algorithm based on the alternating direction method of multipliers to accelerate the convergence and reduce the calculations. The proposed algorithm uses a splitting variable to...
journal article 2017
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Ciocca, M. (author)
The goal of this thesis is to develop online model-based parameter estimation techniques for robotics towards extracting geometrical or physical properties of an unknown (or partially unknown) dynamic environment through a tactile interaction with it. The thesis focuses on a one-dimensional case of a rigid movable object, not yet studied in the...
master thesis 2016
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Shah, S.A. (author)
Road safety has been the subject of interest for research from the time the first automotive was invented. Safety has been characterized by many factors but the most prominent is maintaining control over the vehicle motion in all situations. Modern safety systems especially Antilock Braking System (ABS) in combination with Electronic Stability...
master thesis 2016
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Van Gils, P. (author)
This thesis deals with the development of Adaptive Incremental Backstepping control laws for a high-performance aircraft model (F-16), in order to make the airplane robustly seek references in roll rate and angle of attack at a constant airspeed while minimizing sideslip. An Incremental Backstepping scheme that relies on estimates of the angular...
master thesis 2015
Searched for: subject%3A%22recursive%255C+least%255C+squares%22
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