Article
Automation & Control Systems
Rajamani Doraiswami, Lahouari Cheded
Summary: The study introduces a novel multiple Kalman filtre-based scheme for fault diagnosis and tolerance in non-linear systems, using piecewise linear parameter-varying Box-Jenkins dynamic models and emulators to improve accuracy and robustness.
IET CONTROL THEORY AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Gang Wang, Badong Chen, Xinyue Yang, Bei Peng, Zhenyu Feng
Summary: A robust algorithm has been proposed in this paper to address the instability in numerical calculation of the Kalman filter algorithm based on the minimum error entropy criterion when dealing with impulsive noise. The convergence and stability of the algorithm are verified through performance analysis and simulations, and a method to estimate steady-state errors is proposed in mean square behavior analysis. Simulation results show that the experimental steady-state errors of the algorithm match the theoretical values.
Article
Multidisciplinary Sciences
Kevin Course, Prasanth B. Nair
Summary: This study presents a state estimation technique based on approximate Bayesian approach, which learns the missing terms and state estimation in the mathematical model. It enables state estimation for physical systems with partially or completely unknown dynamical equations.
Article
Computer Science, Interdisciplinary Applications
P. Billoir, M. De Cian, P. A. Guenther, S. Stemmle
Summary: The paper presents an alternative implementation of the Kalman filter used for track fitting in the LHCb experiment, achieving a speedup of more than four times while maintaining the quality of estimated track quantities. This implementation uses simple parametrizations for particle trajectory extrapolation and considers the effects of multiple scattering in detector material.
COMPUTER PHYSICS COMMUNICATIONS
(2021)
Article
Automation & Control Systems
Xuxiang Fan, Gang Wang, Jiachen Han, Yinghui Wang
Summary: In this article, a new Kalman filter algorithm called background-impulse KF (BIKF) is proposed. The measurement noise is divided into background noise and impulse noise, and the parameters are dynamically calculated using the expectation-maximization algorithm to effectively handle the impact of impulse noise.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Aaron D. Curtis, Alexander J. Mertens, Hai-Ling Margaret Cheng
Summary: Robust dynamic cardiac magnetic resonance imaging (MRI) has made significant advancements in the past decade, thanks to compressed sensing (CS) and artificial intelligence (AI). However, limitations in real-time imaging and reconstruction quality still exist. In this study, a novel predictive signal model is proposed that adaptsively predicts temporal cardiac dynamics using a priori statistics, improving reconstruction fidelity. Evaluation on simulated irregular cardiac dynamics and clinical cardiac MRI data demonstrate improved reconstruction quality for two reconstruction frameworks: Kalman filter and CS. The predictive model is also versatile and can work with different undersampling patterns.
SCIENTIFIC REPORTS
(2023)
Article
Meteorology & Atmospheric Sciences
Troy Arcomano, Istvan Szunyogh, Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Edward Ott
Summary: This paper describes the implementation of a combined hybrid-parallel prediction approach on a low-resolution atmospheric global circulation model. The hybrid model, which combines a physics-based numerical model with a machine learning component, produces more accurate forecasts for various atmospheric variables compared to the host model. Furthermore, the hybrid model exhibits smaller systematic errors and more realistic temporal variability in simulating the climate.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Construction & Building Technology
Yanzhe Zhang, Yong Ding, Jianqing Bu, Lina Guo
Summary: The paper proposes a modification to the square root UKF method (MSRUKF) by utilizing QR decomposition, ensuring unconditional numerical stability and improving the tracking capability for time-variant parameters by incorporating an adaptive forgetting factor.
STRUCTURAL CONTROL & HEALTH MONITORING
(2023)
Article
Multidisciplinary Sciences
Liu Wang, Fang Xie, Yong Zhang, Min Xiao, Fang Liu
Summary: This paper proposes a method combining a time delay loop with an extended Kalman filter to improve the measurement accuracy of optical phase tracking.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Multidisciplinary
Liu YiWen, Shi Qin, Wei YuJiang, He ZeJia, Hu XiaoSong, He Lin
Summary: This paper proposes a square root cubature particle filter approach to estimate the state of charge of lithium-ion battery. By using a fractional order model and particle swarm optimization algorithm, the accuracy and computational efficiency of the estimation are improved. Experimental results demonstrate that the proposed approach has better accuracy and robustness.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2022)
Article
Mathematics
Jorge Salvador Valdez-Martinez, Pedro Guevara-Lopez, Gustavo Delgado-Reyes, Diana Lizet Gonzalez-Baldovinos, Jose Luis Cano-Rosas, Manuela Calixto-Rodriguez, Jonathan Villanueva-Tavira, Hector Miguel Buenabad-Arias
Summary: This research paper presents a reconstruction method for communication times in a remote control system based on the Kalman filter. The reconstruction technique allows for compensation of delay times and provides insights into the dynamics of communication times. The validation of the reconstruction is done through analysis of probability moments and covariance moments. The mean square error analysis confirms the effectiveness of the reconstruction technique in accurately capturing the communication time dynamics.
Review
Automation & Control Systems
Guofeng Zhang, Zhiyuan Dong
Summary: This tutorial provides a brief introduction to linear quantum control systems, covering various aspects such as mathematical models, control theory concepts, quantum Gaussian states, quantum Kalman filter, system response, and coherent feedback control. It encompasses important concepts and experimental applications related to quantum information science.
ANNUAL REVIEWS IN CONTROL
(2022)
Article
Quantum Science & Technology
Fang Liu, Kaimin Zheng, Liu Wang, Chuan Xu, Lidan Zhang, TianXin Wang, YuChang Liu, Xiang Li, Lijian Zhang, Yong Zhang, Min Xiao
Summary: In this study, a fiber Mach-Zehnder system is proposed to achieve nearly quantum-limited phase tracking, demonstrating potential applications in fiber-based real-time sensing and measurements.
QUANTUM INFORMATION PROCESSING
(2021)
Article
Engineering, Aerospace
Minglei Du, Haodong Zou, Tinghui Wang, Ke Zhu
Summary: This paper proposes a passive localization algorithm based on UAV aerial images and Angle of Arrival (AOA). The algorithm calculates the target localization factor based on image information and azimuth elements, and obtains the target coordinate value by solving the joint UAV swarm positional information. Experimental results show that the algorithm can significantly improve target positioning accuracy and ensure stable tracking.
Article
Engineering, Electrical & Electronic
Arman Kheirati Roonizi
Summary: Two popular denoising algorithms, l(2) and l(1) trend filtering, are typically used in various fields such as science, engineering, and statistical signal and image processing. The former is a linear time-invariant filter for smoothing noisy data and detrending time-series signals, while the latter is a nonlinear filtering method for estimating piecewise-polynomial signals.
IEEE SIGNAL PROCESSING MAGAZINE
(2021)
Article
Multidisciplinary Sciences
Julian Heckoetter, Valentin Walther, Stefan Scheel, Manfred Bayer, Thomas Pohl, Marc Assmann
Summary: Researchers demonstrated the generation and control of strong exciton interactions in cuprous oxide semiconductors by producing two distinct quantum states of Rydberg excitons through two-color pump-probe experiments. This led to the emergence of strong spatial correlations and an inter-state Rydberg blockade over remarkably large distances. The semiconductor excitons exhibited universal properties dependent on the interaction potential shape, indicating vastly extended-range and power-law character.
NATURE COMMUNICATIONS
(2021)
Article
Physics, Multidisciplinary
Julien Pinske, Stefan Scheel
Summary: We have developed a unified operator framework for quantum holonomies generated from bosonic systems. By considering systems with a Hamiltonian that is bilinear in the creation and annihilation operators, we have discovered a holonomy group that is solely determined by a set of selected orthonormal modes obeying a stronger version of the adiabatic theorem. This photon-number independent approach provides a deeper understanding and computational advantage compared to the standard formalism on geometric phases. Additionally, we have found a strong analogy between quantum holonomies and linear optical networks, offering a specific recipe for making any linear optical quantum computation geometrically robust in terms of adiabatic or nonadiabatic geometric phases.
PHYSICAL REVIEW RESEARCH
(2022)
Article
Optics
Julien Pinske, Stefan Scheel
Summary: This article investigates the generation of non-Abelian geometric phases from a system of evanescently coupled waveguides using nonorthogonal coupled-mode theory. A feasible tripod arrangement of waveguides is studied, which contains dark states that can undergo nontrivial U(2) mixing through an adiabatic parameter variation. The influence of higher-order contributions and self-coupling on the stability of a non-Abelian U(3) phase generated from an optical tetrapod setup is also examined. The results indicate that, despite the mode nonorthogonality, the symmetry of dark states protects the geometric evolution of light from distortion.
Article
Materials Science, Multidisciplinary
Patric Rommel, Joerg Main, Sjard Ole Krueger, Stefan Scheel
Summary: Researchers explored dipole interseries transitions between yellow and green exciton series in cuprous oxide, including the complex valence-band structure, by extending previous studies on the spectrum of complex green exciton resonances. The calculations on interseries transitions were enhanced by a more comprehensive treatment of the valence-band structure, in addition to optical transitions between different exciton states and transitions from the crystal ground state.
Article
Physics, Fluids & Plasmas
Thomas Stielow, Stefan Scheel
Summary: Single-shot wide-angle diffraction imaging is a method widely used for investigating the structure of noncrystallizing objects, with no need for tomographic measurements to reconstruct the object's three-dimensional structure. Neural networks excel in image processing tasks and can be utilized for reconstructing object structures.
Article
Computer Science, Artificial Intelligence
T. Stielow, R. Schmidt, C. Peltz, T. Fennel, S. Scheel
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
(2020)
Article
Optics
Helge Dobbertin, Robert Loew, Stefan Scheel
Article
Optics
Julien Pinske, Lucas Teuber, Stefan Scheel
Article
Materials Science, Multidisciplinary
Sjard Ole Krueger, Heinrich Stolz, Stefan Scheel
Article
Optics
Lucas Teuber, Stefan Scheel
Article
Optics
Johannes Block, Stefan Scheel
Article
Physics, Multidisciplinary
Mark Kremer, Lucas Teuber, Alexander Szameit, Stefan Scheel
PHYSICAL REVIEW RESEARCH
(2019)
Article
Optics
Julien Pinske, Lucas Teuber, Stefan Scheel
Proceedings Paper
Nanoscience & Nanotechnology
M. Kurz, S. Scheel
12TH INTERNATIONAL CONFERENCE ON EXCITONIC AND PHOTONIC PROCESSES IN CONDENSED MATTER AND NANO MATERIALS (EXCON 2018)
(2019)
Article
Materials Science, Multidisciplinary
Markus Kurz, Stefan Scheel