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Nuclear Norm-Based Recursive Subspace Identification for Wind Turbine Flutter Detection

Sachin T. Navalkar, Jan-Willem van Wingerden
2018 IEEE Transactions on Control Systems Technology  
In this paper, a recursive subspace identification algorithm is augmented with a nuclear norm-based cost function for the rapid identification of changes in the dominant system behavior.  ...  Index Terms-Nuclear norm, randomized singular value decomposition (SVD), recursive identification, wind energy.  ...  M. van Geest for the design and construction of the experimental setup. They would also like to thank B. Telsang for her investigation of fast SVD methods suitable for online real-time implementation.  ... 
doi:10.1109/tcst.2017.2692751 fatcat:xnzo73n3zjhx3aidcpg3qrilry

Cross‐spectral synergy and consonant identification

Thomas Ulrich Christiansen, Steven Greenberg
2008 Journal of the Acoustical Society of America  
Solved numerically once for each mode, the acoustic field can be expressed in terms of the modal amplitudes in closed form. These amplitudes can be adjusted to tailor the spatial variation.  ...  To compensate for the approximations, modelers typically estimate scattering coefficients for the surfaces to account stochastically for the actual, wavelength-dependent variations in reflection directionality  ...  Real-time knowledge of contaminants in water is an essential component of any potable water security system. Latex immunoassay is the basic technique in rapid identification of pathogens.  ... 
doi:10.1121/1.2935680 fatcat:znwocm35unasharfwbcap5omim

Past, present and future of nonlinear system identification in structural dynamics

Gaëtan Kerschen, Keith Worden, Alexander F. Vakakis, Jean-Claude Golinval
2006 Mechanical systems and signal processing  
This survey paper contains a review of the past and recent developments in system identification of nonlinear dynamical structures.  ...  The objective is to present some of the popular approaches that have been proposed in the technical literature, to illustrate them using numerical and experimental applications, to highlight their assets  ...  In (Epureanu and Hashmi, 2005 [55] ), the geometric shape of dynamic attractors is exploited to enhance small parametric variations in a system.  ... 
doi:10.1016/j.ymssp.2005.04.008 fatcat:fk6zjwb2rvedpm7xjky4454gpm

Highlighted Aspects From Black Box Fuzzy Modeling For Advanced Control Systems Design [chapter]

Ginalber Luiz de Oliveira Serra
2012 Frontiers in Advanced Control Systems  
In the last two decades, fuzzy systems have been useful for identification and control of complex nonlinear dynamical systems.  ...  bounded and that the outputs of the closed-loop system track asymptotically the desired output trajectories.  ...  (56)-(59) compose the recursive algorithm to be implemented so the consequent parameters of a Takagi-Sugeno fuzzy model can be estimated from experimental data.  ... 
doi:10.5772/45717 fatcat:7kpht6qyrvfo5mvycl2svi7oci

A Combined Multiple Model Adaptive Control Scheme and Its Application to Nonlinear Systems With Nonlinear Parameterization

Weitian Chen, Brian D. O. Anderson
2012 IEEE Transactions on Automatic Control  
Author's reply to comments on "Decentralized stabilization of intercon-  ...  ., +, TAC Feb. 2012 457-462 Active Robust Fault Detection in Closed-Loop Systems: Quadratic Opti- mization Approach.  ...  ., +, TAC June 2012 1527-1532 Active Robust Fault Detection in Closed-Loop Systems: Quadratic Opti- mization Approach.  ... 
doi:10.1109/tac.2011.2176162 fatcat:2airdooti5fi7kmuozmodywcga

Steam power plant configuration, design, and control

Xiao Wu, Jiong Shen, Yiguo Li, Kwang Y. Lee
2015 Wiley Interdisciplinary Reviews: Energy and Environment  
First, a brief introduction of FFPP fundamentals and configurations are presented, followed by the description of conventional PID-based control system in the FFPPs and its short-comings.  ...  These new technologies are collected from both the academic studies and industrial practices, which can improve the performance of the FFPP control system for more economic and safe plant operation.  ...  a controller which could minimize the H ∞ norm as an objective function will naturally reduce the closed-loop impact of a perturbation, and enhance the stabilization or performance. 20, 21 To guarantee  ... 
doi:10.1002/wene.161 fatcat:56vsu6oad5dshfqj2errb52lvu

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number.  ...  ., +, TIM 2021 8001113 Enhancement in Dynamic Range of Amplitude-Modulated Continu-D Dairy products Affordable Time-Domain Reflectometry System for Rapid Food Analysis.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

\mathcal{O}(N) methods in electronic structure calculations

D R Bowler, T Miyazaki
2012 Reports on progress in physics (Print)  
Linear scaling methods, or O(N) methods, have computational and memory requirements which scale linearly with the number of atoms in the system, N, in contrast to standard approaches which scale with the  ...  The theory behind the locality of electronic structure is described and related to physical properties of systems to be modelled, along with a survey of recent developments in real-space methods which  ...  Acknowledgments The authors gratefully acknowledge many years of support and encouragement from Professor Mike Gillan, as well as many helpful suggestions and useful data from  ... 
doi:10.1088/0034-4885/75/3/036503 pmid:22790422 fatcat:uu4ktoebdfgxhoaw4chpfqkucq

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  ., +, TIM July 2020 4578-4591 Closed loop systems A Closed-Loop Capacitance-to-Frequency Converter for Single-Element and Differential Capacitive Sensors.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
TA8a3-11 on the Relation Between Blind System identification and Subspace Tracking and Associated generalizations Herbert Buchner, Karim Helwani, Berlin University of Technology Blind system identification  ...  Inspired by recent results in low-rank matrix completion theory, we show that the convex envelope of the sum of ranks of the interference matrices is the sum of their corresponding nuclear norms.  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

The Variational Quantum Eigensolver: a review of methods and best practices [article]

Jules Tilly, Hongxiang Chen, Shuxiang Cao, Dario Picozzi, Kanav Setia, Ying Li, Edward Grant, Leonard Wossnig, Ivan Rungger, George H. Booth, Jonathan Tennyson
2022 arXiv   pre-print
potential appearance of vanishing gradients in the optimization process, and how the number of iterations required for the optimization scales with system size; (4) the extent to which VQE suffers for  ...  The variational quantum eigensolver (or VQE) uses the variational principle to compute the ground state energy of a Hamiltonian, a problem that is central to quantum chemistry and condensed matter physics  ...  [658] discusses a method to enhance the rate of information gain when sampling in quantum computers for estimating expectation values.  ... 
arXiv:2111.05176v3 fatcat:6ueiefhcondr5j7qictjepzjfq

Index—Volumes 1–89

1997 Artificial Intelligence  
creation of descriptions of system behavior 2'71 critical phenomena 1304 dynamical systems 540,551,1113, 1176 automatic analysis of -540 coupled -1158 identification 1176 in phslse space 1113  ...  -9 15 extranuclear kinds of -636 fixed -516,699 floating -699 monadic -1379 nuclear kinds of -636 random -249 recursive -536 varying -699 predication of a syntactic item 216 sortal "' 904  ...  mathematics of non-monotonic-150 mechanism 381 mechanized formal -152 meta-level -185 method geometric -12 17 methods choices of -1157 models inexact -906 multiple inheritance -966 multiple lines of -  ... 
doi:10.1016/s0004-3702(97)80122-1 fatcat:6az7xycuifaerl7kmv7l3x6rpm

Recent advances in mechatronics

Okyay Kaynak
1996 Robotics and Autonomous Systems  
The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or  ...  Typesetting: Camera-ready by Contributors SPIN 10717447 543210 (Robotics Society of Japan) and SICE (Society of Instr. and Control Engineers of Japan).  ...  The work was supported in part by the Asahi Glass Foundation, and by the Ministry of Education, Science and Culture under Grant-in-Aid for Developmental Scientific Research.  ... 
doi:10.1016/s0921-8890(96)00039-5 fatcat:l5fd4hwa2rbu3l6f2jucyj2fxy

Ab Initio Machine Learning in Chemical Compound Space

Bing Huang, O. Anatole von Lilienfeld
2021 Chemical Reviews  
The first-principles based virtual sampling of this space, for example, in search of novel molecules or materials which exhibit desirable properties, is therefore prohibitive for all but the smallest subsets  ...  They rigorously reflect the underlying physics in order to reach universality and transferability across CCS.  ...  Faber for helping with the design of Figures 1 and 2  ... 
doi:10.1021/acs.chemrev.0c01303 pmid:34387476 pmcid:PMC8391942 fatcat:k7tezwtjivhklj5rcwsm6vjhgi

Ab initio machine learning in chemical compound space [article]

Bing Huang, O. Anatole von Lilienfeld
2021 arXiv   pre-print
The first principles based virtual sampling of this space, for example in search of novel molecules or materials which exhibit desirable properties, is therefore prohibitive for all but the smallest sub-sets  ...  They rigorously reflect the underlying physics in order to reach universality and transferability across CCS.  ...  of nuclear charges and nuclear coordinates are intimately linked.  ... 
arXiv:2012.07502v4 fatcat:2sfiyd5uwzdblafxjv4vmh3ule
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