Search results for "Hilbert"

showing 10 items of 331 documents

Input-to-State Stability of Lur’e Hyperbolic Distributed Complex-Valued Parameter Control Systems: LOI Approach

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/364057 Open access In this work, input-to-state stability of Lur'e hyperbolic distributed complex-valued parameter control systems has been addressed. Using comparison principle, delay-dependent sufficient conditions for the input-to-state stability in complex Hilbert spaces are established in terms of linear operator inequalities. Finally, numerical computation illustrates our result.

Work (thermodynamics)Parameter controlArticle SubjectGeneral MathematicsComputationlcsh:MathematicsGeneral EngineeringHilbert spaceComplex valuedState (functional analysis)lcsh:QA1-939Stability (probability)VDP::Mathematics and natural science: 400::Mathematics: 410Linear mapsymbols.namesakeControl theorylcsh:TA1-2040symbolsApplied mathematicslcsh:Engineering (General). Civil engineering (General)MathematicsMathematical Problems in Engineering
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Convergence rate of a relaxed inertial proximal algorithm for convex minimization

2018

International audience; In a Hilbert space setting, the authors recently introduced a general class of relaxed inertial proximal algorithms that aim to solve monotone inclusions. In this paper, we specialize this study in the case of non-smooth convex minimization problems. We obtain convergence rates for values which have similarities with the results based on the Nesterov accelerated gradient method. The joint adjustment of inertia, relaxation and proximal terms plays a central role. In doing so, we highlight inertial proximal algorithms that converge for general monotone inclusions, and which, in the case of convex minimization, give fast convergence rates of values in the worst case.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Class (set theory)Control and OptimizationInertial frame of referenceLyapunov analysis0211 other engineering and technologies02 engineering and technologyManagement Science and Operations Research01 natural sciencessymbols.namesakenonsmooth convex minimizationrelaxationweak-convergence0101 mathematics[MATH]Mathematics [math]point algorithmMathematics021103 operations researchWeak convergence[QFIN]Quantitative Finance [q-fin]Applied MathematicsHilbert space[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]dynamicsmaximally monotone operatorsInertial proximal method010101 applied mathematicsMonotone polygonRate of convergenceConvex optimizationmaximal monotone-operatorssymbolsRelaxation (approximation)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]subdifferential of convex functionsAlgorithm
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Abnormal textures identification based on digital Hilbert optics methods: fundamental transforms and models

2018

The article presents the abnormal textures identification technology based on structural and statistical models of amplitude-phase images (APIm)– multidimensional data arrays (semantic models) and statistical correlation analysis methods using the generalized discrete Hilbert transforms (DHT)– 2D Hilbert (Foucault) isotropic (HTI), anisotropic (HTA) and total transforms – AP-analysis (APA) to calculate the APIm. The identified fragments of textures are obtained as examples of experimental observation of real mammograms contains areas of pathological tissues. The DHT based information technology as conceptual chart description is discussed and illustrated with DHO domain images. As additiona…

amplitude-phase imagesgeneralized Hilbert transformsabnormal textures identification
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A damage identification procedure based on Hilbert transform: Experimental validation

2010

SUMMARY This paper aims at validating the feasibility of an identification procedure, based on the use of the Hilbert transform, by means of experimental tests for shear-type multi-degree-of-freedom systems. Particularly, a three-degree-of-freedom frame will be studied either numerically or experimentally by means of a laboratory scale model built at the laboratory of the Structural, Aerospace and Geotechnical Engineering Department (DISAG) of University of Palermo. Several damage scenarios have been considered to prove the effectiveness of the procedure. Moreover, the experimental tests have been conducted by considering two different input loads: pulse forces, simulated by means of an ins…

business.industryComputer scienceNoise (signal processing)Frame (networking)SIGNAL (programming language)incipient damageBuilding and ConstructionStructural engineeringHilbert transformIdentification (information)symbols.namesakeData acquisitionMechanics of MaterialssymbolsEarthquake shaking tableMinificationHilbert transformSettore ICAR/08 - Scienza Delle CostruzionibusinessAlgorithmanalytical signalCivil and Structural EngineeringStructural Control and Health Monitoring
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What is Mathematics: Gödel's Theorem and Around (Edition 2015)

2015

Hyper-textbook for students in mathematical logic and foundations of mathematics. Edition 2015.

foundations of mathematics:MATHEMATICS [Research Subject Categories]MathematicsofComputing_GENERALComputingMilieux_COMPUTERSANDEDUCATIONincompleteness theoremsmathematical logicaxiomatic set theoryHilbert's Tenth problemfirst order arithmetic
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ON SOME GENERALIZATION OF SMOOTHING PROBLEMS

2015

The paper deals with the generalized smoothing problem in abstract Hilbert spaces. This generalized problem involves particular cases such as the interpolating problem, the smoothing problem with weights, the smoothing problem with obstacles, the problem on splines in convex sets and others. The theorem on the existence and characterization of a solution of the generalized problem is proved. It is shown how the theorem gives already known theorems in special cases as well as some new results.

interpolating splinesBox splineGeneralizationsmoothing splinesRegular polygonHilbert spaceCharacterization (mathematics)CombinatoricsSmoothing splinesymbols.namesakeModeling and Simulationmixed splinesQA1-939symbolsApplied mathematicssplines in convex setsMathematicsAnalysisSmoothingComputingMethodologies_COMPUTERGRAPHICSMathematicsMathematical Modelling and Analysis
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Fundamental bounds on qubit reset

2020

Qubit reset is a basic prerequisite for operating quantum devices, requiring the export of entropy. The fastest and most accurate way to reset a qubit is obtained by coupling the qubit to an ancilla on demand. Here, we derive fundamental bounds on qubit reset in terms of maximum fidelity and minimum time, assuming control over the qubit and no control over the ancilla. Using the Cartan decomposition of the Lie algebra of qubit plus two-level ancilla, we identify the types of interaction and controls for which the qubit can be purified. For these configurations, we show that a time-optimal protocol consists of purity exchange between qubit and ancilla brought into resonance, where the maximu…

media_common.quotation_subjectFOS: Physical sciencesQuantum controlFidelityTopology53001 natural sciences010305 fluids & plasmassymbols.namesakeComputer Science::Emerging TechnologiesDimension (vector space)0103 physical sciencesQuantum information architectures & platformsQuantum information010306 general physicsQuantum information architectures & platformsmedia_commonPhysicsQuantum Physics500 Naturwissenschaften und Mathematik::530 Physik::530 PhysikHilbert spaceQuantum controlQuantum PhysicsQubitsymbolsQuantum InformationQuantum Physics (quant-ph)Reset (computing)
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Empirical Mode Decomposition on Mismatch Negativity

2008

Empirical mode decomposition (EMD) has been applied in the various disciplines to extract the desired signal. The basic principle is to decompose a time series into intrinsic mode functions (IFMs) and each IFM corresponds to an oscillation phenomenon. A statistical description of the oscillatory activities of the EEG has been well known. It is desired to extract single oscillatory process from the EEG by EMD. Mismatch negativity (MMN) can be automatically elicited by the deviant stimulus in an oddball paradigm, in which physically the deviant stimulus occurs among repetitive and homogeneous stimuli. MMN thus reflects the ability of the brain to detect changes in auditory stimuli. So, the MM…

medicine.diagnostic_testbusiness.industryMismatch negativityPattern recognitionElectroencephalographyHilbert–Huang transformTime–frequency analysisEvent-related potentialFrequency domainmedicineArtificial intelligenceInfomaxbusinessOddball paradigmMathematics
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The Principles of Quantum Theory

2013

This chapter develops the formal framework of quantum mechanics: the mathematical tools, generalization and abstraction of the notion of state, representation theory, and a first version of the postulates on which quantum theory rests.

medicine.medical_specialtyComputer scienceGeneralizationQuantum dynamicsHilbert spaceRelationship between string theory and quantum field theoryAbstraction (mathematics)symbols.namesakeOpen quantum systemQuantum stateQuantum mechanicssymbolsQuantum nanosciencemedicine
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An EEMD Aided Comparison of Time Histories and Its Application in Vehicle Safety

2017

In the context of signal processing, the comparison of time histories is required for different purposes, especially for the model validation of vehicle safety. Most of the existing metrics focus on the mathematical value only. Therefore, they suffer the measuring errors, disturbance, and uncertainties and can hardly achieve a stable result with a clear physical interpretation. This paper proposes a novel scheme of time histories comparison to be used in vehicle safety analysis. More specifically, each signal for comparison is decomposed into a trend signal and several intrinsic mode functions (IMFs) by ensemble empirical mode decomposition. The trend signals reflect the general variation a…

model validationDynamic time warpingGeneral Computer ScienceComputer science02 engineering and technologyHilbert–Huang transformEngineering (all)0203 mechanical engineeringVehicle safety0202 electrical engineering electronic engineering information engineeringIn vehicledynamic time warping (DTW)General Materials Sciencevehicle crashSimulationSignal processingdynamic time warping (DTW); Ensemble Empirical Mode Decomposition (EEMD); model validation; Time-history; vehicle crash; Computer Science (all); Materials Science (all); Engineering (all)Computer Science (all)General Engineering020302 automobile design & engineeringEnsemble Empirical Mode Decomposition (EEMD)Measurement uncertainty020201 artificial intelligence & image processingMaterials Science (all)lcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971AlgorithmTime-historyShape analysis (digital geometry)Motor vehicle crash
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