Search results for "Systems engineering"

showing 10 items of 1230 documents

Descriptor-type Kalman Filter and TLS EXIN Speed Estimate for Sensorless Control of a Linear Induction Motor.

2014

This paper proposes a speed observer for linear induction motors (LIMs), which is composed of two parts: 1) a linear Kalman filter (KF) for the online estimation of the inductor currents and induced part flux linkage components; and 2) a speed estimator based on the total least squares (TLS) EXIN neuron. The TLS estimator receives as inputs the state variables, estimated by the KF, and provides as output the LIM linear speed, which is fed back to the KF and the control system. The KF is based on the classic space-vector model of the rotating induction machine. The end effects of the LIMs have been considered an uncertainty treated by the KF. The TLS EXIN neuron has been used to compute, in …

State variableEngineeringObserver (quantum physics)neural networks (NNs)linear induction motor controlLinear Induction Motor (LIM) Kalman Filter Total Least-Squares Neural Networks.Industrial and Manufacturing EngineeringSettore ING-INF/04 - AutomaticaKalman filter (KF)Control theorylinear induction motor (LIM)state estimationElectrical and Electronic EngineeringTotal least squaresAlpha beta filterArtificial neural networkbusiness.industryEstimatorKalman filterLinear motorFlux linkagetotal least squares (TLS)Control and Systems EngineeringLinear induction motorbusinessInduction motor
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Inversion of matrix pencils for generalized systems

1993

Abstract This paper clarifies the nature of the Leverrier-Faddeev algorithm for generalized and state-space systems. It presents useful diagrams for recursive computation of the coefficients of the characteristic polynomial and the coefficient matrices of the adjoint matrix for various matrix pencils. A simplified case covers recursive equations and diagrams for inversion of the second-order matrix pencil (Es2 + A1s + A0) where E may be singular. The appendix provides two examples of mechanical and heat exchange systems which can be described by the generalized models.

State-transition matrixComputer Networks and CommunicationsApplied MathematicsMathematicsofComputing_NUMERICALANALYSISSingle-entry matrixInversion (discrete mathematics)Matrix (mathematics)Adjugate matrixControl and Systems EngineeringComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONSignal ProcessingCalculusMatrix pencilState spaceApplied mathematicsMathematicsCharacteristic polynomialJournal of the Franklin Institute
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Special issue on ambient advancements in intelligent computational sciences

2018

Statistics and ProbabilityEngineeringArtificial Intelligencebusiness.industryGeneral EngineeringSystems engineeringbusinessJournal of Intelligent & Fuzzy Systems
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Steady-state dynamic response of various hysteretic systems endowed with fractional derivative elements

2019

In this paper, the steady-state dynamic response of hysteretic oscillators comprising fractional derivative elements and subjected to harmonic excitation is examined. Notably, this problem may arise in several circumstances, as for instance, when structures which inherently exhibit hysteretic behavior are supplemented with dampers or isolators often modeled by employing fractional terms. The amplitude of the steady-state response is determined analytically by using an equivalent linearization approach. The procedure yields an equivalent linear system with stiffness and damping coefficients which are related to the amplitude of the response, but also, to the order of the fractional derivativ…

Steady state (electronics)Applied MathematicsMechanical EngineeringMathematical analysisLinear systemAerospace EngineeringBilinear interpolationEquations of motionEquivalent linearizationOcean EngineeringFractional derivative01 natural sciencesHysteretic systemDamperFractional calculusNonlinear systemHysteresisControl and Systems Engineering0103 physical sciencesElectrical and Electronic Engineering010301 acousticsSteady-state responseMathematics
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Steady-state and tracking analysis of a robust adaptive filter with low computational cost

2007

This paper analyses a new adaptive algorithm that is robust to impulse noise and has a low computational load [E. Soria, J.D. Martin, A.J. Serrano, J. Calpe, and J. Chambers, A new robust adaptive algorithm with low computacional cost, Electron. Lett. 42 (1) (2006) 60-62]. The algorithm is based on two premises: the use of the cost function often used in independent component analysis and a fuzzy modelling of the hyperbolic tangent function. The steady-state error and tracking capability of the algorithm are analysed using conservation methods [A. Sayed, Fundamentals of Adaptive Filtering, Wiley, New York, 2003], thus verifying the correspondence between theory and experimental results.

Steady stateComputational complexity theoryAdaptive algorithmFunction (mathematics)Tracking (particle physics)Impulse noiseIndependent component analysisAdaptive filterControl and Systems EngineeringControl theorySignal ProcessingComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringSoftwareMathematicsSignal Processing
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Realization of an Energetic Hub Based on a High-Performance Dish Stirling Plant

2018

In this work the realization of an energetic hub based on a high-performances dish Stirling system, at the DEIM of the University of Palermo, is presented. The realized system is the first top rated solar thermodynamic plant directly connected to the national electric grid. The connection permits the electricity injection into the grid and allows to access to national renewable energy incentives regime. The system realization was possible thanks to an international cooperation between the University of Palermo and the private company Horizon S.r.l., official partner of Ripasso Energy AB, owner of this technology. Initial data of the plant energy production and the foreseen improvements for …

Stirling engineComputer scienceElectric storageElectric generatorEnergy Engineering and Power TechnologyHybrid SystemIndustrial and Manufacturing Engineeringlaw.inventionlawArtificial IntelligenceRenewable EnergyInstrumentationDish StirlingSolar plantSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryRenewable Energy Sustainability and the EnvironmentComputer Science Applications1707 Computer Vision and Pattern RecognitionGridRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaComputer Networks and CommunicationWork (electrical)Systems engineeringElectricitybusinessRealization (systems)Thermal energyThermal Storage
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Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line

2021

This paper introduces a novel approach to representing continuous inputs in Tsetlin Machines (TMs). Instead of using one Tsetlin Automaton (TA) for every unique threshold found when Booleanizing continuous input, we employ two Stochastic Searching on the Line (SSL) automata to learn discriminative lower and upper bounds. The two resulting Boolean features are adapted to the rest of the clause by equipping each clause with its own team of SSLs, which update the bounds during the learning process. Two standard TAs finally decide whether to include the resulting features as part of the clause. In this way, only four automata altogether represent one continuous feature (instead of potentially h…

Stochastic Searching on the Line automatonBoosting (machine learning)decision support systemTK7800-8360Computer Networks and CommunicationsComputer scienceDiscriminative modelFeature (machine learning)Electrical and Electronic EngineeringArtificial neural networkrule-based learninginterpretable machine learninginterpretable AISparse approximationAutomatonRandom forestSupport vector machineVDP::Teknologi: 500Tsetlin MachineXAIHardware and ArchitectureControl and Systems EngineeringSignal ProcessingElectronicsTsetlin automataAlgorithm
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Dynamic Demand and Mean-Field Games

2017

Within the realm of smart buildings and smart cities,\ud dynamic response management is playing an ever-increasing\ud role thus attracting the attention of scientists from different\ud disciplines. Dynamic demand response management involves a\ud set of operations aiming at decentralizing the control of loads\ud in large and complex power networks. Each single appliance\ud is fully responsive and readjusts its energy demand to the\ud overall network load. A main issue is related to mains frequency\ud oscillations resulting from an unbalance between supply and\ud demand. In a nutshell, this paper contributes to the topic by\ud equipping each signal consumer with strategic insight. In particu…

Stochastic control0209 industrial biotechnologyeducation.field_of_studyMains electricityComputer sciencebusiness.industryStochastic process020209 energyPopulationMean-field games power networks stochastic stability02 engineering and technologyIndustrial engineeringComputer Science ApplicationsSupply and demandVehicle dynamics020901 industrial engineering & automationControl and Systems EngineeringControl theoryDynamic demand0202 electrical engineering electronic engineering information engineeringSettore MAT/09 - Ricerca OperativaElectrical and Electronic EngineeringeducationbusinessBuilding automationIEEE Transactions on Automatic Control
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Nonlocal Elastic-Damage Interface Mechanical Model

2007

The paper presents a nonlocal extension of the elastic-damage interface mechanical model, which is able to describe the effects of the spatially extended microstructure on the decohesion (or fracture) process along a surface. The key feature of the proposed model is an integral constitutive relation between tractions and displacement jumps at the interface. The presence of an integral kernel brings in the model an internal length measure, which characterizes the transition from the microscale, dominated by heterogeneities and discontinuous media, to the mesoscale, characterized as an enhanced homogenized continuum with nonlocal features. The motivations and the fields of applications of the…

Strong nonlocalityMaterials scienceDamageComputer Networks and CommunicationsControl and Systems EngineeringInterface (Java)Nonlocal mechanicComputational MechanicsThermodynamicsMechanicsDecohesionInterfaceInternal length
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STRONTIUM CONCENTRATION DEPENDENCE OF SELECTED STRUCTURAL AND MECHANICAL PROPERTIES OF POLYCRYSTALLINE Ba1−XSrXTiO3

2009

ABSTRACT Microstructure and material constants such as Young modulus E, shear modulus G, Poisson ratioν of polycrystalline ferroelectric materials Ba1-xSrxTiO3 for 0≤x≤0.4 were investigated to determine their dependence on strontium concentration. The performed investigations showed that the material is chemically homogeneous. It was found that the strontium concentration had no significant influence on the grain size. The highest value of Young's modulus is observed for Ba0.6Sr0.4TiO3 sample. The performed investigations of mechanical properties made it possible to evaluate the usability of this material for manufacturing transducers and sensors which could work under load.

StrontiumMaterials scienceModulusMineralogychemistry.chemical_elementYoung's modulusCondensed Matter PhysicsMicrostructureFerroelectricityGrain sizeElectronic Optical and Magnetic MaterialsShear modulussymbols.namesakechemistryControl and Systems EngineeringMaterials ChemistryCeramics and CompositessymbolsCrystalliteElectrical and Electronic EngineeringComposite materialIntegrated Ferroelectrics
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