Search results for "Systems engineering"

showing 10 items of 1230 documents

Managing expert knowledge in water network expansion project implementation

2021

[EN] The implementation of expansion projects of water networks supplying growing cities is deemed to be a complex decision-making problem involving both technical aspects and expert knowledge. Management and control processes must rely on experts in the field whose know-how must be coupled with techniques able to deal with the natural subjectivity that affects input evaluations. Given the presence of many decision-making elements, the choice of proper hydraulic technical parameters may be linked to the main aspects of analysis requiring formal expert evaluation. In this contribution, the simulation of hydraulic indicators is integrated with a multi-criteria approach able to eventually dete…

Network expansionEngineering managementComplex systemsExpansion projectControl and Systems EngineeringProject implementationComputer scienceEPAnet software 2.0Water distribution networksTOPSISMATEMATICA APLICADAManagement and control
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WCLL breeding blanket design and integration for DEMO 2015: status and perspectives

2017

Abstract Water-cooled lithium-lead breeding blanket is considered a candidate option for European DEMO nuclear fusion reactor. ENEA and the linked third parties have proposed and are developing a multi-module blanket segment concept based on DEMO 2015 specifications. The layout of the module is based on horizontal (i.e. radial-toroidal) water-cooling tubes in the breeding zone, and on lithium lead flowing in radial-poloidal direction. This design choice is driven by the rationale to have a modular design, where a basic geometry is repeated along the poloidal direction. The modules are connected with a back supporting structure, designed to withstand thermal and mechanical loads due to norma…

Neutron transportComputer scienceBlanket7. Clean energy01 natural sciencesbreeding blanket; CFD; DEMO; WCLL010305 fluids & plasmaslaw.inventionlaw0103 physical sciencesDesign choiceGeneral Materials Science010306 general physicsWCLL Breeding blanket DEMOSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringWCLL Breeding blanket DEMObusiness.industryMechanical EngineeringLead systemPressurized water reactorFusion powerModular designNuclear Energy and EngineeringSystems engineeringbusinessTransport systemFusion Engineering and Design
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Fractional differential calculus for 3D mechanically based non-local elasticity

2011

This paper aims to formulate the three-dimensional (3D) problem of non-local elasticity in terms of fractional differential operators. The non-local continuum is framed in the context of the mechanically based non-local elasticity established by the authors in a previous study; Non-local interactions are expressed in terms of central body forces depending on the relative displacement between non-adjacent volume elements as well as on the product of interacting volumes. The non-local, long-range interactions are assumed to be proportional to a power-law decaying function of the interaction distance. It is shown that, as far as an unbounded domain is considered, the elastic equilibrium proble…

Non-local elasticityCentral marchaud fractional derivativeComputer Networks and CommunicationsComputational MechanicsTime-scale calculusElasticity (physics)Non localFractional calculusLong-range interactionControl and Systems EngineeringCalculusFractional differentialSettore ICAR/08 - Scienza Delle CostruzioniFractional differential calculuFractional finite differenceMathematics
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Data-based modeling of vehicle collisions by nonlinear autoregressive model and feedforward neural network

2013

Vehicle crash test is the most direct and common method to assess vehicle crashworthiness. Visual inspection and obtained measurements, such as car acceleration, are used, e.g. to examine impact severity of an occupant or to assess overall car safety. However, those experiments are complex, time-consuming, and expensive. We propose a method to reproduce car kinematics during a collision using nonlinear autoregressive (NAR) model which parameters are estimated by the use of feedforward neural network. NAR model presented in this study is derived from the more general one - nonlinear autoregressive with moving average (NARMA). Suitability of autoregressive systems for data-based modeling was …

Nonlinear autoregressive exogenous modelInformation Systems and ManagementArtificial neural networkComputer scienceCrash testComputer Science ApplicationsTheoretical Computer ScienceAccelerationAutoregressive modelArtificial IntelligenceControl and Systems EngineeringMoving averageCrashworthinessFeedforward neural networkVehicle accelerationSoftwareSimulationInformation Sciences
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Exponential synchronization of master-slave neural networks with time-delays

2009

This paper establishes an exponential H ∞ synchronization method for a class of master and slave neural networks (MSNNs) with mixed time-delays, where the delays comprise different neutral, discrete and distributed time-delays and the class covers the Lipschitz-type nonlinearity case. By introducing a novel discretized Lyapunov-Krasovskii functional in order to minimize the conservatism in the stability problem of the system and also using some free weighting matrices, new delay-dependent sufficient conditions are derived for designing a delayed state-feedback control as a synchronization law in terms of linear matrix inequalities (LMIs). The controller guarantees the exponential H ∞ synchr…

Nonlinear systemArtificial neural networkDiscretizationControl and Systems EngineeringControl theorySynchronization (computer science)Master/slaveMathematicsWeightingExponential function2009 European Control Conference (ECC)
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Convergence analysis of cubature Kalman filter

2014

This paper investigates the stability analysis of cubature Kalman filter (CKF) for nonlinear systems with linear measurement. The certain conditions to ensure that the estimation error of CKF remains bounded are proved. Then, the effect of process noise covariance is investigated and an adaptive process noise covariance is proposed to deal with large estimation error. Accordingly, a modified CKF (MCKF) is developed to enhance the stability and accuracy of state estimation. The performance of the MCKF is compared to the CKF by two case studies. Simulation results demonstrate that the large estimation error may lead to instability of CKF while the MCKF is successfully able to estimate the sta…

Nonlinear systemExtended Kalman filterControl and Systems EngineeringControl theoryBounded functionConvergence (routing)State (functional analysis)CovarianceStability (probability)Invariant extended Kalman filterMathematics2014 European Control Conference (ECC)
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Robust finite-time fuzzy H∞ control for uncertain time-delay systems with stochastic jumps

2014

Abstract This paper investigates the problem of robust finite-time H ∞ control for a class of uncertain discrete-time Markovian jump nonlinear systems with time-delays represented by Takagi–Sugeno (T–S) model. Initially, the concepts of stochastic finite-time boundedness and stochastic finite-time H ∞ stabilization are presented. Then, by using stochastic Lyapunov–Krasovskii functional approach, sufficient conditions are derived such that the resulting close-loop system is stochastically finite-time bounded and satisfies a prescribed H ∞ disturbance attenuation level in a given finite-time interval. Furthermore, sufficient criteria on stochastic finite-time H ∞ stabilization using a fuzzy s…

Nonlinear systemOptimization problemComputer Networks and CommunicationsControl and Systems EngineeringControl theoryApplied MathematicsBounded functionSignal ProcessingLinear matrix inequalityH controlInterval (mathematics)Fuzzy logicMathematicsJournal of the Franklin Institute
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A taxonomy for wavelet neural networks applied to nonlinear modelling

2008

This article presents a novel classification of wavelet neural networks based on the orthogonality/non-orthogonality of neurons and the type of nonlinearity employed. On the basis of this classification different network types are studied and their characteristics illustrated by means of simple one-dimensional nonlinear examples. For multidimensional problems, which are affected by the curse of dimensionality, the idea of spherical wavelet functions is considered. The behaviour of these networks is also studied for modelling of a low-dimension map.

Nonlinear systemWaveletOrthogonalityArtificial neural networkBasis (linear algebra)Control and Systems EngineeringTaxonomy (general)Nonlinear modellingAlgorithmComputer Science ApplicationsTheoretical Computer ScienceMathematicsCurse of dimensionalityInternational Journal of Systems Science
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A Comparison of Special Bonding Techniques for Transmission and Distribution Cables under Normal and Fault Conditions

2021

In this article, a review of the existing special bonding techniques for medium voltage and high-voltage cables is presented. Special bonding techniques have the purpose of reducing sheath currents, thereby limiting copper losses and the reduction of the ampacity of cables. The literature review shows various bonding techniques and how these have evolved over the years thanks to new technologies. Simulations of each technique are performed in MATLAB/Simulink, to compare their strengths and drawbacks both under normal conditions and in the presence of a single-line-to-ground fault.

Normal conditionsComputer science020209 energy020208 electrical & electronic engineeringMechanical engineering02 engineering and technologyspecial bonding techniquesFault (power engineering)Industrial and Manufacturing EngineeringCross bondingSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaTransmission (telecommunications)Control and Systems EngineeringElectromagnetic coilreactance bondingHardware_INTEGRATEDCIRCUITS0202 electrical engineering electronic engineering information engineeringsheath bonding transformersAmpacityElectrical and Electronic EngineeringReduction (mathematics)MATLABcomputerVoltagecomputer.programming_language
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Deployment of the ATLAS High-Level Trigger

2006

The ATLAS combined test beam in the second half of 2004 saw the first deployment of the ATLAS High-Level Trigger (HLT). The next steps are deployment on the pre-series farms in the experimental area during 2005, commissioning and cosmics tests with the full detector in 2006 and collisions in 2007. This paper reviews the experience gained in the test beam, describes the current status and discusses the further enhancements to be made. We address issues related to the dataflow, integration of selection algorithms, testing, software distribution, installation and improvements.

Nuclear and High Energy PhysicsDataflowCluster (spacecraft)01 natural sciencesAtlas (anatomy)testbeam0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]medicineElectrical and Electronic EngineeringSelection algorithmSimulationhigh-level triggersPhysicshigh-energy physics010308 nuclear & particles physicsbusiness.industryDetectorATLASSoftware distributionTriggertriggeringmedicine.anatomical_structureNuclear Energy and EngineeringClustersoftware integrationSoftware deploymentSystems engineeringSystem integrationLHCbusinessIEEE Transactions on Nuclear Science
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