Search results for "Control and Systems Engineering"

showing 10 items of 994 documents

Optimal Design of an X-Band, Fully-Coaxial, Easily-Tunable Broadband Power Equalizer for a Microwave Power Module

2020

A microwave power module (MPM), which is a hybrid combination of a solid-state power amplifier (SSPA) as a driver and a traveling-wave tube amplifier (TWT) as the final high power stage, is a high-power device largely used for radar applications. A gain equalizer is often required to flatten the TWT output power gain owing to its big gain fluctuations over the operating frequency range. In this paper, the design of an X-band, fully-coaxial, easily-tunable broadband power equalizer for an MPM is presented. The structure is composed of a coaxial waveguide as the main transmission line and a coaxial cavity loaded with absorbing material as a resonant unit. Sensitivity analyses of the attenuati…

Power gainMaterials scienceComputer Networks and CommunicationsAcousticsX bandlcsh:TK7800-836002 engineering and technologyGain equalizerTraveling-wave tube01 natural sciencesSettore ING-INF/01 - Elettronicalaw.inventionlawTransmission linetraveling wave tubeMicrowave Power Module0103 physical sciencesBroadband0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineering010302 applied physicsmicrowave power moduleAmplifierlcsh:Electronics020206 networking & telecommunicationsSettore ING-INF/02 - Campi ElettromagneticiSettore ING-IND/31 - ElettrotecnicaHardware and ArchitectureControl and Systems EngineeringSignal ProcessingtunablebroadbandCoaxialcoaxialradar
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Simple and Flexible Power Loss Minimizer With Low-Cost MCU Implementation for High-Efficiency Three-Phase Induction Motor Drives

2021

This paper presents a simple, practical and low-cost implementation of a power losses minimization algorithm for three-phase induction motors taking also into account both iron core losses and magnetic saturation. The algorithm evaluates, in real-time, the optimal direct axis magnetizing flux component for efficiency enhancement of the drive. A further advantage of the proposed technique is represented by a flexible and low-cost implementation by means of an ATMEL ATSAM3X8E microcontroller. The power loss minimization algorithm is tested preliminarily by means of several simulations, then, experimentally validated by applying the proposed control strategy on a 5.5 kW Field Oriented Control …

Power lossComputer science05 social sciences020207 software engineering02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciIndustrial and Manufacturing EngineeringPower (physics)Field Oriented Control induction motor Loss Model Control power losses minimizationSettore ING-IND/31 - ElettrotecnicaMicrocontrollerMagnetic coreControl and Systems EngineeringControl theorySimple (abstract algebra)Component (UML)0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesMinificationElectrical and Electronic Engineering050107 human factorsInduction motorIEEE Transactions on Industry Applications
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Frequency dynamics of power systems with temporally distributed disturbances

2021

Abstract The frequency dynamics and stability of power systems is essentially affected by nature and characteristics of the disturbances occurring in the system. Conventionally, frequency transients are examined assuming a single disturbance applied at a given time. However, actual incidents in the power systems can be generally composed of a temporal sequence of events, and thus characterized by multiple power imbalances of different magnitudes and time offsets. The consideration of the effects of the temporal distribution of power imbalances is important for two main reasons: the impact on the frequency dynamics of the system in terms of frequency metrics such as minimum instantaneous fre…

Primary frequency controlRenewable Energy Sustainability and the EnvironmentComputer scienceWork (physics)Energy Engineering and Power TechnologyDistributed powerStability (probability)Instantaneous phasePower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectric power systemControl and Systems EngineeringControl theorySystem splitTransient (oscillation)Electrical and Electronic EngineeringRepresentation (mathematics)Power imbalancePower system dynamicFrequency transientSustainable Energy, Grids and Networks
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Decentralization and heterogeneity in complex adaptative systems

2015

Purpose – Following a bacterial-based modeling approach, the authors want to model and analyze the impact of both decentralization and heterogeneity on group behavior and collective learning. The paper aims to discuss these issues. Design/methodology/approach – Inspired by bacterial conjugation, the authors have defined an artificial society in which agents’ strategies adapt to changes in resources location, allowing migration, and survival in a dynamic sugarscape-like scenario. To study the impact of these variables the authors have simulated a scenario in which resources are limited and localized. The authors also have defined three constraints in genetic information processing (inhibiti…

Process managementInformation theoryComputer scienceArtificial societyIntelligent agentsEmergenceInformation theorycomputer.software_genreSocial systemsTheoretical Computer ScienceIntelligent agentAutopoiesisComputer Science (miscellaneous)AdaptationComplex adaptive systemAdaptation (computer science)Engineering (miscellaneous)business.industryInformation processingCollaborative learningBiblioteconomía y DocumentaciónControl and Systems EngineeringMutation (genetic algorithm)Artificial intelligencebusinesscomputerSocial Sciences (miscellaneous)
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The linear saturated decentralized strategy for constrained flow control is asymptotically optimal

2013

We present an algorithm for constrained network flow control in the presence of an unknown demand. Our algorithm is decentralized in the sense that it is implemented by a team of agents, each controlling just the flow on a single arc of the network based only on the buffer levels at the nodes at the extremes of the arc, while ignoring the actions of other agents and the network topology. We prove that our algorithm is also stabilizing and steady-state optimal. Specifically, we show that it asymptotically produces the minimum-norm flow. We finally generalize our algorithm to networks with a linear dynamics and we prove that certain least-square optimality properties still hold.

Production-distribution systemsOptimizationMathematical optimizationRobust controlUncertain systemsMinimum normNetwork topologyMinimum norm flowControl theoryElectric network topologyConstrained flowUncertain systemsElectrical and Electronic EngineeringMathematicsFlow control (data)Network topologyAsymptotically optimalRobust control; OptimizationUncertain systemEthernet flow controlAsymptotically optimal Constrained flow Distributed flow control Minimum norm Network optimization Network topology Production-distribution systems Steady-state optimal; Algorithms Electric network topology Flow control Uncertain systems; OptimizationProduction-distribution systemFlow controlAsymptotically optimal algorithmControl and Systems EngineeringSteady-state optimalMinimum-cost flow problemDistributed flow controlRobust controlNetwork optimization; Distributed flow control; Production-distribution systems; Uncertain systems; Minimum norm flowNetwork optimizationAlgorithms
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Neural network approach to solving fuzzy nonlinear equations using Z-numbers

2020

In this article, the fuzzy property is described by means of the Z-number as the coefficients and variables of the fuzzy equations. This alteration for the fuzzy equation is appropriate for system modeling with Z-number parameters. In this article, the fuzzy equation with Z-number coefficients and variables is tended to be used as the models for the uncertain systems. The modeling issue related to the uncertain system is to obtain the Z-number coefficients and variables of the fuzzy equation. Nevertheless, it is extremely hard to get the Z-number coefficients of the fuzzy equations. In this article, in order to model the uncertain nonlinear systems, a novel structure of the multilayer neura…

Property (programming)Mathematics::General MathematicsReliability (computer networking)Structure (category theory)MathematicsofComputing_NUMERICALANALYSIS02 engineering and technologyfuzzy equationFuzzy logicArtificial IntelligenceComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION0202 electrical engineering electronic engineering information engineeringApplied mathematics/dk/atira/pure/subjectarea/asjc/1700MathematicsArtificial neural networkZ numberApplied MathematicsComputingSystems modelingNonlinear systemComputational Theory and MathematicsControl and Systems EngineeringUncertain nonlinear systemmultilayer neural network020201 artificial intelligence & image processingComputingMethodologies_GENERAL/dk/atira/pure/core/subjects/computingInterpolationComputer Science(all)
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Performance Analysis of Synchronous Duty-Cycled MAC Protocols

2015

In this letter, we propose an analytical model to evaluate the performance of the S-MAC protocol. The proposed model improves the accuracy of previous models in two aspects. First, it incorporates the dependence among the nodes within a cluster by defining a DTMC that models the number of active nodes, whereas the previous models considered that nodes were mutually independent. Second, it proposes new methods for calculating packet delay and energy consumption. The analytical model is validated through discrete-event based simulations. Numerical results demonstrate that the proposed analytical model and methods yield accurate results under realistic assumptions

Protocol (science)Markov modelingMarkov chainComputer scienceNetwork packetLoad modelingReal-time computingEnergy consumptionINGENIERIA TELEMATICAMarkov modelWSNsDelay and energy consumptionControl and Systems EngineeringPacket lossDuty-cycled MAC protocolsCluster (physics)Electrical and Electronic EngineeringAlgorithm
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Least gradient functions in metric random walk spaces

2019

In this paper we study least gradient functions in metric random walk spaces, which include as particular cases the least gradient functions on locally finite weighted connected graphs and nonlocal least gradient functions on $\mathbb{R}^N$. Assuming that a Poincar\'e inequality is satisfied, we study the Euler-Lagrange equation associated with the least gradient problem. We also prove the Poincar\'e inequality in a few settings.

Pure mathematicsControl and Optimization05C81 35R02 26A45 05C21 45C99010102 general mathematicsPoincaré inequalityRandom walk01 natural sciences010101 applied mathematicsComputational Mathematicssymbols.namesakeMathematics - Analysis of PDEsControl and Systems EngineeringMetric (mathematics)FOS: Mathematicssymbols0101 mathematicsAnalysis of PDEs (math.AP)MathematicsESAIM: Control, Optimisation and Calculus of Variations
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Some algebraic clues towards a syntactic view on the Principles of Non-Contradiction and Excluded-Middle.

2014

This short paper just considers the possibility of a new view for posing and proving the Aristotle’s Principles of Non-Contradiction and Excluded-Middle. It is done by means of their refutability, or deducibility, respectively, under Tarski’s Consequence Operators.

Pure mathematicsSettore INF/01 - InformaticaLaw of excluded middlemedia_common.quotation_subjectShort paperComputer Science ApplicationsTheoretical Computer ScienceControl and Systems EngineeringNon-Contradiction Excluded-Middle Consequences Refutations ConjecturesModeling and SimulationCalculusFalsifiabilityContradictionAlgebraic numberInformation SystemsMathematicsmedia_common
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Wind gust estimation for precise quasi-hovering control of quadrotor aircraft

2021

Abstract This paper focuses on the control of quadrotor vehicles without wind sensors that are required to accurately track low-speed trajectories in the presence of moderate yet unknown wind gusts. By modeling the wind disturbance as exogenous inputs, and assuming that compensation of its effects can be achieved through quasi-static vehicle motions, this paper proposes an innovative estimation and control scheme comprising a linear dynamic filter for the estimation of such unknown inputs and requiring only position and attitude information. The filter is built upon results from Unknown Input Observer theory and allows estimation of wind and vehicle state without measurement of the wind its…

QuadcopterUnknown Input-state observersOffset (computer science)Observer (quantum physics)Computer scienceRotor (electric)Applied MathematicsRobust controlRoboticsROS/GazeboComputer Science Applicationslaw.inventionCompensation (engineering)Tracking errorQuadrotorsControl and Systems EngineeringControl theoryPosition (vector)Filter (video)lawDisturbance observersElectrical and Electronic EngineeringDisturbance observers; Quadrotors; Robotics; Robust control; ROS/Gazebo; Unknown Input-state observers
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