Search results for " dynamic"

showing 10 items of 4727 documents

Frequency-domain experimental setup for mechatronic and suspension system components

2021

This paper presents a frequency-domain experimental setup for modal analysis of mechatronic and suspension system components. Design, instrumentation and dynamic behavior of the one degree-of-freedom (DOF) system, capable of providing both, periodic and application-specific, excitation forces is described. The excitation is realized by an electromagnetic modal shaker with additional assembly and interface components designed and instrumented for frequency -domain analysis of vertical dynamics. Frequency response functions (FRFs) of the implemented system are experimentally measured and the associated basic model parameters are calculated, correspondingly identified. Accurate fit between the…

0209 industrial biotechnologyFrequency responseComputer scienceModal analysisAcousticsAutomatic frequency control02 engineering and technologyVehicle dynamicsMechanical system020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringFrequency domainDomain analysisShaker
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Nonlinear network dynamics for interconnected micro-grids

2018

Abstract This paper deals with transient stability in interconnected micro-grids. The main challenge is to understand the impact of the connectivity of the graph and model nonlinearities on transient and steady-state behavior of the system as a whole. The contribution of this paper is three-fold. First, we provide a robust classification of transient dynamics for different intervals of the parameters for a single micro-grid. We prove that underdamped dynamics and oscillations arise when the damping coefficient is below a certain threshold which we calculate explicitly as function of the product between the inertia coefficient and the synchronization parameter. Second, for interconnected mic…

0209 industrial biotechnologyGeneral Computer ScienceComputer scienceMechanical Engineeringmedia_common.quotation_subject010102 general mathematics02 engineering and technologyInertiaNetwork dynamics01 natural sciencesConsensus dynamicsNonlinear system020901 industrial engineering & automationControl and Systems EngineeringHomogeneity (physics)Statistical physics0101 mathematicsElectrical and Electronic EngineeringAbsolute stabilitymedia_commonSystems & Control Letters
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A new approach to simulate coating thickness in cold spray

2020

Abstract In the process of cold spray on complex components, the coating thickness is an important indicator to monitor and control. Current methods such as destructive tests or direct mechanical measurements can only be performed after spraying. Besides, these methods lead to production shutdown and additional costs . This article presents a novel approach predicting coating thickness for components with complex curved surfaces, especially in the case of shadow effects. Firstly, a three-dimensional geometric model of the coating profile based on Gaussian distribution was developed. In addition, the relative deposition efficiency (RDE) resulting from the different robot kinematic parameters…

0209 industrial biotechnologyMaterials scienceGaussianGas dynamic cold sprayProcess (computing)Mechanical engineering02 engineering and technologySurfaces and InterfacesGeneral ChemistryKinematicsengineering.materialFeedback loop021001 nanoscience & nanotechnologyCondensed Matter PhysicsSurfaces Coatings and Films[SPI]Engineering Sciences [physics]symbols.namesake020901 industrial engineering & automationCoatingMaterials ChemistryengineeringsymbolsDeposition (phase transition)0210 nano-technologyGeometric modelingSurface and Coatings Technology
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Stable layer-building strategy to enhance cold-spray-based additive manufacturing

2020

Abstract Cold spray (CS) has recently become one of the popular additive manufacturing (AM) processes for its advantages: high-forming efficiency, low temperature, and no phase changing of materials. These advantages may make CS able to form large volume objects and possibly directly iterate with material-removing processes to become a hybrid AM process. Current research proposes using a bulk-based volume-forming strategy (e.g. a tessellation-based method) for volume building. Although it can form 3D volumes, the control of the process is difficult and it has limitations in forming complex 3D near-net-shapes with acceptable accuracy. This also conflicts with the basic principle of AM, where…

0209 industrial biotechnologyMaterials scienceTessellationbusiness.industryBiomedical EngineeringProcess (computing)Volume (computing)Gas dynamic cold spray02 engineering and technologyKinematicsBenchmarking021001 nanoscience & nanotechnologyIndustrial and Manufacturing Engineering[SPI]Engineering Sciences [physics]020901 industrial engineering & automationProcess controlGeneral Materials ScienceLayer (object-oriented design)0210 nano-technologyProcess engineeringbusinessEngineering (miscellaneous)
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The Effect of Baffles on Heat Transfer

2019

For a long time technicians and engineers have used geometric changes of objects for the purpose of enhancement of heat transfer. The discovery and use of nanofluids and their unique properties lead to a new revolution on the heat transfer. This paper presents the simulation of Ansis software applied to the flow tube with a constant flux, also studies the effect of baffles and the use of nano particles on heat transfer.

0209 industrial biotechnologyMaterials sciencebusiness.industry020208 electrical & electronic engineeringBaffle02 engineering and technologyMechanicsComputational fluid dynamics020901 industrial engineering & automationNanofluidFlow tubeHeat transfer0202 electrical engineering electronic engineering information engineeringbusinessProceedings of the 16th International Conference on Informatics in Control, Automation and Robotics
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Bio-inspired evolutionary dynamics on complex networks under uncertain cross-inhibitory signals

2019

Given a large population of agents, each agent has three possiblechoices between option 1 or 2 or no option. The two options are equally favorable and the population has to reach consensus on one of the two options quickly and in a distributed way. The more popular an option is, the more likely it is to be chosen by uncommitted agents. Agents committed to one option can be attracted by those committed to the other option through a cross-inhibitory signal. This model originates in the context of honeybee swarms, and we generalize it to duopolistic competition and opinion dynamics. The contributions of this work include (i) the formulation of a model to explain the behavioral traits of the ho…

0209 industrial biotechnologyMathematical optimizationCollective behaviorAsymptotic stabilityComputer sciencePopulationContext (language use)02 engineering and technologyMachine learningcomputer.software_genreNetwork topologyCompetition (economics)020901 industrial engineering & automationNonlinear systems0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringEvolutionary dynamicseducationAbsolute stabilityeducation.field_of_studybusiness.industry020208 electrical & electronic engineeringAgentsDeadlock (game theory)Complex networkNetwork topologiesControl and Systems EngineeringArtificial intelligencebusinessDecision makingcomputerAutomatica
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Opinion Dynamics and Stubbornness via Multi-Population Mean-Field Games

2016

This paper studies opinion dynamics for a set of heterogeneous populations of individuals pursuing two conflicting goals: to seek consensus and to be coherent with their initial opinions. The multi-population game under investigation is characterized by (i) rational agents who behave strategically, (ii) heterogeneous populations, and (iii) opinions evolving in response to local interactions. The main contribution of this paper is to encompass all of these aspects under the unified framework of mean-field game theory. We show that, assuming initial Gaussian density functions and affine control policies, the Fokker---Planck---Kolmogorov equation preserves Gaussianity over time. This fact is t…

0209 industrial biotechnologyMathematical optimizationConsensusControl and OptimizationHeterogeneous populationsPopulationOpinion dynamics Consensus Heterogeneous populations Stubbornness Mean-field games02 engineering and technologyMean-field gamesManagement Science and Operations Research01 natural sciences020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaStubbornness0101 mathematicseducationSet (psychology)Opinion dynamicsFinite setMathematicseducation.field_of_studyStochastic processApplied MathematicsOpinion dynamics Consensus Heterogeneous populations Stubbornness Mean-field gamesRational agentOptimal control010101 applied mathematicsTheory of computationSettore MAT/09 - Ricerca OperativaGame theory
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Darboux integrable system with a triple point and pseudo-abelian integrals

2016

We study pseudo-abelian integrals associated with polynomial perturbations of Dar-boux integrable system with a triple point. Under some assumptions we prove the local boundedness of the number of their zeros. Assuming that this is the only non-genericity, we prove that the number of zeros of the corresponding pseudo-abelian integrals is bounded uniformly for nearby Darboux integrable foliations.

0209 industrial biotechnologyPure mathematicsControl and OptimizationIntegrable systemTriple pointAbelian integrals[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]Darboux integrability[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Dynamical Systems (math.DS)02 engineering and technologyType (model theory)01 natural sciencesIntegrating factor020901 industrial engineering & automationFOS: MathematicsLimit Cycle0101 mathematicsAbelian groupMathematics - Dynamical Systems34C07 34C08MathematicsNumerical AnalysisAlgebra and Number Theory010102 general mathematicsMathematical analysisLimit cyclesMathematics Subject ClassificationControl and Systems EngineeringBounded functionFoliation (geology)
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Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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Networked Bio-Inspired Evolutionary Dynamics on a Multi-Population

2019

We consider a multi-population, represented by a network of groups of individuals. Every player of each group can choose between two options, and we study the problem of reaching consensus. The dynamics not only depend on the dynamics within the group, but they also depend on the topology of the network, so neighboring groups influence individuals as well. First, we develop a mathematical model of this networked bio-inspired evolutionary behavior and we study its steady-state. We look at the special case where the underlying network topology is a regular and unweighted graph and show that the steady-state is a consensus equilibrium. A sufficient condition for exponential stability is given.…

0209 industrial biotechnologyTheoretical computer scienceComputer scienceMulti-agent system020208 electrical & electronic engineering02 engineering and technologyNetwork topologyGroup decision-making020901 industrial engineering & automationExponential stability0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Special caseEvolutionary dynamicsTopology (chemistry)2019 18th European Control Conference (ECC)
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