Search results for "DYNAMICS"

showing 10 items of 9782 documents

TIME-MINIMAL CONTROL OF DISSIPATIVE TWO-LEVEL QUANTUM SYSTEMS: THE INTEGRABLE CASE

2009

The objective of this article is to apply recent developments in geometric optimal control to analyze the time minimum control problem of dissipative two-level quantum systems whose dynamics is governed by the Lindblad equation. We focus our analysis on the case where the extremal Hamiltonian is integrable.

0209 industrial biotechnologyControl and OptimizationIntegrable systemQuantum dynamics[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]FOS: Physical sciences02 engineering and technology01 natural sciences020901 industrial engineering & automation[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]0103 physical sciencesQuantum operation[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]010306 general physicsMathematical PhysicsMathematicsMathematical physicsLindblad equationApplied MathematicsMathematical analysis[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Mathematical Physics (math-ph)[PHYS.MPHY] Physics [physics]/Mathematical Physics [math-ph]16. Peace & justice49K15 70Q05Quantum processDissipative systemQuantum algorithm[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]Hamiltonian (control theory)
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Robust Composite Nonlinear Feedback Path-Following Control for Independently Actuated Autonomous Vehicles With Differential Steering

2016

This paper investigates utilizing the front-wheel differential drive-assisted steering (DDAS) to achieve the path-following control for independently actuated (IA) electric autonomous ground vehicles (AGVs), in the case of the complete failure of the active front-wheel steering system. DDAS, which is generated by the differential torque between the left and right wheels of IA electric vehicles, can be utilized to actuate the front wheels as the sole steering power when the regular steering system fails, and thus avoids dangerous consequences for AGVs. As an inherent emergency measure and an active safety control method for the steering system of electric vehicles, DDAS strategy is a valuabl…

0209 industrial biotechnologyEngineeringObserver (quantum physics)business.industryActive safetyEnergy Engineering and Power Technology020302 automobile design & engineeringTransportationControl engineering02 engineering and technologyActive steeringPower (physics)Vehicle dynamicsNonlinear system020901 industrial engineering & automation0203 mechanical engineeringControl theoryAutomotive EngineeringTorqueElectrical and Electronic EngineeringbusinessIEEE Transactions on Transportation Electrification
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Experimental framework of traveling trolley with swinging load for hybrid motion control

2018

A novel experimental framework of the traveling trolley with swinging load is proposed. The system is designed as a controlled moving cart with pendulum for investigation of the hybrid motion control methods, involving the discrete sensors and impulsive event-based state observations and control actions. A mechatronic approach of principal system design, modeling, and identification are provided together with a motion control of the cart and simple event-based control of a-priori unknown final position. The coupled motion dynamics is analyzed and evaluated by using the discrete sensors, along with the control results.

0209 industrial biotechnologyEvent (computing)Computer scienceElementary eventDynamics (mechanics)Pendulum02 engineering and technologyMechatronicsMotion control01 natural sciences020901 industrial engineering & automationPosition (vector)Control theory0103 physical sciencesSystems design010301 acoustics2018 IEEE 15th International Workshop on Advanced Motion Control (AMC)
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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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Preventing the oil film instability in rotor-dynamics

2016

Horizontal rotor systems on lubricated journal bearings may incur instability risks depending on the load and the angular speed. The instability is associated with the asymmetry of the stiffness matrix of the bearings around the equilibrium position, in like manner as the internal hysteretic instability somehow, where some beneficial effect is indeed obtainable by an anisotropic configuration of the support stiffness. Hence, the idea of the present analysis is to check if similar advantages are also obtainable towards the oil film instability. The instability thresholds are calculated by usual methods, such as the Routh criterion or the direct search for the system eigenvalues. The results …

0209 industrial biotechnologyHistoryEngineeringMechanical equilibriummedia_common.quotation_subjectAngular velocity02 engineering and technologyRotordynamicsInstabilityEducationlaw.inventionOil film instability rotordynamics020901 industrial engineering & automation0203 mechanical engineeringlawmedicineEccentricity (behavior)media_commonStiffness matrixbusiness.industryRotor (electric)StiffnessMechanicsComputer Science Applications020303 mechanical engineering & transportsClassical mechanicsmedicine.symptombusinessJournal of Physics: Conference Series
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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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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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