Search results for "OPTIMA"

showing 10 items of 735 documents

A combination of algebraic, geometric and numerical methods in the contrast problem by saturation in magnetic resonance imaging

2014

In this article, the contrast imaging problem by saturation in nuclear magnetic resonance is modeled as a Mayer problem in optimal control. The optimal solution can be found as an extremal solution of the Maximum Principle and analyzed with the recent advanced techniques of geometric optimal control. This leads to a numerical investigation based on shooting and continuation methods implemented in the HamPath software. The results are compared with a direct approach to the optimization problem and implemented within the Bocop toolbox. In complement lmi techniques are used to estimate a global optimum. It is completed with the analysis of the saturation problem of an ensemble of spin particle…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Moment optimization[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Direct methodContrast imaging in NMR[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Geometric optimal controlShooting and continuation techniques
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Geometric optimal control of elliptic Keplerian orbits

2005

This article deals with the transfer of a satellite between Keplerian orbits. We study the controllability properties of the system and make a preliminary analysis of the time optimal control using the maximum principle. Second order sufficient conditions are also given. Finally, the time optimal trajectory to transfer the system from an initial low orbit with large eccentricity to a terminal geostationary orbit is obtained numerically.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Physics0209 industrial biotechnologyApplied Mathematicsmedia_common.quotation_subject010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyOptimal control01 natural sciencesControllability020901 industrial engineering & automationMaximum principleOrbit (dynamics)Geostationary orbitDiscrete Mathematics and CombinatoricsSatellite[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Astrophysics::Earth and Planetary Astrophysics0101 mathematicsOrbital maneuverEccentricity (behavior)media_commonDiscrete & Continuous Dynamical Systems - B
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Minimum Time Control of the Restricted Three-Body Problem

2012

The minimum time control of the circular restricted three-body problem is considered. Controllability is proved on an adequate submanifold. Singularities of the extremal flow are studied by means of a stratification of the switching surface. Properties of homotopy maps in optimal control are framed in a simple case. The analysis is used to perform continuations on the two parameters of the problem: The ratio of the masses, and the magnitude of the control.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Surface (mathematics)0209 industrial biotechnologyControl and OptimizationApplied MathematicsHomotopy010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyThree-body problemOptimal controlSubmanifold01 natural sciencesControllability020901 industrial engineering & automationSimple (abstract algebra)Gravitational singularity[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsMathematicsSIAM Journal on Control and Optimization
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On some Riemannian aspects of two and three-body controlled problems

2009

The flow of the Kepler problem (motion of two mutually attracting bodies) is known to be geodesic after the work of Moser [20], extended by Belbruno and Osipov [2, 21]: Trajectories are reparameterizations of minimum length curves for some Riemannian metric. This is not true anymore in the case of the three-body problem, and there are topological obstructions as observed by McCord et al. [19]. The controlled formulations of these two problems are considered so as to model the motion of a spacecraft within the influence of one or two planets. The averaged flow of the (energy minimum) controlled Kepler problem with two controls is shown to remain geodesic. The same holds true in the case of o…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Work (thermodynamics)Geodesic010102 general mathematicsMathematical analysisMotion (geometry)[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimal control01 natural sciencesOptimal controlsymbols.namesakeFlow (mathematics)Kepler problemCut and conjugate loci0103 physical sciencesMetric (mathematics)symbolsGeodesic flowTwo and three-body problems49K15 53C20 70Q05Gravitational singularity[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematics010303 astronomy & astrophysicsMathematics
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Algebraic-geometric techniques for the feedback classification and robustness of the optimal control of a pair of Bloch equations with application to…

2017

The aim of this article is to classify the singular trajectories associated with the optimal control problems of a pair of controlled Bloch equations. The motivation is to analyze the robustness of the optimal solutions to the contrast and the time-minimal saturation problem, in magnetic resonance imaging, with respect to the parameters and B1-inhomogeneity. For this purpose, we use various computer algebra algorithms and methods to study solutions of polynomial systems of equations and inequalities which are used for classification issues: Gröbner basis, cylindrical algebraic decomposition of semi-algebraic sets, Thom's isotopy lemma.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]optimal controlMSC. 49K15 14Q20 81Q93[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]singular trajectories[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Bloch equationsMagnetic Resonance Imagingsymbolic computation
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Optimal control of spin-systems: Applications to Nuclear Magnetic Resonance and Quantum Information

2016

The goal of this thesis is to apply the optimal control theory to Nuclear Magnetic Resonance and Quantum Information. In a first step, we introduce the different topics and the dynamics of the analyzed systems. We give the necessary tools to use the Pontryagin Maximum Principle, and also an optimization algorithm, namely GRAPE. The first work is an application of the PMP to the control of a three-spin chain with unequal couplings. We continue with the study of a classical problem called "the tennis racket effect", which is a non-linear phenomenon occuring during the free rotation of a three-dimensional rigid body. We use the results in the following chapter to determine some control laws fo…

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]free rotation of a rigid bodyrésonance magnétique nucléairenuclear magnetic resonanceoptimal controlinformation quantiquecontrôle optimal[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]quantum informationcontrôle robustetoupie d’Eulercontrôle quantiquequantum control[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]GRAPErobust control
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Scheduling independent stochastic tasks under deadline and budget constraints

2018

This article discusses scheduling strategies for the problem of maximizing the expected number of tasks that can be executed on a cloud platform within a given budget and under a deadline constraint. The execution times of tasks follow independent and identically distributed probability laws. The main questions are how many processors to enroll and whether and when to interrupt tasks that have been executing for some time. We provide complexity results and an asymptotically optimal strategy for the problem instance with discrete probability distributions and without deadline. We extend the latter strategy for the general case with continuous distributions and a deadline and we design an ef…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Mathematical optimizationOperations researchComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Cloud computing[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyExpected valueTheoretical Computer ScienceScheduling (computing)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]deadline0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]schedulingComputer Science::Operating SystemsComputingMilieux_MISCELLANEOUSBudget constraint020203 distributed computingcloud platformindependent tasksbusiness.industry[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationstochastic costAsymptotically optimal algorithmContinuous distributions[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Hardware and ArchitectureProbability distribution[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]020201 artificial intelligence & image processingInterrupt[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessSoftwarebudget
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The Influence of the feedback control of the hexapod platform of the SAAM dynamic driving simulator on neuromuscular dynamics of the drivers

2012

Multi sensorial cues (visual, auditory, haptic, inertial, vestibular, neuromuscular) [Ang2] play important roles to represent a proper sensation (objectively) and so a perception (subjectively as cognition) in driving simulators. Driving simulator aims at giving the sensation of driving as in a real case. For a similar situation, the driver has to react in the same way as in reality in terms of ‘self motion’. To enable this behavior, the driving simulator must enhance the virtual immersion of the subject in the driving situation. The subject has to perceive the motion of his own body in the virtual scene of the virtual car as he will have in a real car. For that reason, restituting the iner…

[PHYS.MECA.VIBR] Physics [physics]/Mechanics [physics]/Vibrations [physics.class-ph]Base de données [Informatique]Motion cueingModélisation et simulation [Informatique]Mécanique: Vibrations [Sciences de l'ingénieur]optimal controlAutomatique [Informatique]Robotique [Informatique][INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]EMG analysisdynamic driving simulatorsLQR[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]open loop control[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimisation et contrôle [Mathématique]motion sicknessInterface homme-machine [Informatique][SPI.MECA.VIBR] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Vibrations [physics.class-ph]motion cue[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringMotion cueing motion sickness LQR optimal control EMG analysis dynamic driving simulatorsclosed loop control
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Optimal control and shortcuts to adiabaticity techniques in linear and non-linear systems : from ion cyclotron resonance to nuclear magnetic resonance

2021

The goal of our research is to develop efficient and robust control protocols for classical and quantum systems. To this end, we have applied optimal control theory (OCT) and shortcuts to adiabaticity (STA) with inverse engineering and motion planning approaches in three different examples, which are RC (Resistor Capacitor) circuits, Fourier Transform-Ion Cyclotron Resonance (FT-ICR), and Nuclear Magnetic Resonance (NMR). Some of our results are not limited to these systems but are rather general. We apply OCT and STA with an inverse engineering approach to control the time-evolution of the charge on a capacitor. We show that OCT is a member of the family of STA solutions. In order to contr…

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]Résonance magnétique nucléaireShortcuts to adiabaticitySystèmes linéairesContrôle optimalLinear systemsIon cyclotron resonanceRésonance cyclotronique ioniqueRobust pulsesImpulsions robustesOptimal controlNuclear magnetic resonanceRaccourcis à l'adiabaticité
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Sur le rôle des singularités hamiltoniennes dans les systèmes contrôlés : applications en mécanique quantique et en optique non-linéaire.

2012

This thesis has two goals: the first one is to improve the control techniques in quantum mechanics, and more specifically in NMR, by using the tools of geometric optimal control. The second one is the study of the influence of Hamiltonian singularities in controlled systems. The chapter about optimal control study three classical problems of NMR : the inversion problem, the influence of the radiation damping term, and the steady state technique. Then, we apply the geometric optimal control to the problem of the population transfert in a three levels quantum system to recover the STIRAP scheme.The two next chapters study Hamiltonian singularities. We show that they allow to control the polar…

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics][PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Nonlinear optics[ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]Polarization attractionContrôle optimal géométrique[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]Quantum control[ PHYS.COND.CM-GEN ] Physics [physics]/Condensed Matter [cond-mat]/Other [cond-mat.other]Geometric optimal controloptique non-linéaireHamiltonian singularities[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM]monodromie hamiltonienneattraction de polarisation[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]singularités hamiltoniennes[PHYS.COND.CM-GEN]Physics [physics]/Condensed Matter [cond-mat]/Other [cond-mat.other]contrôle quantique[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]Hamiltonian monodromy
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