Search results for "operation"

showing 10 items of 2969 documents

Théorie de système et séries temporelles

1994

The aim of this paper is to present a different representation of state space models, (innovation state space representation) which is relatively new and apparently unknown in the economics and econometrics literature and to describe some of its properties. state space representation is a very flexible form for time series and the approach taken in this paper therefore allows a broad class of models it does not impose a priori the decomposition of data series into trend and cycle

[ MATH ] Mathematics [math]mathématiques séries temporelles innovation espace état stabilité stochastiqueséries temporellesstability stochasticmathematicsstate space[MATH] Mathematics [math]innovationmathématiquesstabilité stochastiquestatisticsespace étattime serieoperations research
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Continuous optimal control sensitivity analysis with AD

2000

In order to apply a parametric method to a minimum time control problem in celestial mechanics, a sensitivity analysis is performed. The analysis is continuous in the sense that it is done in the infinite dimensional control setting. The resulting sufficient second order condition is evaluated by means of automatic differentiation, while the associated sensitivity derivative is computed by continuous reverse differentiation. The numerical results are given for several examples of orbit transfer, also illustrating the advantages of automatic differentiation over finite differences for the computation of gradients on the discretized problem.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnology021103 operations researchDiscretizationAutomatic differentiation0211 other engineering and technologiesFinite difference[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyOptimal control020901 industrial engineering & automationOrder conditionControl theoryRiccati equationSensitivity (control systems)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]ComputingMilieux_MISCELLANEOUSMathematicsParametric statistics
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Sensitivity analysis for time optimal orbit transfer

2001

The minimum time transfer of a satellite around the Earth is studied. In order to deal numerically with low thrusts, a new method is introduced: Based on a so-called noncontrollability function, the technique treats the ha1 time as a parameter. The properties of the method arc studied by means of an infinite dimensional sensitivity analysis. The numerical results obtained by this approach for very low thrusts are given

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationApplied Mathematics010102 general mathematicsMinimum timeMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyFunction (mathematics)Management Science and Operations ResearchTime optimal01 natural sciencesArc (geometry)020901 industrial engineering & automationControl theoryTransfer (computing)Physics::Space PhysicsOrbit (dynamics)SatelliteSensitivity (control systems)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsComputingMilieux_MISCELLANEOUSMathematics
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3D Geosynchronous Transfer of a Satellite: Continuation on the Thrust

2003

The minimum-time transfer of a satellite from a low and eccentric initial orbit toward a high geostationary orbit is considered. This study is preliminary to the analysis of similar transfer cases with more complicated performance indexes (maximization of payload, for instance). The orbital inclination of the spacecraft is taken into account (3D model), and the thrust available is assumed to be very small (e.g. 0.3 Newton for an initial mass of 1500 kg). For this reason, many revolutions are required to achieve the transfer and the problem becomes very oscillatory. In order to solve it numerically, an optimal control model is investigated and a homotopic procedure is introduced, namely cont…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationContinuous functionApplied MathematicsGeosynchronous orbit[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Thrust02 engineering and technologyManagement Science and Operations ResearchOptimal control01 natural sciencesOrbital inclination020901 industrial engineering & automationShooting methodControl theory0103 physical sciencesOrbit (dynamics)Geostationary orbit[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUSMathematics
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Convergence rate of a relaxed inertial proximal algorithm for convex minimization

2018

International audience; In a Hilbert space setting, the authors recently introduced a general class of relaxed inertial proximal algorithms that aim to solve monotone inclusions. In this paper, we specialize this study in the case of non-smooth convex minimization problems. We obtain convergence rates for values which have similarities with the results based on the Nesterov accelerated gradient method. The joint adjustment of inertia, relaxation and proximal terms plays a central role. In doing so, we highlight inertial proximal algorithms that converge for general monotone inclusions, and which, in the case of convex minimization, give fast convergence rates of values in the worst case.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Class (set theory)Control and OptimizationInertial frame of referenceLyapunov analysis0211 other engineering and technologies02 engineering and technologyManagement Science and Operations Research01 natural sciencessymbols.namesakenonsmooth convex minimizationrelaxationweak-convergence0101 mathematics[MATH]Mathematics [math]point algorithmMathematics021103 operations researchWeak convergence[QFIN]Quantitative Finance [q-fin]Applied MathematicsHilbert space[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]dynamicsmaximally monotone operatorsInertial proximal method010101 applied mathematicsMonotone polygonRate of convergenceConvex optimizationmaximal monotone-operatorssymbolsRelaxation (approximation)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]subdifferential of convex functionsAlgorithm
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Solving chance constrained optimal control problems in aerospace via Kernel Density Estimation

2017

International audience; The goal of this paper is to show how non-parametric statistics can be used to solve some chance constrained optimization and optimal control problems. We use the Kernel Density Estimation method to approximate the probability density function of a random variable with unknown distribution , from a relatively small sample. We then show how this technique can be applied and implemented for a class of problems including the God-dard problem and the trajectory optimization of an Ariane 5-like launcher.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Mathematical optimizationControl and Optimizationchance constrained optimizationKernel density estimation0211 other engineering and technologiesProbability density function02 engineering and technology01 natural sciencesKernel Density Estimation010104 statistics & probability0101 mathematicsMathematics021103 operations researchApplied MathematicsConstrained optimizationTrajectory optimizationstochastic optimizationOptimal controlOptimal controlDistribution (mathematics)Aerospace engineeringControl and Systems EngineeringStochastic optimization[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Random variableSoftware
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Characterization of the Clarke regularity of subanalytic sets

2017

International audience; In this note, we will show that for a closed subanalytic subset $A \subset \mathbb{R}^n$, the Clarke tangential regularity of $A$ at $x_0 \in A$ is equivalent to the coincidence of the Clarke's tangent cone to $A$ at $x_0$ with the set \\$$\mathcal{L}(A, x_0):= \bigg\{\dot{c}_+(0) \in \mathbb{R}^n: \, c:[0,1]\longrightarrow A\;\;\mbox{\it is Lipschitz}, \, c(0)=x_0\bigg\}.$$Where $\dot{c}_+(0)$ denotes the right-strict derivative of $c$ at $0$. The results obtained are used to show that the Clarke regularity of the epigraph of a function may be characterized by a new formula of the Clarke subdifferential of that function.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC][ MATH ] Mathematics [math]Computer Science::Computer Science and Game Theory021103 operations researchSubanalytic setTangent coneApplied MathematicsGeneral Mathematics010102 general mathematicsTangent coneMathematical analysis0211 other engineering and technologiesSubanalytic sets02 engineering and technologyCharacterization (mathematics)16. Peace & justice01 natural sciencesMSC: Primary 49J52 46N10 58C20; Secondary 34A60Clarke regularity[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematics[MATH]Mathematics [math]Mathematics
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Intern conflicts and a production function with combining sub-factors

1994

Considering sub-factors, like different categories of capital or different categories of work, a production function is proposed: each sub-factor of one factor may be combined with each sub-factor of the other factor. Different types of programs exists at different levels. The conditions to obtain identical solution for these programs are studied. Considering that there is one responsible manager by program, conflicts between managers of each program arepossible because these programs give non identical solutions in general. The important fact is that these intern conflicts appear naturally without extra economical considerations

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]statisticsautomatiqueconflictfirmoperational researchfactor of production[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]control theoryoperations researchrecherche opérationnelle
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Ultra-short pulse propagation in birefringent fibers-the projection operator method

2008

International audience; We examine the propagation of ultra-short optical light pulses in dispersion-managed birefringent fiber transmission systems, in which the pulse dynamics is governed by the coupled higher-order nonlinear Schrödinger equations with higher-order linear and nonlinear optical effects. We derive the equations of motion in terms of pulse parameters such as amplitude, temporal position, width, chirp, frequency and phase, using a projection operator method, and we obtain the spatial dynamical behavior of picosecond and femtosecond pulse parameters. From our detailed analysis, we show that the stimulated Raman scattering has a strong impact on the pulse dynamics.

[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistryRaman scattering[CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistrybirefringent fibersdispersion management fiber[ CHIM.THEO ] Chemical Sciences/Theoretical and/or physical chemistrynonlinear Schr¨odinger equationPhysics::Opticsprojection operation methodnonlinear fiber optics
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Uncertainty-reducing cooperation scripts in online learning environments

2004

Online learning courses can create new interaction situations for participants who have not previously worked with each other. Initially, there is some degree of uncertainty between participants in these interaction situations. According to the uncertainty reduction theory, low uncertainty increases theamount of discourse and decreases information seeking. Thus, uncertainty may influence online discourseand learning. However, the relation of uncertainty reduction to learning outcomes has not yet been investigated systematically. Cooperation scripts may reduce uncertainty, and therefore enhance learning.A cooperation script, which aims to reduce uncertainty at a cognitive level, was chosen f…

[INFO.EIAH] Computer Science [cs]/Technology for Human Learningonline learning environmentscooperation scriptsuncertainty reduction theoryinformation seekinglearning environmentsamount of discourse
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