Search results for " and Control"

showing 10 items of 385 documents

Asymptotics of accessibility sets along an abnormal trajectory

2001

We describe precisely, under generic conditions, the contact of the accessibility set at time $T$ with an abnormal direction, first for a single-input affine control system with constraint on the control, and then as an application for a sub-Riemannian system of rank 2. As a consequence we obtain in sub-Riemannian geometry a new splitting-up of the sphere near an abnormal minimizer $\gamma$ into two sectors, bordered by the first Pontryagin's cone along $\gamma$, called the $\xLinfty$-sector and the $\xLtwo$-sector. Moreover we find again necessary and sufficient conditions of optimality of an abnormal trajectory for such systems, for any optimization problem.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationOptimization problemRank (linear algebra)02 engineering and technologycontrol-affine systems01 natural sciencesSet (abstract data type)020901 industrial engineering & automationFOS: Mathematicssingular trajectories0101 mathematicsMathematics - Optimization and ControlMathematics010102 general mathematicsMathematical analysisConstraint (information theory)Computational MathematicsCone (topology)Optimization and Control (math.OC)Control and Systems EngineeringControl systemTrajectoryAffine transformation[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
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Averaging and optimal control of elliptic Keplerian orbits with low propulsion

2006

This article deals with the optimal transfer of a satellite between Keplerian orbits using low propulsion. It is based on preliminary results of Geffroy [Generalisation des techniques de moyennation en controle optimal, application aux problemes de rendez-vous orbitaux a poussee faible, Ph.D. Thesis, Institut National Polytechnique de Toulouse, France, Octobre 1997] where the optimal trajectories are approximated using averaging techniques. The objective is to introduce the appropriate geometric framework and to complete the analysis of the averaged optimal trajectories for energy minimization, showing in particular the connection with Riemannian problems having integrable geodesics.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyElliptic orbitGeneral Computer ScienceGeodesicIntegrable systemGeometry02 engineering and technology01 natural sciencesoptimal control020901 industrial engineering & automationTransfer orbitApplied mathematics0101 mathematicsElectrical and Electronic EngineeringComputingMilieux_MISCELLANEOUSMathematicsaveragingOrbital transferMechanical Engineering010102 general mathematics[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimal controlConnection (mathematics)Control and Systems Engineering[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Orbital maneuverMinimum energy control
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Geodesic flow of the averaged controlled Kepler equation

2008

A normal form of the Riemannian metric arising when averaging the coplanar controlled Kepler equation is given. This metric is parameterized by two scalar invariants which encode its main properties. The restriction of the metric to $\SS^2$ is shown to be conformal to the flat metric on an oblate ellipsoid of revolution, and the associated conjugate locus is observed to be a deformation of the standard astroid. Though not complete because of a singularity in the space of ellipses, the metric has convexity properties that are expressed in terms of the aforementioned invariants, and related to surjectivity of the exponential mapping. Optimality properties of geodesics of the averaged controll…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyGeodesicGeneral MathematicsCut locusConformal map02 engineering and technologyKepler's equationFundamental theorem of Riemannian geometry01 natural sciencesConvexityIntrinsic metricsymbols.namesake020901 industrial engineering & automationSingularity0101 mathematicsorbit transferMathematicsApplied Mathematics010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]cut and conjugate lociRiemannian metrics49K15 70Q05symbols[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
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Riemannian metric of the averaged energy minimization problem in orbital transfer with low thrust

2007

Abstract This article deals with the optimal transfer of a satellite between Keplerian orbits using low propulsion and is based on preliminary results of Epenoy et al. (1997) where the optimal trajectories of the energy minimization problem are approximated using averaging techniques. The averaged Hamiltonian system is explicitly computed. It is related to a Riemannian problem whose distance is an approximation of the value function. The extremal curves are analyzed, proving that the system remains integrable in the coplanar case. It is also checked that the metric associated with coplanar transfers towards a circular orbit is flat. Smoothness of small Riemannian spheres ensures global opti…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyIntegrable system02 engineering and technologyEnergy minimization01 natural sciencesHamiltonian systemsymbols.namesake020901 industrial engineering & automationBellman equationCircular orbit0101 mathematicsMathematical PhysicsComputingMilieux_MISCELLANEOUSMathematicsApplied Mathematics010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]symbolsSPHERESAstrophysics::Earth and Planetary Astrophysics[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Orbital maneuverHamiltonian (quantum mechanics)Analysis
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Optimality results in orbit transfer

2007

Abstract The objective of this Note is to present optimality results in orbital transfer. Averaging of the energy minimization problem is considered, and properties of the associated Riemannian metric are discussed. To cite this article: B. Bonnard, J.-B. Caillau, C. R. Acad. Sci. Paris, Ser. I 345 (2007).

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyMathematical optimization010102 general mathematics[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyGeneral MedicineEnergy minimization01 natural sciencesD optimalityTransfer (group theory)020901 industrial engineering & automationMetric (mathematics)Applied mathematics[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsOrbital maneuverOrbit (control theory)ComputingMilieux_MISCELLANEOUSMathematicsComptes Rendus Mathematique
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Second order optimality conditions in the smooth case and applications in optimal control

2007

International audience; The aim of this article is to present algorithms to compute the first conjugate time along a smooth extremal curve, where the trajectory ceases to be optimal. It is based on recent theoretical developments of geometric optimal control, and the article contains a review of second order optimality conditions. The computations are related to a test of positivity of the intrinsic second order derivative or a test of singularity of the extremal flow. We derive an algorithm called COTCOT (Conditions of Order Two and COnjugate times), available on the web, and apply it to the minimal time problem of orbit transfer, and to the attitude control problem of a rigid spacecraft. …

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyMathematical optimizationControl and Optimization02 engineering and technology01 natural sciences020901 industrial engineering & automationJacobi fieldSingularity0101 mathematicsorbit transferMathematicsSecond derivativeJacobi fieldsecond-order intrinsic derivative010102 general mathematicsConjugate pointsattitude control49K15 49-04 70Q05[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimal controlComputational MathematicsFlow (mathematics)Control and Systems EngineeringTrajectoryconjugate pointLagrangian singularity[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Orbit (control theory)
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On local optima in minimum time control of the restricted three-body problem

2016

International audience; The structure of local minima for time minimization in the controlled three-body problem is studied. Several homotopies are systematically used to unfold the structure of these local minimizers, and the resulting singularity of the path associated with the value function is analyzed numerically.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyMathematical optimizationHomotopyCircular restricted three body problemShooting Homotopy02 engineering and technologyMSC : 70F07 (49K15 49N90 58K99)Optimal controlThree-body problem01 natural sciencesOptimal controlMaxima and minimaSwallowtail singularity020901 industrial engineering & automationSingularityLocal optimumBellman equation0103 physical sciencesPath (graph theory)Applied mathematics[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]010303 astronomy & astrophysicsMathematics
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Energy minimization of single input orbit transfer by averaging and continuation

2006

AbstractThis article deals with the transfer between Keplerian coplanar orbits using low propulsion. We focus on the energy minimization problem and compute the averaged system, proving integrability and relating the corresponding trajectories to a three-dimensional Riemannian problem that is analyzed in details. The geodesics provide approximations of the extremals of the energy minimization problem and can be used in order to evaluate the optimal trajectories of the time optimal and the minimization of the consumption problems with continuation methods. In particular, minimizing trajectories for transfer towards the geostationary orbit can be approximated in suitable coordinates by straig…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyMathematics(all)GeodesicGeneral MathematicsMoyennation02 engineering and technologyPropulsionEnergy minimization01 natural sciencesContinuationAveraging020901 industrial engineering & automation0101 mathematicsMinimisation de l'énergieComputingMilieux_MISCELLANEOUSMathematicsTransfert orbital à poussée faibleMéthodes de continuation010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Orbital transfer with low thrustEnergy minimizationContinuation methodsOrbit (dynamics)Geostationary orbit[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]MinificationFocus (optics)
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Conjugate times for smooth singular trajectories and bang-bang extremals

2003

Abstract In this paper we discuss the problem of estimating conjugate times along smooth singular or bang-bang extremals. For smooth extremals conjugate times can be defined in the generic case by using the intrinsic second order derivative or the exponential mapping. An algorithm is given which was implemented in the SR-case to compute the caustic [1] or in recent applied problems [5],[9]. We investigate briefly the problem of using this algorithm in the bang-bang case by smoothing the corners of extremals

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyPhysics::General Physics010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technology01 natural sciences020901 industrial engineering & automationExponential mappingCaustic (optics)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsBang bangBang–bang controlSmoothingMathematicsConjugateSecond derivative
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Non subanalyticity of sub-Riemannian Martinet spheres

2001

Abstract Consider the sub-Riemannian Martinet structure (M,Δ,g) where M= R 3 , Δ= Ker ( d z− y 2 2 d x) and g is the general gradated metric of order 0 : g=(1+αy) 2 d x 2 +(1+βx+γy) 2 d y 2 . We prove that if α≠0 then the sub-Riemannian spheres S(0,r) with small radii are not subanalytic.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyRiemann manifoldRiemann surface010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technologyGeneral Medicine01 natural sciencesCombinatoricssymbols.namesake020901 industrial engineering & automationsymbolsOrder (group theory)SPHERES[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsMathematics
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