Search results for "Mathematic"

showing 10 items of 24974 documents

Visual tracking with omnidirectional cameras: an efficient approach

2011

International audience; An effective technique for applying visual tracking algorithms to omni- directional image sequences is presented. The method is based on a spherical image representation which allows taking into account the distortions and nonlinear resolution of omnidirectional images. Experimental results show that both deterministic and probabilistic tracking methods can effectively be adapted in order to robustly track an object with an omnidirectional camera.

0209 industrial biotechnologyComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhysics::Optics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyTracking (particle physics)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Science::RoboticsNonlinear system020901 industrial engineering & automationOmnidirectional cameraComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringEye tracking020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringRepresentation (mathematics)Omnidirectional antennabusiness
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Static and Dynamic Objects Analysis as a 3D Vector Field

2017

International audience; In the context of scene modelling, understanding, and landmark-based robot navigation, the knowledge of static scene parts and moving objects with their motion behaviours plays a vital role. We present a complete framework to detect and extract the moving objects to reconstruct a high quality static map. For a moving 3D camera setup, we propose a novel 3D Flow Field Analysis approach which accurately detects the moving objects using only 3D point cloud information. Further, we introduce a Sparse Flow Clustering approach to effectively and robustly group the motion flow vectors. Experiments show that the proposed Flow Field Analysis algorithm and Sparse Flow Clusterin…

0209 industrial biotechnologyComputer sciencebusiness.industry[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPoint cloud[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Context (language use)Motion detection02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationFlow (mathematics)Motion estimation0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]020201 artificial intelligence & image processingSegmentationComputer visionArtificial intelligenceCluster analysisbusinessEuclidean vector2017 International Conference on 3D Vision (3DV)
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Homography based egomotion estimation with a common direction

2017

International audience; In this paper, we explore the different minimal solutions for egomotion estimation of a camera based on homography knowing the gravity vector between calibrated images. These solutions depend on the prior knowledge about the reference plane used by the homography. We then demonstrate that the number of matched points can vary from two to three and that a direct closed-form solution or a Gröbner basis based solution can be derived according to this plane. Many experimental results on synthetic and real sequences in indoor and outdoor environments show the efficiency and the robustness of our approach compared to standard methods.

0209 industrial biotechnologyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHomography02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]homography estimationGröbner basis020901 industrial engineering & automationArtificial IntelligenceRobustness (computer science)0202 electrical engineering electronic engineering information engineeringStructure from motion[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionComputingMilieux_MISCELLANEOUSstructure-from-motionMathematicsegomotion estimationPhotogrammetrie und Bildanalysebusiness.industryApplied Mathematics[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Standard methodsReference planeComputational Theory and Mathematics020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareIndex Terms—Computer vision
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Robust adaptive tracking control of uncertain systems with time-varying input delays

2017

ABSTRACTIn this paper, the problem of robust adaptive tracking control of uncertain systems with time-varying input delays is studied. Under some mild assumptions, a robust adaptive controller is designed by using adaptive backstepping technique such that the system is globally stable and the system output can track a given reference signal. At the same time, a root mean square type of bound is obtained for the tracking error as a function of design parameters and thus can be adjusted. Finally, one numerical example is given to show the effectiveness of the proposed scheme.

0209 industrial biotechnologyControl and OptimizationAdaptive controlComputer scienceControl (management)Uncertain systems02 engineering and technologyFunction (mathematics)SignalComputer Science ApplicationsTheoretical Computer ScienceHuman-Computer InteractionTracking errorRoot mean square020901 industrial engineering & automationControl and Systems EngineeringControl theoryBackstepping0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingElectrical and Electronic EngineeringAdaptive trackingRobust controlInternational Journal of Systems Science
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Adaptive Control of Soft Robots Based on an Enhanced 3D Augmented Rigid Robot Matching

2021

Despite having proven successful in generating precise motions under dynamic conditions in highly deformable soft-bodied robots, model based techniques are also prone to robustness issues connected to the intrinsic uncertain nature of the dynamics of these systems. This letter aims at tackling this challenge, by extending the augmented rigid robot formulation to a stable representation of three dimensional motions of soft robots, under Piecewise Constant Curvature hypothesis. In turn, the equivalence between soft-bodied and rigid robots permits to derive effective adaptive controllers for soft-bodied robots, achieving perfect posture regulation under considerable errors in the knowledge of …

0209 industrial biotechnologyControl and OptimizationAdaptive controlKinematicsComputer scienceSoft roboticsSoft roboticsKinematicsSolid modeling02 engineering and technologyComputer Science::Robotics03 medical and health sciences020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryRobustness (computer science)0202 electrical engineering electronic engineering information engineeringRepresentation (mathematics)030304 developmental biologyComputingMethodologies_COMPUTERGRAPHICSrobotics0303 health sciencesbusiness.industrysoft robotsAdaptation modelsAdaptive controlRoboticsmodelinguncertain systems.Constant curvatureuncertain systemsControl and Systems EngineeringSolid modelingPiecewiseRobotflexible structuresThree-dimensional displays020201 artificial intelligence & image processingArtificial intelligencebusinessRobotsIEEE Control Systems Letters
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Energy-based fluid–structure model of the vocal folds

2020

AbstractLumped elements models of vocal folds are relevant research tools that can enhance the understanding of the pathophysiology of many voice disorders. In this paper, we use the port-Hamiltonian framework to obtain an energy-based model for the fluid–structure interactions between the vocal folds and the airflow in the glottis. The vocal fold behavior is represented by a three-mass model and the airflow is described as a fluid with irrotational flow. The proposed approach allows to go beyond the usual quasi-steady one-dimensional flow assumption in lumped mass models. The simulation results show that the proposed energy-based model successfully reproduces the oscillations of the vocal …

0209 industrial biotechnologyControl and OptimizationGlottisComputer scienceApplied MathematicsAirflow02 engineering and technologyMechanicsFold (geology)ArticlesConservative vector field01 natural sciencesCompressible flowPhysics::Fluid Dynamics020901 industrial engineering & automationmedicine.anatomical_structureFlow (mathematics)Control and Systems EngineeringComputer Science::SoundVocal folds0103 physical sciencesmedicine010301 acousticsEnergy (signal processing)
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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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A Novel Solution for the Elimination of Mode Switching in Pump-Controlled Single-Rod Cylinders

2020

This paper concerns the stability issue of pump-controlled single-rod cylinders, known as mode switching. First, a review of the topic is provided. Thereafter, the most recently proposed solution for the elimination of mode switching is investigated and shown to result in unstable behavior under certain operating conditions. A theoretical analysis is provided demonstrating the underlying mechanisms of this behavior. Based on the analysis, a novel control strategy is proposed and investigated numerically. Proper operation and stability are demonstrated for a wide range of operating conditions, including situations under which the most recently proposed solution results in unstable behavior a…

0209 industrial biotechnologyControl and OptimizationMaterials science020209 energy02 engineering and technologyelectrohydraulic valvesStability (probability)020901 industrial engineering & automationlinear actuatorsControl theorylcsh:TK1001-18410202 electrical engineering electronic engineering information engineeringlcsh:TA401-492large inertia loadsLinear actuatorstabilitylcsh:Production of electric energy or power. Powerplants. Central stationsRange (mathematics)VDP::Teknologi: 500single-pump circuitsmode switching instabilityControl and Systems EngineeringoscillationsMode switchinglcsh:Materials of engineering and construction. Mechanics of materialsActuatorpump-controlled systemsActuators
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Density Flow in Dynamical Networks via Mean-Field Games

2016

Current distributed routing control algorithms for dynamic networks model networks using the time evolution of density at network edges, while the routing control algorithm ensures edge density to converge to a Wardrop equilibrium, which was characterized by an equal traffic density on all used paths. We rearrange the density model to recast the problem within the framework of mean-field games. In doing that, we illustrate an extended state-space solution approach and we study the stochastic case where the density evolution is driven by a Brownian motion. Further, we investigate the case where the density evolution is perturbed by a bounded adversarial disturbance. For both the stochastic a…

0209 industrial biotechnologyDensity flowMathematical optimizationMarkov process02 engineering and technology01 natural sciencessymbols.namesake020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaRobustness (computer science)Applied mathematics0101 mathematicsElectrical and Electronic EngineeringBrownian motionMathematics010102 general mathematicsControl engineering decentralized control intelligent transportation systems traffic controlTime evolutionComputer Science ApplicationsMean field theoryControl and Systems EngineeringBounded functionRepeated gamesymbolsSettore MAT/09 - Ricerca OperativaIEEE Transactions on Automatic Control
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Sliding solutions of second-order differential equations with discontinuous right-hand side

2017

We consider second-order ordinary differential equations with discontinuous right-hand side. We analyze the concept of solution of this kind of equations and determine analytical conditions that are satisfied by typical solutions. Moreover, the existence and uniqueness of solutions and sliding solutions are studied. Copyright © 2017 John Wiley & Sons, Ltd.

0209 industrial biotechnologyDifferential equationGeneral MathematicsGeneral Engineering02 engineering and technology01 natural sciences010305 fluids & plasmasSecond order differential equations020901 industrial engineering & automationLinear differential equationOrdinary differential equation0103 physical sciencesCalculusApplied mathematicsUniquenessMathematicsMathematical Methods in the Applied Sciences
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