Search results for "Application"

showing 10 items of 5559 documents

Discrete Learning Control with Application to Hydraulic Actuators

2015

In this paper the robustness of a class of learning control algorithms to state disturbances, output noise, and errors in initial conditions is studied. We present a simple learning algorithm and exhibit, via a concise proof, bounds on the asymptotic trajectory errors for the learned input and the corresponding state and output trajectories. Furthermore, these bounds are continuous functions of the bounds on the initial condition errors, state disturbance, and output noise, and the bounds are zero in the absence of these disturbances.

Control algorithmComputer scienceElectro-hydraulic actuatorlcsh:QA75.5-76.95Computer Science Applicationslaw.inventionControl and Systems EngineeringlawControl theoryRobustness (computer science)Modeling and SimulationInitial value problemDiscrete learning controllcsh:Electronic computers. Computer scienceActuatorSoftwareHydraulic actuatorsModeling, Identification and Control
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A Parametric Dirichlet Problem for Systems of Quasilinear Elliptic Equations With Gradient Dependence

2016

The aim of this article is to study the Dirichlet boundary value problem for systems of equations involving the (pi, qi) -Laplacian operators and parameters μi≥0 (i = 1,2) in the principal part. Another main point is that the nonlinearities in the reaction terms are allowed to depend on both the solution and its gradient. We prove results ensuring existence, uniqueness, and asymptotic behavior with respect to the parameters.

Control and Optimization01 natural sciencesElliptic boundary value problemsymbols.namesakeDirichlet eigenvalueSettore MAT/05 - Analisi MatematicaDirichlet's principleBoundary value problemparametric problem0101 mathematicssystem of elliptic equationsMathematicsDirichlet problemDirichlet problem010102 general mathematicsMathematical analysisDirichlet's energyMathematics::Spectral Theory(pq)-LaplacianComputer Science Applications010101 applied mathematicsGeneralized Dirichlet distributionDirichlet boundary conditionSignal ProcessingsymbolsAnalysis
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On the Extension of the DIRECT Algorithm to Multiple Objectives

2020

AbstractDeterministic global optimization algorithms like Piyavskii–Shubert, direct, ego and many more, have a recognized standing, for problems with many local optima. Although many single objective optimization algorithms have been extended to multiple objectives, completely deterministic algorithms for nonlinear problems with guarantees of convergence to global Pareto optimality are still missing. For instance, deterministic algorithms usually make use of some form of scalarization, which may lead to incomplete representations of the Pareto optimal set. Thus, all global Pareto optima may not be obtained, especially in nonconvex cases. On the other hand, algorithms attempting to produce r…

Control and Optimization0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchMulti-objective optimizationSet (abstract data type)Local optimumoptimointialgoritmitConvergence (routing)0202 electrical engineering electronic engineering information engineeringmultiobjective optimizationmultiple criteria optimizationMathematics021103 operations researchApplied MathematicsPareto principleDIRECT algorithmmonitavoiteoptimointiComputer Science Applicationsglobal convergenceNonlinear systemdeterminantitHausdorff distancemonimuuttujamenetelmät020201 artificial intelligence & image processingHeuristicsdeterministic optimization algorithmsAlgorithmJournal of Global Optimization
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LR-NIMBUS : an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions

2022

In this paper, we develop an interactive algorithm to support a decision maker to find a most preferred lightly robust efficient solution when solving uncertain multiobjective optimization problems. It extends the interactive NIMBUS method. The main idea underlying the designed algorithm, called LR-NIMBUS, is to ask the decision maker for a most acceptable (typical) scenario, find an efficient solution for this scenario satisfying the decision maker, and then apply the derived efficient solution to generate a lightly robust efficient solution. The preferences of the decision maker are incorporated through classifying the objective functions. A lightly robust efficient solution is generated …

Control and OptimizationApplied Mathematicspäätöksentekolight robust efficiencyrobust optimizationmatemaattiset menetelmätportfoliotManagement Science and Operations Researchinteractive methodsarvopaperisalkutskenaariotepävarmuusmonitavoiteoptimointiComputer Science Applicationsuncertain multiple criteria optimizationmenetelmätoptimointialgoritmitinteraktiivisuusBusiness Management and Accounting (miscellaneous)portfolio selection
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Heuristic algorithms for a storage location assignment problem in a chaotic warehouse

2014

The extensive application of emerging technologies is revolutionizing warehouse management. These technologies facilitate working with complex and powerful warehouse management models in which products do not have assigned fixed locations (random storage). Random storage allows the utilization of the available space to be optimized. In this context, and motivated by a real problem, this article presents a model that looks for the optimal allocation of goods in order to maximize the storage space availability within the restrictions of the warehouse. For the proposed model a construction method, a local search algorithm and different metaheuristics have been developed. The introduced algorit…

Control and OptimizationComputer scienceHeuristic (computer science)Applied MathematicsChaoticContext (language use)Management Science and Operations ResearchSpace (commercial competition)computer.software_genreIndustrial and Manufacturing EngineeringComputer Science ApplicationsWarehouseSet (abstract data type)Data miningAssignment problemcomputerAlgorithmMetaheuristicComputer Science::DatabasesEngineering Optimization
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Reliable Planar Object Pose Estimation in Light Fields From Best Subaperture Camera Pairs

2018

International audience; A light-field camera can obtain richer information about a scene than a usual camera. This property offers a lot of potential for robot vision. In this paper, we present a method for pose estimation of a planar object with a light-field camera. The light-field camera can be regarded as a set of sub-aperture cameras. Although any combination of them can theoretically be used for the pose estimation, the accuracy depends on the combination. We show that the estimated pose error can be reduced by selecting the best pair of sub-aperture cameras. We have evaluated the accuracy of our approach with real experiments using a light-field camera in front of planar targets held…

Control and OptimizationComputer scienceProperty (programming)Biomedical EngineeringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSet (abstract data type)PlanarArtificial Intelligence[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionPoseComputer Science::DatabasesGround truthbusiness.industryMechanical EngineeringAstrophysics::Instrumentation and Methods for Astrophysics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]16. Peace & justiceObject (computer science)Computer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringComputer Science::Computer Vision and Pattern RecognitionComputer Vision and Pattern RecognitionArtificial intelligencebusiness
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Approximations of Parabolic Equations at the Vicinity of Hyperbolic Equilibrium Point

2014

This article is devoted to the numerical analysis of the abstract semilinear parabolic problem u′(t) = Au(t) + f(u(t)), u(0) = u 0, in a Banach space E. We are developing a general approach to establish a discrete dichotomy in a very general setting and prove shadowing theorems that compare solutions of the continuous problem with those of discrete approximations in space and time. In [3] the discretization in space was constructed under the assumption of compactness of the resolvent. It is a well-known fact (see [10, 11]) that the phase space in the neighborhood of the hyperbolic equilibrium can be split in a such way that the original initial value problem is reduced to initial value prob…

Control and OptimizationDiscretizationMathematical analysisBanach spaceSpace (mathematics)Linear subspaceComputer Science ApplicationsCompact spaceBounded functionSignal ProcessingInitial value problemAnalysisMathematicsHyperbolic equilibrium pointNumerical Functional Analysis and Optimization
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On the numerical solution of some finite-dimensional bifurcation problems

1981

We consider numerical methods for solving finite-dimensional bifurcation problems. This paper includes the case of branching from the trivial solution at simple and multiple eigenvalues and perturbed bifurcation at simple eigenvalues. As a numerical example we treat a special rod buckling problem, where the boundary value problem is discretized by the shooting method.

Control and OptimizationDiscretizationNumerical analysisMathematical analysisComputer Science ApplicationsShooting methodBucklingSimple (abstract algebra)Signal ProcessingBoundary value problemAnalysisEigenvalues and eigenvectorsBifurcationMathematicsNumerical Functional Analysis and Optimization
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Optimal damping coefficient for a class of continuous contact models

2020

AbstractIn this study, we develop an analytical formula to approximate the damping coefficient as a function of the coefficient of restitution for a class of continuous contact models. The contact force is generated by a logical point-to-point force element consisting of a linear damper connected in parallel to a spring with Hertz force–penetration characteristic, while the exponent of deformation of the Hertz spring can vary between one and two. In this nonlinear model, it is assumed that the bodies start to separate when the contact force becomes zero. After separation, either the restitution continues or a permanent penetration is achieved. Therefore, this model is capable of addressing …

Control and OptimizationMaskinteknikk0211 other engineering and technologiesAerospace Engineering02 engineering and technology01 natural sciencesDamperContact forceMultibody DynamicsHertz0103 physical sciences010301 acoustics021106 design practice & managementMathematicsMechanical EngineeringMechanicsFunction (mathematics)Multibody systemComputer Science ApplicationsEffective mass (spring–mass system)VDP::Teknologi: 500ImpactSpring (device)Modeling and SimulationCoefficient of restitutionInnvirkningMultibody System Dynamics
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Fixed Point Theorems in Partially Ordered Metric Spaces and Existence Results for Integral Equations

2012

We derive some new coincidence and common fixed point theorems for self-mappings satisfying a generalized contractive condition in partially ordered metric spaces. As applications of the presented theorems, we obtain fixed point results for generalized contraction of integral type and we prove an existence theorem for solutions of a system of integral equations.

Control and OptimizationMathematical analysisFixed-point theoremExistence theoremFixed pointType (model theory)Fixed-point propertyIntegral equationComputer Science ApplicationsMetric spaceSettore MAT/05 - Analisi MatematicaSignal ProcessingFixed point integral equations ordered metric spaceCoincidence pointAnalysisMathematicsNumerical Functional Analysis and Optimization
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