Search results for "D optimal"

showing 4 items of 4 documents

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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The path of R&D efficiency over time

2015

Abstract In this paper we investigate the pattern of R&D efficiency in terms of the number of product innovations achieved by firms over time. Using a panel dataset of Spanish manufacturing firms for the period 1990–2006, we follow the innovative performance of R&D active firms and observe that innovation rates change over firms' R&D histories. To explain these facts we propose a model that explicitly acknowledges the twofold composition of firms' R&D expenditures, comprising spending on both physical capital for R&D projects and payments to researchers. We regard this latter component of R&D as a source for dynamic returns to firms' R&D investments. Consequently firms' innovation outcomes …

Economics and EconometricsPhysical capitalProduct innovationStrategy and ManagementIndustrial relationsEconomics Econometrics and Finance (miscellaneous)Path (graph theory)EconometricsEconomicsManufacturing firmsProduct (category theory)D optimalIndustrial organizationInternational Journal of Industrial Organization
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A multi-agent system reinforcement learning based optimal power flow for islanded microgrids

2016

In this paper, a distributed intelligence algorithm is used to manage the optimal power flow problem in islanded microgrids. The methodology provides a suboptimal solution although the error is limited to a few percent as compared to a centralized approach. The solution algorithm is multi-agent based. According to the method, couples of agents communicate with each other only if the buses where they are located are electrically connected. The overall prizing system required for learning uses a feedback from an approximated model of the network. Based on the latter, a distributed reiforcement learning algorithm is implemented to minimize the joule losses while meeting operational constraints…

Engineeringreinforcement learningMulti-Agent SystemComputational complexity theorybusiness.industry020209 energyMulti-agent systemDistributed computingControl engineering02 engineering and technologyDistributed intelligenceAC powerSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaPower flowmicrogridJoule (programming language)0202 electrical engineering electronic engineering information engineeringReinforcement learningbusinessDistrobuted Optimal Power Flowcomputercomputer.programming_language
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A polynomial algorithm solving a special class of hybrid optimal control problems

2006

Hybrid optimal control problems are, in general, difficult to solve. A current research goal is to isolate those problems that lead to tractable solutions [5]. In this paper, we identify a special class of hybrid optimal control problems which are easy to solve. We do this by using a paradigm borrowed from the Operations Research field. As main result, we present a solution algorithm that converges to the exact solution in polynomial time. Our approach consists in approximating the hybrid optimal control problem via an integer-linear programming reformulation. The integer-linear programming problem is a Set-covering one with a totally unimodular constraint matrix and therefore solving the S…

EngineeringMathematical optimizationForce densityComputational complexity theoryLinear programmingbusiness.industrySpecial classOptimal controlPolynomial algorithmControllabilityHybrid optimal controlAlgorithmsHybrid computersInteger programmingLinear control systemsUnimodular matrixControl theoryHuman machine interactionLocal search (optimization)Relaxation (approximation)Settore MAT/09 - Ricerca OperativabusinessInteger programmingTime complexityMathematics2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control
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