Search results for "Control and Optimization"

showing 10 items of 448 documents

Boolean-controlled systems via receding horizon and linear programing

2009

We consider dynamic systems controlled by boolean signals or decisions. We show that in a number of cases, the receding horizon formulation of the control problem can be solved via linear programing by relaxing the binary constraints on the control. The idea behind our approach is conceptually easy: a feasible control can be forced by imposing that the boolean signal is set to one at least one time over the horizon. We translate this idea into constraints on the controls and analyze the polyhedron of all feasible controls. We specialize the approach to the stabilizability of switched and impulsively controlled systems.

Inventory controlMathematical optimizationControl and OptimizationLinear programmingApplied MathematicsHorizonSIGNAL (programming language)Binary numberSet (abstract data type)PolyhedronControl and Systems EngineeringControl theoryHybrid systemSignal ProcessingImpulse control inventory control hybrid systemsMathematics
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An Economic Approach to Size of a Renewable Energy Mix in Small Islands

2022

The importance of renewable energy exploitation reduces the energy dependence on fossil fuels. Despite technological progress, in several remote areas and small islands the energy production is nowadays dominated by the utilization of fossil fuels. With new, increasingly stringent laws on polluting emissions and the need to lower production costs, it is necessary to exploit as many renewable sources as possible. In order to implement these considerations, it was decided to study renewable energy production. The study was carried out by estimating the energy production on a monthly and annual basis considering a mix of three plants, namely marine, solar, and wind. Simulations on wave product…

LCOE Optimal sizing Renewable energy Sea wave Small islandsControl and OptimizationSettore ING-IND/11 - Fisica Tecnica AmbientaleRenewable Energy Sustainability and the Environmentsmall islands; optimal sizing; sea wave; renewable energy; LCOEEnergy Engineering and Power TechnologyElectrical and Electronic EngineeringSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciEngineering (miscellaneous)Energy (miscellaneous)
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Thrust Vector Controller Comparison for a Finless Rocket

2023

The paper focuses on comparing applicability, tuning, and performance of different controllers implemented and tested on a finless rocket during its boost phase. The objective was to evaluate the advantages and disadvantages of each controller, such that the most appropriate one would then be developed and implemented in real-time in the finless rocket. The compared controllers were Linear Quadratic Regulator (LQR), Linear Quadratic Gaussian (LQG), and Proportional Integral Derivative (PID). To control the attitude of the rocket, emphasis is given to the Thrust Vector Control (TVC) component (sub-system) through the gimballing of the rocket engine. The launcher is commanded through the cont…

LQRControl and OptimizationMechanical EngineeringPIDLinear controlSettore ING-INF/01 - ElettronicaIndustrial and Manufacturing Engineeringlinear control; LQR; LQG; PID; rocket; TVCControl and Systems EngineeringComputer Science (miscellaneous)rocketElectrical and Electronic EngineeringTVCLQGMachines; Volume 11; Issue 3; Pages: 394
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Production technologies in stochastic continuous time models

2011

Abstract Properties of dynamic stochastic general equilibrium models can be revealed by either using numerical solutions or qualitative analysis. Very precise and intuition-building results are obtained by working with models which provide closed-form solutions. Closed-form solutions are known for a large class of models some of which, however, have some undesirable features such as potentially negative output. This paper offers closed-form solutions for models which are just as tractable but do not suffer from these shortcomings.

Large classEconomics and EconometricsControl and OptimizationQualitative analysisApplied MathematicsJump diffusionEconomicsDynamic stochastic general equilibriumProduction (economics)Applied mathematicsClosed-form expressionJournal of Economic Dynamics and Control
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An affine scaling method using a class of differential barrier functions: primal approach

2020

International audience; In this paper we propose a family of affine scaling interior point algorithms, called galpv4, using a primal approach, based on a large class of differential barrier functions. We show that these algorithms are in fact an extension and generalization of the classical affine scaling algorithm based on the well-known log barrier function. After carrying out a complete convergence analysis, we select some of these algorithms for comparison with the classical affine scaling algorithm, performed with the help of the familiar Netlib test set.

Large classconcave gaugeClass (set theory)Pure mathematics021103 operations researchControl and Optimizationinterior point methodsApplied Mathematicsdifferential barrier0211 other engineering and technologies02 engineering and technologyManagement Science and Operations Research01 natural sciencesprimal algorithm010101 applied mathematicsAffine scalinglinear programs[MATH]Mathematics [math]0101 mathematicsInterior point methodDifferential (mathematics)MathematicsOptimization
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Minimum Leading Edge Protection Application Length to Combat Rain-Induced Erosion of Wind Turbine Blades

2021

Leading edge erosion (LEE) repairs of wind turbine blades (WTBs) involve infield application of leading edge protection (LEP) solutions. The industry is currently aiming to use factory based LEP coatings that can applied to the WTBs before they are shipped out for installation. However, one of the main challenges related to these solutions is the choice of a minimum LEP application length to be applied in the spanwise direction of the WTBs. Generally, coating suppliers apply 10–20 m of LEP onto the blades starting from the tip of the blade using the “rule of thumb”, and no studies in the literature exist that stipulate how these LEP lengths can be calculated. In this study, we extend the sc…

Leading edgeControl and OptimizationTurbine blade020209 energyEnergy Engineering and Power Technology020101 civil engineeringcoatings02 engineering and technologylcsh:TechnologyTurbine0201 civil engineeringlaw.inventionWind turbine bladesCoatingslawleading edge erosionwind energy0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)Electrical and Electronic EngineeringWind energyEngineering (miscellaneous)Parametric statisticsWind powerlcsh:TRenewable Energy Sustainability and the Environmentbusiness.industrywind turbine blades; leading edge erosion; wind energy; repair; coatingswind turbine bladesRule of thumbPower (physics)VDP::Teknologi: 500repairEnvironmental sciencebusinessRepairLeading edge erosionEnergy (miscellaneous)Marine engineeringEnergies
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Sparse Dynamic Programming for Longest Common Subsequence from Fragments

2002

Sparse Dynamic Programming has emerged as an essential tool for the design of efficient algorithms for optimization problems coming from such diverse areas as computer science, computational biology, and speech recognition. We provide a new sparse dynamic programming technique that extends the Hunt?Szymanski paradigm for the computation of the longest common subsequence (LCS) and apply it to solve the LCS from Fragments problem: given a pair of strings X and Y (of length n and m, respectively) and a set M of matching substrings of X and Y, find the longest common subsequence based only on the symbol correspondences induced by the substrings. This problem arises in an application to analysis…

Longest common subsequence problemCombinatoricsDynamic programmingSet (abstract data type)Computational MathematicsControl and OptimizationOptimization problemComputational Theory and MathematicsMatching (graph theory)Symbol (programming)ComputationSubstringMathematicsJournal of Algorithms
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Observer-based adaptive stabilization of a class of uncertain nonlinear systems

2014

In this paper, an adaptive output feedback stabilization method for a class of uncertain nonlinear systems is presented. Since this approach does not require any information about the bound of uncertainties, this information is not needed a priori and a mechanism for its estimation is exploited. The adaptation law is obtained using the Lyapunov direct method. Since all the states are not measurable, an observer is designed to estimate unmeasurable states for stabilization. Therefore, in the design procedure, first an observer is designed and then the control signal is constructed based on the estimated states and adaptation law with the σ-modification algorithm. The uniformly ultimately bou…

Lyapunov functionMathematical optimizationControl and OptimizationAdaptive controlObserver (quantum physics)Chaoticsymbols.namesakeNonlinear systemArtificial IntelligenceControl and Systems EngineeringControl theorysymbolsA priori and a posterioriLyapunov redesignAdaptation (computer science)MathematicsSystems Science & Control Engineering
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The chaotic Dadras–Momeni system: control and hyperchaotification

2015

In this paper a novel three-dimensional autonomous chaotic system, the so called Dadras-Momeni system, is considered and two different control techniques are employed to realize chaos control and chaos synchronization. Firstly, the optimal control of the chaotic system is discussed and an open loop feedback controller is proposed to stabilize the system states to one of the system equilibria, minimizing the cost function by virtue of the Pontryagin’s minimum principle. Then, an adaptive control law and an update rule for uncertain parameters, based on Lyapunov stability theory, are designed both to drive the system trajectories to an equilibrium or to realize a complete synchronization of t…

Lyapunov stabilityControl and OptimizationAdaptive controlApplied MathematicsSynchronization of chaosChaoticOpen-loop controllerOptimal control01 natural sciences010305 fluids & plasmasNonlinear Sciences::Chaotic DynamicsControl and Systems EngineeringControl theoryoptimal control synchronization Lyaponuv function Pontryagin minimum principle multi-scroll chaotic attractor hyperchaotic system0103 physical sciencesAttractor010301 acousticsMathematicsIMA Journal of Mathematical Control and Information
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An integrated environmental indicator for urban transportation systems: description and application

2015

A simplified version of the ecological footprint method is proposed for assessing the environmental performances of urban transportation systems. The method, starting from the knowledge of the composition of the running vehicular fleet, is here applied to a southern Italian province. It represents a synthetic indicator of the environmental pressure exerted by the system also matching the pollutant emissions with the carrying capacity of the site. Particularly, the forested area needed to absorb the CO2 emissions of the system is compared with the total forested area of the province. The results of the case-study indicates the yearly maximum distance that each vehicle of the fleet can cover …

Matching (statistics)Control and OptimizationPollutant emissionsEnergy Engineering and Power Technologylcsh:TechnologyCarrying capacityElectrical and Electronic Engineeringenvironmental sustainabilityEngineering (miscellaneous)Ecological footprintSettore ING-IND/11 - Fisica Tecnica Ambientalelcsh:TRenewable Energy Sustainability and the Environmentbusiness.industryindicatorEnvironmental resource managementEnvironmental engineeringtransportation system; environmental sustainability; indicators; ecological footprintindicatorstransportation systemRankingecological footprintSustainabilityUrban transportationEnvironmental sciencebusinessEnergy (miscellaneous)Environmental indicator
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