Search results for "Turing"

showing 10 items of 2644 documents

Robust control of uncertain multi-inventory systems via linear matrix inequality

2008

We consider a continuous time linear multi inventory system with unknown demands bounded within ellipsoids and controls bounded within ellipsoids or polytopes. We address the problem of "-stabilizing the inventory since this implies some reduction of the inventory costs. The main results are certain conditions under which "-stabilizability is possible through a saturated linear state feedback control. All the results are based on a Linear Matrix Inequalities (LMIs) approach and on some recent techniques for the modeling and analysis of polytopic systems with saturations.

Mathematical optimizationLinear Matrix InequalitiesPolytopeDynamical Systems (math.DS)stock control93xxcontinuous systems linear matrix inequalities linear systems manufacturing systems robust control state feedback stock control uncertain systemsimpulse control inventory control hybrid systemsSettore ING-INF/04 - AutomaticaControl theoryFOS: Mathematicsmanufacturing systemsMathematics - Dynamical Systemslinear matrix inequalitiesstate feedbackTime complexityMathematics - Optimization and ControlInventory systemsMathematicsInventory controlLinear Matrix Inequalities; Inventory systemsLinear systemlinear systemsLinear matrix inequality93Cxx;93xxLinearity93Cxxhybrid systemsEllipsoidComputer Science Applicationsimpulse control; inventory control; hybrid systemsuncertain systemsControl and Systems EngineeringOptimization and Control (math.OC)Control systemBounded functioncontinuous systemsPerpetual inventorycontinuous systems; linear matrix inequalities; linear systems; manufacturing systems; robust control; state feedback; stock control; uncertain systemsinventory controlRobust controlSettore MAT/09 - Ricerca Operativarobust controlimpulse control
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Discrete-timeH −  ∕ H ∞ sensor fault detection observer design for nonlinear systems with parameter uncertainty

2013

SUMMARY This work concerns robust sensor fault detection observer (SFDO) design for uncertain and disturbed discrete-time Takagi–Sugeno (T–S) systems using H −  ∕ H ∞ criterion. The principle of the proposed approach is based on simultaneously minimizing the perturbation effect and maximizing the fault effect on the residual vector. Furthermore, by introducing slack decision matrices and taking advantage of the descriptor formulation, less conservative sufficient conditions are proposed leading to easier linear matrix inequalities (LMIs). Moreover, the proposed (SFDO) design conditions allow dealing with unmeasurable premise variables. Finally, a numerical example and a truck–trailer system…

Mathematical optimizationMechanical EngineeringGeneral Chemical EngineeringBiomedical EngineeringAerospace EngineeringPerturbation (astronomy)ResidualIndustrial and Manufacturing EngineeringFault detection observerSystem modelNonlinear systemDiscrete time and continuous timeControl and Systems EngineeringControl theoryDecision matrixElectrical and Electronic EngineeringDesign methodsMathematicsInternational Journal of Robust and Nonlinear Control
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Geometric constraint solving: The witness configuration method

2006

Geometric constraint solving is a key issue in CAD, CAM and PLM. The systems of geometric constraints are today studied and decomposed with graph-based methods, before their numerical resolution. However, graph-based methods can detect only the simplest (called structural) dependences between constraints; they cannot detect subtle dependences due to theorems. To overcome these limitations, this paper proposes a new method: the system is studied (with linear algebra tools) at a witness configuration, which is intuitively similar to the unknown one, and easy to compute.

Mathematical optimizationNumerical resolutionLinear algebraGraph (abstract data type)CADRigidity theoryComputer Graphics and Computer-Aided DesignAlgorithmWitnessIndustrial and Manufacturing EngineeringComputer Science ApplicationsMathematicsComputer-Aided Design
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Using a TSP heuristic for routing order pickers in warehouses

2010

In this paper, we deal with the sequencing and routing problem of order pickers in conventional multi-parallel-aisle warehouse systems. For this NP-hard Steiner travelling salesman problem (TSP), exact algorithms only exist for warehouses with at most three cross aisles, while for other warehouse types literature provides a selection of dedicated construction heuristics. We evaluate to what extent reformulating and solving the problem as a classical TSP leads to performance improvements compared to existing dedicated heuristics. We report average savings in route distance of up to 47% when using the LKH (Lin-Kernighan-Helsgaun) TSP heuristic. Additionally, we examine if combining problem-sp…

Mathematical optimizationOrder pickingInformation Systems and ManagementGeneral Computer ScienceEconomicsOrder pickingLogisticsManagement Science and Operations ResearchAisleSteiner tree problemTravelling salesman problemIndustrial and Manufacturing Engineeringsymbols.namesakeLocal search (optimization)WarehousingMathematicsRoutingComputer. AutomationHeuristicbusiness.industryModeling and SimulationsymbolsRouting (electronic design automation)HeuristicsbusinessMathematicsofComputing_DISCRETEMATHEMATICSorder picking routing warehousing logistics
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Optimal positioning of irregular shapes in stamping die strip

2010

The nesting of two-dimensional shapes is a common problem, where raw material has to be economically cut. As for the single-pass single-row strip layout, several algorithms, based on established methods, have been proposed. Moreover, it should be noticed that the optimum layout should also consider a few constraints, like grain orientation for subsequent forming operation, correct bridge width, and the commercial roll of metal width in order to make solutions applicable in real industrial environments. Most of the procedures until now shown in literature are quite complex and often ignore these real constraints. They usually make use of sliding techniques and are not able to effectively wor…

Mathematical optimizationOrientation (computer vision)HeuristicMechanical EngineeringComputationStampingIndustrial and Manufacturing EngineeringDie (integrated circuit)Computer Science ApplicationsSet (abstract data type)Control and Systems EngineeringNesting Single-pass single-row layout Stamping die strip Part layout NFPPath (graph theory)Nesting (computing)Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSoftwareMathematics
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The multiple vehicle pickup and delivery problem with LIFO constraints

2015

Abstract This paper approaches a pickup and delivery problem with multiple vehicles in which LIFO conditions are imposed when performing loading and unloading operations and the route durations cannot exceed a given limit. We propose two mixed integer formulations of this problem and a heuristic procedure that uses tabu search in a multi-start framework. The first formulation is a compact one, that is, the number of variables and constraints is polynomial in the number of requests, while the second one contains an exponential number of constraints and is used as the basis of a branch-and-cut algorithm. The performances of the proposed solution methods are evaluated through an extensive comp…

Mathematical optimizationPolynomialInformation Systems and ManagementGeneral Computer ScienceManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringTabu searchFIFO and LIFO accountingModeling and SimulationVehicle routing problemBenchmark (computing)Integer programmingAlgorithmBranch and cutInteger (computer science)MathematicsEuropean Journal of Operational Research
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Sufficient conditions for coincidence in ℓ1 multifacility location problems

1997

We consider the problem of finding the optimal way of locating a finite number of facilities in a finite dimensional space, in order to minimize a weighted sum of the distances between these and other pre-existent facilities which are already positioned. We study the specific case where distance is measured in the @?"1, giving a new sufficient condition for identifying groups of facilities whose position will coincide at optimality.

Mathematical optimizationPosition (vector)Applied MathematicsOrder (group theory)Finite dimensional spaceManagement Science and Operations ResearchFinite setIndustrial and Manufacturing EngineeringSoftwareCoincidenceMathematicsOperations Research Letters
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Smart load prediction analysis for distributed power network of Holiday Cabins in Norwegian rural area

2020

Abstract The Norwegian rural distributed power network is mainly designed for Holiday Cabins with limited electrical loading capacity. Load prediction analysis, within such type of network, is necessary for effective operation and to manage the increasing demand of new appliances (e. g. electric vehicles and heat pumps). In this paper, load prediction of a distributed power network (i.e. a typical Norwegian rural area power network of 125 cottages with 478 kW peak demand) is carried out using regression analysis techniques for establishing autocorrelations and correlations among weather parameters and occurrence time in the period of 2014–2018. In this study, the regression analysis for loa…

Mathematical optimizationRenewable Energy Sustainability and the EnvironmentComputer science020209 energyStrategy and Management05 social sciencesAutocorrelationDistributed powerRegression analysis02 engineering and technologyLoad profileIndustrial and Manufacturing EngineeringRandom forestAutoregressive modelPeak demand050501 criminology0202 electrical engineering electronic engineering information engineeringSymmetric mean absolute percentage error0505 lawGeneral Environmental ScienceJournal of Cleaner Production
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Fuzzy green vehicle routing problem for designing a three echelons supply chain

2020

Abstract In this study, a three-echelon fuzzy green vehicle routing problem (3E-FGVRP) is considered for designing a regional agri-food supply chain on a time horizon. To account for the variability associated with the quantities requested by customers, it is assumed that the demands are fuzzy numbers simulated by a time-dependent algorithm. Moreover, the vehicle fleet and distribution centres are considered with a defined capacity. The credibility theory of fuzzy sets is used to implement a multi-objective fuzzy chance-constrained programming model, where the total costs and carbon emissions are minimised. The resolution of the 3E-FGVRP is conducted by using a non-dominated sorting genetic…

Mathematical optimizationRenewable Energy Sustainability and the EnvironmentComputer science020209 energyStrategy and ManagementSupply chain05 social sciencesFuzzy setGVRP simulation Fuzzy demand Credibility theory Multi objectives optimization NSGA-IITime horizon02 engineering and technologyMulti-objective optimizationFuzzy logicIndustrial and Manufacturing EngineeringCredibility theorySettore ING-IND/17 - Impianti Industriali Meccanici050501 criminology0202 electrical engineering electronic engineering information engineeringFuzzy numberELECTRE0505 lawGeneral Environmental Science
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Scheduling Multimodal Transportation Systems

2004

Abstract In this paper a Lagrangian based heuristic procedure for scheduling transportation networks is presented. The solution procedure schedules a single line at a time, possibly correcting the previous decisions at each step.

Mathematical optimizationScheduleInformation Systems and ManagementGeneral Computer ScienceComputer scienceSchedulingTransportation systems; Multimodality; Scheduling; Transfer coordinationReal-time computingScheduling (production processes)Dynamic priority schedulingTransportation systemsManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringFair-share schedulingScheduling (computing)symbols.namesakeModeling and SimulationTwo-level schedulingsymbolsTransportation systemTransfer coordinationComputer Science::Operating SystemsLagrangianMultimodality
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