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Wyszukujesz frazę "constrained optimization" wg kryterium: Temat

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    Wyświetlanie 1-10 z 10
    Tytuł:
    Unilateral Contact Applications Using Fem Software
    Autorzy:
    Stavroulaki, M. E.
    Stavroulakis, G. E.
    Powiązania:
    https://bibliotekanauki.pl/articles/907898.pdf
    Data publikacji:
    2002
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    matematyka
    nonsmooth analysis
    constrained optimization
    contact problem
    Opis:
    Nonsmooth analysis, inequality constrained optimization and variational inequalities are involved in the modelling of unilateral contact problems. The corresponding theoretical and algorithmic tools, which are part of the area known as nonsmooth mechanics, are by no means classical. In general purpose software some of these tools (perhaps in a simplified way) are currently available. Two engineering applications, a rubber-coated roller contact problem and a masonry wall, solved with MARC, are briefly presented, together with elements of the underlying theory.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2002, 12, 1; 115-125
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    New optimization based method for estimating priority weights
    Autorzy:
    Grzybowski, A. Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/122397.pdf
    Data publikacji:
    2013
    Wydawca:
    Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
    Tematy:
    AHP
    eigenvalue method
    priority vector
    constrained optimization
    Opis:
    The estimation of priority vectors from pairwise comparison matrices is a core of the Analytic Hierarchy Process. Perhaps the most popular approach for deriving the priority weights is the right eigenvalue method (EM). Despite its popularity, various shortcomings of the EM have been described in literature. In this paper a new method for deriving priority vectors is proposed. This method makes use of the idea underlying the EM but in difference to the latter, the new one is optimization based. Important features of this new technique are studied via computer simulations and illustrated by some numerical examples.
    Źródło:
    Journal of Applied Mathematics and Computational Mechanics; 2013, 12, 1; 33-44
    2299-9965
    Pojawia się w:
    Journal of Applied Mathematics and Computational Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Constraints in allocation of thrusters in a DP simulator
    Autorzy:
    Zalewski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/135012.pdf
    Data publikacji:
    2017
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    dynamic positioning
    thrust allocation
    convex optimization
    constrained optimization
    DP simulator
    thrusters
    Opis:
    Vessels conducting dynamic positioning (DP) operations are usually equipped with thruster configurations that enable the generation of force and torque. Some thrusters in these configurations are deliberately redundant to minimize consequences of thruster failures, enable overactuated control and increase the safety in operation. On such vessels, a thrust allocation system must be used to distribute the control actions determined by the DP controller among the thrusters. The optimal allocation of the thrusters’ settings in DP systems is a problem that can be solved by convex optimization methods depending on the criteria and constraints used. This paper presents a quadratic programming (QP) method, adopted in a DP control model, which is being developed in Maritime University of Szczecin for ship simulation purposes.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2017, 52 (124); 45-50
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of adaptive multivariable Generalized Predictive Control to a HVAC system in real time
    Autorzy:
    Gulan, M.
    Salaj, M.
    Rohal’-Ilkiv, B
    Powiązania:
    https://bibliotekanauki.pl/articles/229355.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    predictive control
    multivariable systems
    constrained optimization
    HVAC system
    cascade control
    Opis:
    This paper presents the application of a Multivariable Generalized Predictive Controller (MGPC) for simultaneous temperature and humidity control in a Heating, Ventilating and Air- Conditioning (HVAC) system. The multivariable controlled process dynamics is modeled using a set of MISO models on-line identified from measured input-output process data. The controller synthesis is based on direct optimization of selected quadratic cost function with respect to amplitude and rate input constraints. Efficacy of the proposed adaptive MGPC algorithm is experimentally demonstrated on a laboratory-scale model of HVAC system. To control the airconditioning part of system the designed multivariable predictive controller is considered in a cascade dual-rate control scheme with PID auxiliary controllers.
    Źródło:
    Archives of Control Sciences; 2014, 24, 1; 67-84
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Constrained optimization of the brushless DC motor using the salp swarm algorithm
    Autorzy:
    Knypiński, Łukasz
    Devarepalli, Ramesh
    Le Menach, Yvonnick
    Powiązania:
    https://bibliotekanauki.pl/articles/2135734.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    brushless DC motor
    constrained optimization
    finite element analysis
    salp swarm algorithm
    Opis:
    This paper presents an algorithm and optimization procedure for the optimization of the outer rotor structure of the brushless DC (BLDC) motor. The optimization software was developed in the Delphi Tiburón development environment. The optimization procedure is based on the salp swarm algorithm. The effectiveness of the developed optimization procedurewas compared with genetic algorithm and particle swarmoptimization algorithm. The mathematical model of the device includes the electromagnetic field equations taking into account the non-linearity of the ferromagnetic material, equations of external supply circuits and equations of mechanical motion. The external penalty function was introduced into the optimization algorithm to take into account the non-linear constraint function.
    Źródło:
    Archives of Electrical Engineering; 2022, 71, 3; 775--787
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Maximizing performance of linear model predictive control of glycemia for T1DM subjects
    Autorzy:
    Dodek, Martin
    Miklovicová, Eva
    Powiązania:
    https://bibliotekanauki.pl/articles/2134885.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    diabetes mellitus
    artificial pancreas
    glycemia control
    predictive control
    constrained optimization
    control feasibility
    Opis:
    The primary objective of this paper is the custom design of an effective, yet relatively easy-to-implement, predictive control algorithm to maintain normoglycemia in patients with type 1 diabetes. The proposed patient-tailorable empirical model featuring the separated feedback dynamics to model the effect of insulin administration and carbohydrate intake was proven to be suitable for the synthesis of a high-performance predictive control algorithm for artificial pancreas. Within the introduced linear model predictive control law, the constraints were applied to the manipulated variable in order to reflect the technical limitations of insulin pumps and the typical nonnegative nature of the insulin administration. Similarly, inequalities constraints for the controlled variable were also assumed while anticipating suppression of hypoglycemia states during the automated insulin treatment. However, the problem of control infeasibility has emerged, especially if one uses too tight constraints of the manipulated and the controlled variable concurrently. To this end, exploiting the Farkas lemma, it was possible to formulate the helper linear programming problem based on the solution of which this infeasibility could be identified and the optimality of the control could be restored by adapting the constraints. This adaptation of constraints is asymmetrical, thus one can force to fully avoid hypoglycemia at the expense of mild hyperglycemia. Finally, a series of comprehensive in-silico experiments were carried out to validate the presented control algorithm and the proposed improvements. These simulations also addressed the control robustness in terms of the intersubject variability and the meal announcements uncertainty.
    Źródło:
    Archives of Control Sciences; 2022, 32, 2; 305--333
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A design framework for rigorous constrained EM-driven optimization of miniaturized antennas with circular polarization
    Autorzy:
    Bekasiewicz, Adrian
    Koziel, Slawomir
    Powiązania:
    https://bibliotekanauki.pl/articles/220503.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    axial ratio
    antenna miniaturization
    circular polarization antenna
    constrained optimization
    EM-driven design
    Opis:
    Compact radiators with circular polarization are important components of modern mobile communication systems. Their design is a challenging process which requires maintaining simultaneous control over several performance figures but also the structure size. In this work, a novel design framework for multi-stage constrained miniaturization of antennas with circular polarization is presented. The method involves sequential optimization of the radiator in respect of selected performance figures and, eventually, the size. Optimizations are performed with iteratively increased number of design constraints. Numerical efficiency of the method is ensured using a fast local-search algorithm embedded in a trust-region framework. The proposed design framework is demonstrated using a compact planar radiator with circular polarization. The optimized antenna is characterized by a small size of 271 mm2 with 37% and 47% bandwidths in respect of 10 dB return loss and 3 dB axial ratio, respectively. The structure is benchmarked against the state-of-the-art circular polarization antennas. Numerical results are confirmed by measurements of the fabricated antenna prototype.
    Źródło:
    Metrology and Measurement Systems; 2019, 26, 1; 41-52
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Constrained optimization of line-start PM motor based on the gray wolf optimizer
    Autorzy:
    Knypińskia, Łukasz
    Powiązania:
    https://bibliotekanauki.pl/articles/1841785.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    heuristic algorithms
    gray wolf algorithm
    constrained optimization
    external penalty function
    line-start PM synchronous motor
    Opis:
    This paper presents the algorithm and computer software for constrained optimization based on the gray wolf algorithm. The gray wolf algorithm was combined with the external penalty function approach. The optimization procedure was developed using Borland Delphi 7.0. The developed procedure was then applied to design of a line-start PM synchronous motor. The motor was described by three design variables which determine the rotor structure. The multiplicative compromise function consisted of three maintenance parameters of designed motor and one non-linear constraint function was proposed. Next, the result obtained for the developed procedure (together with the gray wolf algorithm) was compared with results obtained using: (a) the particle swarm optimization algorithm, (b) the bat algorithm and (c) the genetic algorithm. The developed optimization algorithm is characterized by good convergence, robustness and reliability. Selected results of the computer simulation are presented and discussed.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 1; 1-10
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Local stability conditions for discrete-time cascade locally recurrent neural networks
    Autorzy:
    Patan, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/907772.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sieć lokalnie rekurencyjna
    stabilność
    stabilizacja
    uczenie się
    optymalizacja ograniczona
    locally recurrent neural network
    stability
    stabilization
    learning
    constrained optimization
    Opis:
    The paper deals with a specific kind of discrete-time recurrent neural network designed with dynamic neuron models. Dynamics are reproduced within each single neuron, hence the network considered is a locally recurrent globally feedforward. A crucial problem with neural networks of the dynamic type is stability as well as stabilization in learning problems. The paper formulates local stability conditions for the analysed class of neural networks using Lyapunov's first method. Moreover, a stabilization problem is defined and solved as a constrained optimization task. In order to tackle this problem, a gradient projection method is adopted. The efficiency and usefulness of the proposed approach are justified by using a number of experiments.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2010, 20, 1; 23-34
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optymalizacja transformacji wyników pomiarów bloków kadłuba statku z uwzględnieniem ograniczeń
    Constrained optimisation of transformation of ship block measurements
    Autorzy:
    Kniat, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/155129.pdf
    Data publikacji:
    2010
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    optymalizacja
    transformacja układu współrzędnych
    pomiary kadłuba statku
    montaż kadłuba statku
    komputerowe wspomaganie projektowania (CAD)
    constrained optimization
    coordinate system transformation
    ship hull measurements
    ship hull assembly
    computer-aided design (CAD)
    Opis:
    Artykuł przedstawia algorytm optymalizujący transformację wyników pomiarów bloków i sekcji kadłuba statku, która jest wykonywana w celu oceny przydatności montażowej bloków i sekcji podczas ostatniej fazy montażu kadłuba w suchym doku lub na pochylni. Ponieważ każdy blok jest mierzony w innym układzie odniesienia, istnieje konieczność transformacji wyników pomiarów do wspólnego układu przyjętego w modelu CAD. Zakłada się, że transformacja nie pogarsza dokładności wyników pomiarów i zachowuje odległości pomiędzy zmierzonymi punktami. Zaproponowany algorytm optymalizacji transformacji wyników pomiarów minimalizuje sumy odległości pomiędzy mierzonymi punktami, a korespondującymi punktami w modelu CAD, uwzględniając jedno z dwóch możliwych ograniczeń: wspólna płaszczyzna, albo wspólna oś. W artykule zaprezentowano zarówno opis metody optymalizacji, jak i przykład transformacji punktów zmierzonych na styku dwóch sekcji dna podwójnego statku. We wnioskach opisano zalety i wady przedstawionego algorytmu, jak również kierunki dalszych badań.
    The paper presents the constrained optimisation algorithm for transformation of measurements taken on ship blocks and sections to asses their feasibility for the final stage of assembly in a dry dock or on a slipway. As each block is measured in different coordinate system it is necessary to make transformations and bring results to a common CAD model. Transformation must keep distances between the measured points and must not lose accuracy. The analysis of transformed measurements requires first to check if blocks were manufactured within tolerances assumed in the design and then to compare if the two neighbour blocks can be joined. The optimisation is aimed at minimising the sum of distances between the transformed and corresponding points in a CAD model. The constraint is alignment of chosen axes or planes. The paper contains both description of the transformation algorithms and an example of transformation of points measured on two neighbour sections of a ship double bottom. In the summary advantages and disadvantages of the algorithm are described and directions for further research are given.
    Źródło:
    Pomiary Automatyka Kontrola; 2010, R. 56, nr 6, 6; 597-601
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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