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Wyszukujesz frazę "Crank-Nicolson" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Analysis of Shoreline Changes in the Coastal Area of Kuala Terengganu, Malaysia
Autorzy:
Subiyanto, Subiyanto
Ahmad, Ahmad
Mamat, Mustafa
Ihsan, Yudi Nurul
Afrianto, Eddy
Hidayat, Yuyun
Supian, Sudradjat
Powiązania:
https://bibliotekanauki.pl/articles/1031676.pdf
Data publikacji:
2020
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Crank-Nicolson
accretion
coastal development
erosion
implicit scheme
Opis:
The analysis of shoreline change trends is fundamental to a broad range of investigations undertaken by coastal scientists, coastal engineers, and coastal managers, as well as the government, in this case, the coastal development policy-maker. In order to know the changing of shoreline position around the coastal area of Kuala Terengganu, an analysis and then simulation of shoreline change was performed over, respectively, 2 years, 3 years and 4 years. In this simulation, the longshore distance was divided into 87 cells of length 34 m. Shoreline positions from satellite imagery in 2010 were used in this simulation as the initial condition. Based on the numerical result, both erosion (north side) and accretion (south side) occurred around the Sultan Mahmud Airport, Kuala Terengganu. The average erosion and accretion during the 4 year period is 42.93 m and 40.89 m, respectively.
Źródło:
World News of Natural Sciences; 2020, 28; 24-33
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new procedure for the design of iterative learning controllers using a 2D systems formulation of processes with uncertain spatio-temporal dynamics
Autorzy:
Cichy, B.
Gałkowski, K.
Dąbkowski, K.
Aschemann, H.
Rauh, A.
Powiązania:
https://bibliotekanauki.pl/articles/205941.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
iterative learning control
spatio-temporal dynamics
Crank-Nicolson discretization
Opis:
Iterative Learning Control (ILC) is well established in control of linear and nonlinear dynamic systems, both as to underlying theory and experimental validation. This approach specifically aims at applications with the same operation repeated over finite time intervals and reset taking place between subsequent executions (the trials). The main principle behind ILC is to suitably use information from previous trials in selection of the input signal in the current trial with the objective of performance improvement from trial to trial. In this paper, new computationally efficient results are presented for an extension of the ILC approach to the uncertain 2D systems that arise from time and space discretization of partial differential equations. This type of application implies the need to use a spatio–temporal setting for the analysis of the control procedure. The resulting control laws can be computed using Linear Matrix Inequalities (LMIs). An illustrative example is provided.
Źródło:
Control and Cybernetics; 2013, 42, 1; 9-26
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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