
Dynamic modeling
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In this paper, a nonlinear path tracking controller based on a combination of kinematics and torque backstepping methods is applied to a nonholonomic Two-Wheeled Mobile Robot (WMR). The mobile robot is considered in terms of dynamics model in Cartesian coordinates and its parameters are exactly known.
6p
viengfa
28-10-2024
2
2
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The paper explores the application of the Modal Truncation algorithm in Model Order Reduction, focusing on its effectiveness in reducing high-dimensional mathematical model. The algorithm identifies dominant modes governing dynamic responses, discards the high-order model, and reconstructs a new model with reduced dimensions.
6p
viengfa
28-10-2024
5
2
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This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. This study applied the repeated KFold cross-validation technique with 10 folds on the training data set to make the simulation results more reliable and find a model with more general predictive power.
9p
viengfa
28-10-2024
5
2
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Nghiên cứu áp dụng mô hình hồi quy dữ liệu bảng động (Dynamic panel data model regression) để đánh giá tác động dài hạn của quản trị công đến tăng trưởng kinh tế bằng cách sử dụng dữ liệu về bộ chỉ số quản trị của Ngân hàng thế giới cho 23 quốc gia thu nhập trung bình tại khu vực châu Á trong khoảng thời gian 12 năm (từ năm 2008 đến năm 2020).
16p
viengfa
28-10-2024
2
1
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Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.
21p
viyamanaka
06-02-2025
2
1
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This paper presents a combined method utilizing FE analysis and MBD simulation for structural analysis in the time domain. The MBD model of the full vehicle is built with the object of the trailer frame transferred from the modal neutral file of the FE model.
11p
viyamanaka
06-02-2025
2
2
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Land use and land cover (LULC) change is a key factor influencing land surface temperature (LST) dynamics. This change reflects partly global warming and climate change at local and regional scales. This study aimed to evaluate the effect of LULC on LST change in Lac Duong mountainous district, Lam Dong province in the past 10 years (2013 - 2023), and predict the LST change in 2030.
16p
tuetuebinhan000
23-01-2025
5
2
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This research paper focuses on the critical role of demand forecasting in FMCG, emphasizing the need for LSTM-based deep learning models to deal with demand uncertainty and improve predictive outcomes. Through this exploration, we aim to illuminate the link between demand forecasting and advanced deep learning, enabling FMCG companies to thrive in a highly dynamic business landscape.
8p
vifilm
11-10-2024
10
1
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The study aims to improve the safety and energy savings of IEVs during vehicle operation. First, the article builds a nonlinear dynamic model for IEVs, including electric motors, gearboxes, and braking systems.
7p
vibenya
31-12-2024
8
2
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Time series analysis is an essential field in data analysis, particularly within forecasting and prediction domains. Researching and building time series models play a crucial role in understanding and predicting the temporal dynamics of various phenomena. In mathematics, time series data is defined as data points indexed in chronological order and have a consistent time interval between consecutive observations.
10p
vibenya
31-12-2024
5
2
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The paper proposes an empirical VAR for the UK open economy in order to measure the effects of monetary policy shocks from 1981 to 2003. The identification of the VAR structure is based on short-run restrictions that are consistent with the general implications of a New Keynesian model. The identification scheme used in the paper is successful in identifying monetary policy shocks and solving the puzzles and anomalies regarding the effects of monetary policy shocks.
37p
pnq9292
14-03-2017
79
4
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-Thiết kế mô phỏng là quá trình thiết kế với sự trợ giúp của máy tính và các phần mền ứng dụng chuyên nghiệp. -Các từ khóa được sử dụng trong thiết kế mô phỏng: Simulation, process simulation : Mô phỏng, quá trình mô phỏng Dynamic simulation : mô phỏng động Simulator : thiết kế mô phỏng Equation of state (EOS) : phương trình trạng thái Steady-state simulation : mô phỏng trạng thái bền vững To proceed by trial and error : Mô phỏng bằng cách mò mẫm Model : mô hình Modelling : quá trình mô hình hóa...
62p
nguyenthovt
05-01-2011
353
132
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Những giả thiết cơ bản của Dynamic Simulation trong HYSYS, cách phân tích Flowsheet để đặt giá trị Pressure thích hợp, khai báo những tham số Pressure, Flow phù hợp,... là những nội dung chính trong bài giảng "Dynamic modeling: 3 - Pressure flow theory". Mời các bạn cùng tham khảo.
24p
ntchung8894
11-12-2015
43
6
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Bài giảng "Dynamic modeling: 4 – Column dynamics" cung cấp cho các bạn các kiến thức về cách chuyển sang SSMod, Add DePropanizer Column, Dynamic Simulation Analyses, Develop a Control Strategy,... Với các bạn chuyên ngành Hóa dầu thì đây là tài liệu tham khảo hữu ích cho các bạn.
41p
ntchung8894
11-12-2015
47
4
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Unit 2 "Pressure flow theory" thuộc bài giảng Dynamic modeling using unisim design cung cấp cho các bạn những giả thiết cơ bản của Dynamic Simulation trong Unisim Design, cách phân tích Flowsheet để đặt giá trị Pressure thích hợp, khai báo những tham số Pressure - Flow phù hợp,...
23p
ntchung8894
11-12-2015
52
3
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This chapter presents the following content: The state variables of a dynamic system, the state differential equation, signal – flow graph & block diagram models, alternative signal – flow graph & block diagram models, the transfer function from the state equation,...
50p
youcanletgo_04
17-01-2016
57
3
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Lecture Electronic commerce - Chapter 6: B2B Exchanges, Directories and Other Support Services learning objectives: Define exchanges and describe their major types. Describe the various ownership and revenue models of exchanges. Describe B2B portals. Describe third-party exchanges. Distinguish between purchasing (procurement) and selling consortia.
43p
caphesuadathemtac
09-11-2021
14
4
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Lecture Electronic commerce - Chapter 10: Dynamic Trading: E-Auctions, Bartering and Negotiations learning objectives: Define the various types of e-auctions and list their characteristics. Describe forward and reverse auctions. Describe the benefits and limitations of e-auctions. Describe some unique e-auction models. Describe the various services that support e-auctions.
41p
caphesuadathemtac
09-11-2021
17
4
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Bài giảng Phân tích số liệu mảng - Chương 5: Dynamic panel model. Chương này cung cấp cho sinh viên những nội dung gồm: giới thiệu về Dynamic panel model; ước tính hiệu ứng cố định và ngẫu nhiên; ước tính biến công cụ (phương pháp IV) (Anderson và Hsiao, 1982); 2SLS, phương pháp tiếp cận mô men tổng quát (GMM) (Arenalloand Bond, 1985);... Mời các bạn cùng tham khảo!
32p
caongulam
10-11-2023
20
5
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The study determines the predominant hydrogeological controls on salinity distribution and salinization/freshening, proposing conceptual models to explain the different vertical distributions of groundwater salinity at the coastline. An improved understanding of the sources of salinity and the hydrogeological controls will subsequently provide support for the future management of groundwater in the Western Port Basin, and serve as a template for how to unravel complex salinity distributions in coastal aquifers, and their relationships to palaeo- and recent geomorphological histories.
314p
runthenight05
01-03-2023
17
4
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