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Journal articles on the topic 'Model reference'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Shiota, T., and H. Ohmori. "Variable Reference Model for Model Reference Adaptive Control System." IFAC-PapersOnLine 48, no. 14 (2015): 72–75. http://dx.doi.org/10.1016/j.ifacol.2015.09.436.

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2

Chow, Shui-Nee, and Yongfeng Li. "Model reference control for SIRS models." Discrete & Continuous Dynamical Systems - A 24, no. 3 (2009): 675–97. http://dx.doi.org/10.3934/dcds.2009.24.675.

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3

Akshara, Pande1 Vivekanand Pant2 S. Nigam1. "A New Method for Subgraph Detection - SubGraD." International Journal on Cloud Computing: Services and Architecture(IJCCSA) 2, August (2018): 01–08. https://doi.org/10.5281/zenodo.1438588.

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A new method of subgraph detection is introduced in this paper, this new approach is SubGraD. Firstly consider the model graph (query graph) and make the possible sets called model sets starting from the chosen initial node or starter. Similarly, for the source graph (reference graph), all the possible sets called reference sets could be made. Our aim is to make the reference set on the basis of the model set. If it is possible to make the reference set, then it is said that query graph has been detected in the source graph.

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4

Athambawa, Aiman, Md Gapar Md Johar, and Ali Khathibi. "Secure cloud adoption model: novel hybrid reference model." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (2022): 936–43. https://doi.org/10.11591/ijeecs.v27.i2.pp936-943.

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This article discusses research conducted to conceptualise a secure cloud adoption model. The study surveyed SMEs in the Sri Lankan information technology industry using a questionnaire to determine cloud computing adoption factors. The study used Rogers' diffusion of innovation (DOI), Tornatzky and Fleischer's technology-organization-environment (TOE) framework, Venkatesh and Bala's technology acceptance model 3 (TAM3), and Venkatesh, Thong, and Xu's Unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical foundation for evaluating the reference model.

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5

Sisson, Norwood. "Dialogue management reference model." ACM SIGCHI Bulletin 18, no. 2 (1986): 34–35. http://dx.doi.org/10.1145/15683.15687.

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6

Montagner, Jean-Paul, and Don L. Anderson. "Constrained reference mantle model." Physics of the Earth and Planetary Interiors 58, no. 2-3 (1989): 205–27. http://dx.doi.org/10.1016/0031-9201(89)90055-1.

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7

LEE, BORE-KUEN, BOR-SEN CHEN, and YU-PING LIN. "Model reference deadbeat control." International Journal of Control 54, no. 5 (1991): 1217–31. http://dx.doi.org/10.1080/00207179108934206.

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8

Kibris, Özgür, Yusufcan Masatlioglu, and Elchin Suleymanov. "A Random Reference Model." American Economic Journal: Microeconomics 16, no. 1 (2024): 155–209. http://dx.doi.org/10.1257/mic.20220089.

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We provide two nested models of random reference-dependent choice in which the reference point is endogenously determined by random processes. Random choice behavior is due to random reference points, even though, from the decision-maker’s viewpoint, choices are deterministic. Through a revealed preference exercise, we establish when and how one can identify the reference-dependent preferences and the random reference rule from observed choice data. We also present behavioral postulates that characterize the empirical content of our models. Lastly, we investigate an application of our model to

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9

Su, Shi-jie, Yuan-yuan Zhu, Hai-rong Wang, and Chen Yun. "A method to construct a reference model for model reference adaptive control." Advances in Mechanical Engineering 11, no. 11 (2019): 168781401989045. http://dx.doi.org/10.1177/1687814019890455.

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Model reference adaptive control takes the output of a reference model as the target and ensures that the actual output is consistent with the target. In this scenario, the reference model determines the performance of the control system. Constructing a reference model with specific performance is challenging, and most researchers construct the reference model by experience. As alternative frameworks, we propose two novel reference model construction methods, namely, zero-pole method and frequency response method. The zero-pole method establishes a nonlinear optimization model to ensure that t

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10

Olaniyi, G.A., A.O. Adewale, and E.O. Oyeyemi. "Variability of hmF2 over San Vito: Comparison with International Reference Ionosphere (IRI) Model Predictions." Greener Journal of Physical Sciences 3, no. 2 (2013): 58–65. https://doi.org/10.5281/zenodo.3441438.

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A mid-latitude station was selected for this study to investigate the variations in the diurnal and seasonal median values of the height of the peak electron density of the F2-layer of the ionospheric region. Namely, San Vito (SAN)(40.60N,17.80E). Data were arranged into seasons as follow: December Solstices (November, December and January), March Equinox (February, March and April), June Solstices (May, June and July) and September Equinox (August, September and October). The diurnal and seasonal mean values were calculated, recorded and used in the analysis and comparison, this is the basis

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11

Pal, Mita, Gautam Sarkar, Ranjit Barai, and Tamal Roy. "Design of different reference model based model reference adaptive controller for inversed model non-minimum phase system." MATHEMATICAL MODELLING OF ENGINEERING PROBLEMS 4, no. 2 (2017): 75–79. http://dx.doi.org/10.18280/mmep.040202.

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12

Kamau, Harun, Dr O. McOyowo, and Dr O. Okoyo. "An Enhanced Browser Reference Model." International Journal of Computer Applications Technology and Research 8, no. 8 (2019): 299–302. http://dx.doi.org/10.7753/ijcatr0808.1001.

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13

Clewell, A. "Guidelines for Reference Model Preparation." Ecological Restoration 27, no. 3 (2009): 244–46. http://dx.doi.org/10.3368/er.27.3.244.

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14

Olla, Phillip, and Joseph Tan. "The M-Health Reference Model." International Journal of Healthcare Information Systems and Informatics 1, no. 2 (2006): 1–19. http://dx.doi.org/10.4018/jhisi.2006040101.

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15

Layne, Jeffery R., and Kevin M. Passino. "Fuzzy Model Reference Learning Control." Journal of Intelligent and Fuzzy Systems 4, no. 1 (1996): 33–47. http://dx.doi.org/10.3233/ifs-1996-4103.

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16

Kreisselmeier, G., and B. Anderson. "Robust model reference adaptive control." IEEE Transactions on Automatic Control 31, no. 2 (1986): 127–33. http://dx.doi.org/10.1109/tac.1986.1104217.

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17

Kennett, B. L. N., and M. Salmon. "AuSREM: Australian Seismological Reference Model." Australian Journal of Earth Sciences 59, no. 8 (2012): 1091–103. http://dx.doi.org/10.1080/08120099.2012.736406.

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18

Yin, Tang-Kai, and C. S. George Lee. "Fuzzy model-reference adaptive control." IEEE Transactions on Systems, Man, and Cybernetics 25, no. 12 (1995): 1606–15. http://dx.doi.org/10.1109/21.478448.

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19

Al, Al, Gusri Rahmawati, Aswir Premadi, and Asnal Effendi. "PERENCANAAN SISTEM KENDALI MODEL REFERENCE." Jurnal Teknologi dan Vokasi 2, no. 2 (2024): 37–46. http://dx.doi.org/10.21063/jtv.2024.2.2.5.

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Penggunaan drone secara komersial meningkat pesat di sektor ini dalam beberapa dekade terakhir, salah satunya adalah Unmanned Aerial Vehicle (UAV) Tipe Hexacopter. Hexacopter merupakan robot terbang tanpa pilot yang dapat dikendalikan secara manual dengan menggunakan remote control dan dikendalikan secara otomatis atau autopilot. Kelebihan dari hexacopter adalah kemampuannya dalam bermanuver dengan fleksibel, dapat bergerak ke 8 arah mata angin tanpa perlu berbelok terlebih dahulu. Namun, terlepas dari kelebihannya, hexacopter tertentu harus terus terbang dengan stabil dalam berbagai kondisi y

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20

Abou‐Zeid, El‐Sayed. "A knowledge management reference model." Journal of Knowledge Management 6, no. 5 (2002): 486–99. http://dx.doi.org/10.1108/13673270210450432.

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21

Bora, Gaurav, Saurabh Bora, Shivendra Singh, and Sheikh Mohamad Arsalan. "OSI Reference Model: An Overview." International Journal of Computer Trends and Technology 7, no. 4 (2014): 214–18. http://dx.doi.org/10.14445/22312803/ijctt-v7p151.

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22

Garcia, Raphaël F., Jeannine Gagnepain-Beyneix, Sébastien Chevrot, and Philippe Lognonné. "Very preliminary reference Moon model." Physics of the Earth and Planetary Interiors 188, no. 1-2 (2011): 96–113. http://dx.doi.org/10.1016/j.pepi.2011.06.015.

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23

Modiri, N. "The ISO reference model entities." IEEE Network 5, no. 4 (1991): 24–33. http://dx.doi.org/10.1109/65.93182.

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24

Skowronski, J. M. "Nonlinear model reference adaptive control." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 28, no. 2 (1986): 147–57. http://dx.doi.org/10.1017/s0334270000005269.

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AbstractThe known linear model reference adaptive control (MRAC) technique is extended to cover nonlinear and nonlinearizable systems (several equilibria, etc) and used to stabilize the system about a model. The method proposed applies the same Liapunov Design Technique but avoids the classical error equation. Instead it operates in the product of the state spaces of plant and model, aiming at convergence to a diagonal set. Control program, Liapunov functions and adaptive law are specified. The case is illustrated on a two-degrees of freedom robotic manipulator.

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25

Dudhia, Anu. "The Reference Forward Model (RFM)." Journal of Quantitative Spectroscopy and Radiative Transfer 186 (January 2017): 243–53. http://dx.doi.org/10.1016/j.jqsrt.2016.06.018.

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26

Mirkin, Boris, and Per-Olof Gutman. "Tube model reference adaptive control." Automatica 49, no. 4 (2013): 1012–18. http://dx.doi.org/10.1016/j.automatica.2013.01.022.

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27

McCormick, M. P., and Pi-Huan Wang. "Background stratospheric aerosol reference model." Advances in Space Research 7, no. 9 (1987): 73–80. http://dx.doi.org/10.1016/0273-1177(87)90251-1.

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28

Keating, Charles B., and Joseph M. Bradley. "Complex system governance reference model." International Journal of System of Systems Engineering 6, no. 1/2 (2015): 33. http://dx.doi.org/10.1504/ijsse.2015.068811.

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29

Golea, N., A. Golea, and K. Benmahammed. "Fuzzy model reference adaptive control." IEEE Transactions on Fuzzy Systems 10, no. 4 (2002): 436–44. http://dx.doi.org/10.1109/tfuzz.2002.800694.

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30

Wan Mohd Isa, Wan Abdul Rahim, Ahmad Iqbal Hakim Suhaimi, Nurulhuda Noordin, Afdallyna Fathiyah Harun, Juhaida Ismail, and Rosshidayu Awang Teh. "Cloud computing adoption reference model." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 1 (2019): 395. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp395-400.

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<span>This paper presents a study to conceptualize a cloud computing adoption reference model. The case study on the cloud computing adoption was done in one local public university in Malaysia. The case study was conducted to understand in-depth and real context phenomenon by investigating the influencing factors of cloud computing adoption. The main objective of this study is to design a cloud computing adoption reference model. This study applied Technology-Organizational-Environmental (TOE) Framework by Tornatzky &amp; Fleischer and Diffusion of Innovation by Rogers as the theore

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31

Halasz, Frank, and Mayer Schwartz. "The Dexter hypertext reference model." Communications of the ACM 37, no. 2 (1994): 30–39. http://dx.doi.org/10.1145/175235.175237.

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32

Al, Al, Gusri Rahmawati, Aswir Premadi, and Asnal Effendi. "PERENCANAAN SISTEM KENDALI MODEL REFERENCE." Jurnal Teknologi dan Vokasi 2, no. 2 (2024): 37–46. https://doi.org/10.21063/jtv.2024.2.2.37-46.

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Penggunaan drone secara komersial meningkat pesat di sektor ini dalam beberapa dekade terakhir, salah satunya adalah Unmanned Aerial Vehicle (UAV) Tipe Hexacopter. Hexacopter merupakan robot terbang tanpa pilot yang dapat dikendalikan secara manual dengan menggunakan remote control dan dikendalikan secara otomatis atau autopilot. Kelebihan dari hexacopter adalah kemampuannya dalam bermanuver dengan fleksibel, dapat bergerak ke 8 arah mata angin tanpa perlu berbelok terlebih dahulu. Namun, terlepas dari kelebihannya, hexacopter tertentu harus terus terbang dengan stabil dalam berbagai kondisi y

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33

Staalhagen, L. "A comparison between the OSI reference model and the B-ISDN protocol reference model." IEEE Network 10, no. 1 (1996): 24–33. http://dx.doi.org/10.1109/65.484229.

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34

Wei, Jianli, Shida Tian, and Xinghua Yao. "Variable Structure Control for Hypersonic Vehicle Based on Model Reference." International Journal of Applied Physics and Mathematics 5, no. 2 (2015): 144–52. http://dx.doi.org/10.17706/ijapm.2015.5.2.144-152.

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35

Athambawa, Aiman, Md Gapar Md Johar, and Ali Khathibi. "Secure cloud adoption model: novel hybrid reference model." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (2022): 936. http://dx.doi.org/10.11591/ijeecs.v27.i2.pp936-943.

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<p>This article <span>discusses research conducted to conceptualise a secure cloud adoption model. The study surveyed SMEs in the Sri Lankan information technology industry using a questionnaire to determine cloud computing adoption factors. The study used Rogers' diffusion of innovation (DOI), Tornatzky and Fleischer's technology-organization-environment (TOE) framework, Venkatesh and Bala's technology acceptance model 3 (TAM3), and Venkatesh, Thong, and Xu's Unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical foundation for evaluating the reference mo

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36

Lennard, Sielaff, Lucke Dominik, and Wolf Yannic. "A Reference Model for Predictive Maintenance Model Development." Procedia CIRP 130 (2024): 1537–42. http://dx.doi.org/10.1016/j.procir.2024.10.279.

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37

Leichtle, Dieter, Bethany Colling, Marco Fabbri, et al. "The ITER tokamak neutronics reference model C-Model." Fusion Engineering and Design 136 (November 2018): 742–46. http://dx.doi.org/10.1016/j.fusengdes.2018.04.002.

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38

Wang, Shupeng, Kai Huang, Tianyi Xie, and Xiaolang Yan. "Hybrid Model: An Efficient Symmetric Multiprocessor Reference Model." Journal of Electrical and Computer Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/915409.

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Functional verification has become one of the main bottlenecks in the cost-effective design of embedded systems, particularly for symmetric multiprocessors. It is estimated that verification in its entirety accounts for up to 60% of design resources, including duration, computer resources, and total personnel. Simulation-based verification is a long-standing approach used to locate design errors in the symmetric multiprocessor verification. The greatest challenge of simulation-based verification is the creation of the reference model of the symmetric multiprocessor. In this paper, we propose a

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39

Salahou, Mohamed Khaled, Raphinos Tackmore Murava, and Xiu Ju Zhang. "Reference Evapotranspiration Models." Applied Mechanics and Materials 256-259 (December 2012): 2444–53. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2444.

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This paper will examine the concept of evapotranspiration (ET) in more detail and provide more details into the concept of reference evapotranspiration (ETo) and of the measurement and estimation of ETo. Studies of ET models usually involve the comparison of a single model in different climates, different model types in the same location, or model output to either lysimeteric measurements or a local evaporation pan. This paper will examine the performance of ET models versus ET measured using lysimetery or pan evaporation and the performance of ET models when compared to a standard ETo model.

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40

Barhak, J. "The reference model scores fitness of models and populations." Value in Health 16, no. 3 (2013): A28. http://dx.doi.org/10.1016/j.jval.2013.03.166.

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41

McLain, Richard B., and Michael A. Henson. "Nonlinear Model Reference Adaptive Control with Embedded Linear Models." Industrial & Engineering Chemistry Research 39, no. 8 (2000): 3007–17. http://dx.doi.org/10.1021/ie990088t.

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42

Olotu, Y., E.J Ufuah, S.S. Jerome, I. Yusuf, and A.A. Rodiya. "Comparison of Reference Evapotranspiration Estimation Models." European Journal of Advances in Engineering and Technology 8, no. 7 (2021): 39–46. https://doi.org/10.5281/zenodo.10650663.

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<strong>ABSTRACT</strong> <em>Reference evapotranspiration (ET<sub>o</sub>) is an important factor in estimating crop water requirement and water resource management. This research study compares the performance of open pans and Blaney Criddle (BC) to CROPWAT irrigation simulation software using 15-year daily weather data of Auchi was acquired from the Nigeria Meteorological Station (NMET). The accuracy of each model was evaluated using various statistical metrics. ET<sub>o</sub> estimated from the four models were compared with CROPWAT model, an irrigation software program used for solar radi

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43

N, Najva, and Abdul Saleem. "Model reference controller approach for robot arm tracking using neural networks." Indian Journal of Science and Technology 12, no. 39 (2019): 1–10. http://dx.doi.org/10.17485/ijst/2019/v12i39/148004.

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44

Li, Pengfei, Min Zhang, Peijie Lin, Jian Wan, and Ming Jiang. "Visual-Text Reference Pretraining Model for Image Captioning." Computational Intelligence and Neuroscience 2022 (January 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/9400999.

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People can accurately describe an image by constantly referring to the visual information and key text information of the image. Inspired by this idea, we propose the VTR-PTM (Visual-Text Reference Pretraining Model) for image captioning. First, based on the pretraining model (BERT/UNIML), we design the dual-stream input mode of image reference and text reference and use two different mask modes (bidirectional and sequence to sequence) to realize the VTR-PTM suitable for generating tasks. Second, the target dataset is used to fine tune the VTR-PTM. To the best of our knowledge, VTR-PTM is the

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45

Denisov, A. K., S. V. Bykovskii, and P. V. Kustarev. "Reference-based diffusion model for super-resolution." Scientific and Technical Journal of Information Technologies, Mechanics and Optics 25, no. 2 (2025): 321–27. https://doi.org/10.17586/2226-1494-2025-25-2-321-327.

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This article is devoted to digital image processing algorithms, namely, super-resolution task. Currently, various methods of image restoration based on deep learning are actively developing. These methods are used to solve image restoration problems, such as inpainting, denoising, and super-resolution. One important class of super-resolution methods is reference-based super-resolution that allows restoring the missing information in the main image using reference images. Methods of this class are mainly represented by convolutional neural networks which are widely used in computer vision probl

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46

Zhao, Pengfei, Cai Liu, and Xuan Feng. "Model Reference Control for an Economic Growth Cycle Model." Journal of Applied Mathematics 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/384732.

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A useful method in intelligent engineering, called model reference control (MRC), is applied in an economic control problem. The authors review the main framework of MRC and Goodwin growth cycle (GGC) model between two countries and drive the employment rate to be approximate stable in a high level by controlling the workers' share in the national income automatically. It is very helpful to constitute economic policies for a country or an economic union.

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47

Han, Sung-Kook, and Hyun-Sil Lee. "Architectural Reference Model for Semantic Library." Journal of the Korean Society for information Management 24, no. 1 (2007): 75–101. http://dx.doi.org/10.3743/kosim.2007.24.1.075.

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48

Gerosa, Marco, and Marco Taisch. "A Logistic Service Provider Reference Model." IFAC Proceedings Volumes 42, no. 4 (2009): 1340–45. http://dx.doi.org/10.3182/20090603-3-ru-2001.0444.

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49

Lavretsky, Eugene, Ross Gadient, and Irene M. Gregory. "Predictor-Based Model Reference Adaptive Control." Journal of Guidance, Control, and Dynamics 33, no. 4 (2010): 1195–201. http://dx.doi.org/10.2514/1.46849.

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50

Relich, Marcin, and Zbigniew Banaszak. "Reference Model of Project Prototyping Problem." Foundations of Management 3, no. 1 (2011): 33–46. http://dx.doi.org/10.2478/v10238-012-0034-7.

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Reference Model of Project Prototyping ProblemThe paper presents the idea of reference model of project prototyping problem for the projects that are at risk of failure. The hierarchical structure of declarative model connects two fields: functionalities of a typical service enterprise and management system of project execution in the enterprise. The functionalities as separate Constraints Satisfaction Problems (CSP) are described. CSP contains the sets of decision variables, their domains and constraints, which link these variables. The separated problems described as CSP, then in single main

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