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Journal articles on the topic 'Model reference'

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Published: 4 June 2021
Last updated: 13 February 2022

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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

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

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4

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

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5

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

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6

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 (November 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 the added zeros and poles are as far away from the imaginary axis as possible. In the case where this cannot be done, the frequency response method matches the system frequency response of the reference model and the given model to the extent possible using a nonlinear optimization model. Experimental results are presented to confirm that both methods can construct a reference model based on a given transfer function. Deviations in response between the reference models constructed using the two methods and the given model are compared, and the reasons for higher accuracy of the frequency response method are discussed.
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7

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. A review of the performance of pan evaporation to the standard ETo model will also be performed.
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8

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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9

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

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10

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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11

Clewell, A. "Guidelines for Reference Model Preparation." Ecological Restoration 27, no. 3 (August 6, 2009): 244–46. http://dx.doi.org/10.3368/er.27.3.244.

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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 (July 26, 2019): 299–302. http://dx.doi.org/10.7753/ijcatr0808.1001.

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13

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 (September 2011): 96–113. http://dx.doi.org/10.1016/j.pepi.2011.06.015.

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14

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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15

Skowronski, J. M. "Nonlinear model reference adaptive control." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 28, no. 2 (October 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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16

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

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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 (December 2012): 1091–103. http://dx.doi.org/10.1080/08120099.2012.736406.

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18

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

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19

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 (January 25, 2014): 214–18. http://dx.doi.org/10.14445/22312803/ijctt-v7p151.

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20

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

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21

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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22

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

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23

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 (October 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 theoretical background of the Cloud Computing Adoption Reference. Ten interviews were conducted with key informants. The theme pattern analysis of data were done by using qualitative computer programs, Atlas.ti. The findings are shown in summarize patterns that supports the conceptualization of cloud computing adoption reference model. Future work include the adaption of cloud computing adoption reference model specifically for the niche area of mobile computing.</span>
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24

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

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25

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

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26

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

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27

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

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28

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 (June 30, 2017): 75–79. http://dx.doi.org/10.18280/mmep.040202.

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29

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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30

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 (October 20, 2019): 1–10. http://dx.doi.org/10.17485/ijst/2019/v12i39/148004.

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31

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 an efficient symmetric multiprocessor reference model, Hybrid Model, written with SystemC. SystemC can provide a high-level simulation environment and is faster than the traditional hardware description languages. Hybrid Model has been implemented in an efficient 32-bit symmetric multiprocessor verification. Experimental results show our proposed model is a fast, accurate, and efficient symmetric multiprocessor reference model and it is able to help designers to locate design errors easily and accurately.
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32

Leichtle, Dieter, Bethany Colling, Marco Fabbri, Rafael Juarez, Michael Loughlin, Raul Pampin, Eduard Polunovskiy, Arkady Serikov, Andrew Turner, and Luciano Bertalot. "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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33

Sazonov, Andrei V., Jan W. M. Bergmans, Pierre J. M. Cluitmans, Paul A. M. Griep, Johan B. A. M. Arends, and Paul A. J. M. Boon. "Model-Based Analysis and Optimization of the Mapping of Cortical Sources in the Spontaneous Scalp EEG." Computational and Mathematical Methods in Medicine 8, no. 3 (2007): 173–89. http://dx.doi.org/10.1080/17486700701526289.

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The mapping of brain sources into the scalp electroencephalogram (EEG) depends on volume conduction properties of the head and on an electrode montage involving a reference. Mathematically, thissource mapping(SM) is fully determined by anobservation function(OF) matrix. This paper analyses the OF-matrix for a generation model for the desynchronized spontaneous EEG. The model involves a four-shell spherical volume conductor containing dipolar sources that are mutually uncorrelated so as to reflect the desynchronized EEG. The reference is optimized in order to minimize the impact in the SM of the sources located distant from the electrodes. The resulting reference is called thelocalized reference(LR). The OF-matrix is analyzed in terms of the relative power contribution of the sources and the cross-channel correlation coefficient for five existing references as well as for the LR. It is found that theHjorth Laplacian referenceis a fair approximation of the LR, and thus is close to optimum for practical intents and purposes. The other references have a significantly poorer performance. Furthermore, the OF-matrix is analyzed for limits to the spatial resolution for the EEG. These are estimated to be around 2 cm.
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34

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

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35

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

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36

Howat, Ian M., Claire Porter, Benjamin E. Smith, Myoung-Jong Noh, and Paul Morin. "The Reference Elevation Model of Antarctica." Cryosphere 13, no. 2 (February 26, 2019): 665–74. http://dx.doi.org/10.5194/tc-13-665-2019.

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Abstract. The Reference Elevation Model of Antarctica (REMA) is the first continental-scale digital elevation model (DEM) at a resolution of less than 10 m. REMA is created from stereophotogrammetry with submeter resolution optical, commercial satellite imagery. The higher spatial and radiometric resolutions of this imagery enable high-quality surface extraction over the low-contrast ice sheet surface. The DEMs are registered to satellite radar and laser altimetry and are mosaicked to provide a continuous surface covering nearly 95 % the entire continent. The mosaic includes an error estimate and a time stamp, enabling change measurement. Typical elevation errors are less than 1 m, as validated by the comparison to airborne laser altimetry. REMA provides a powerful new resource for Antarctic science and provides a proof of concept for generating accurate high-resolution repeat topography at continental scales.
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37

Yucelen, Tansel, and Anthony J. Calise. "Derivative-Free Model Reference Adaptive Control." Journal of Guidance, Control, and Dynamics 34, no. 4 (July 2011): 933–50. http://dx.doi.org/10.2514/1.53234.

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38

Stepanyan, Vahram, and Kalmanje Krishnakumar. "Adaptive Control with Reference Model Modification." Journal of Guidance, Control, and Dynamics 35, no. 4 (July 2012): 1370–74. http://dx.doi.org/10.2514/1.55756.

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39

Han, Sung-Kook, and Hyun-Sil Lee. "Architectural Reference Model for Semantic Library." Journal of the Korean Society for information Management 24, no. 1 (March 30, 2007): 75–101. http://dx.doi.org/10.3743/kosim.2007.24.1.075.

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40

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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41

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

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42

Relich, Marcin, and Zbigniew Banaszak. "Reference Model of Project Prototyping Problem." Foundations of Management 3, no. 1 (January 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 CSP are integrated. On the other hand, these problems can decompose into the subproblems concerning the functionalities of different fields. The open structure of model enables to solve the decision problems with different level of specificity. The decision problem can regard a query about the results of proposed decisions as well as the decisions guaranteeing the expected results. A declarative kind of proposed reference model in a natural way allows to implement its in constraint programming languages. The possibility of this approach illustrates an example.
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43

Lin, Chih-Min, Maan-Huang Tu, and Yu-Ping Lin. "Multivariable Model Reference LQG Optimal Systems." IFAC Proceedings Volumes 26, no. 2 (July 1993): 391–94. http://dx.doi.org/10.1016/s1474-6670(17)48969-5.

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44

Kalra, Lokesh, and Chriatos Georgakis. "Reference system based model predictive control." IFAC Proceedings Volumes 29, no. 1 (June 1996): 5923–28. http://dx.doi.org/10.1016/s1474-6670(17)58629-2.

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45

Pardini, C., L. Anselmo, A. Rossi, A. Cordelli, and P. Farinella. "A New Orbital Debris Reference Model." Journal of the Astronautical Sciences 46, no. 3 (September 1998): 249–65. http://dx.doi.org/10.1007/bf03546236.

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46

Banaszak, Z. A., and M. B. Zaremba. "Reference Model for a Virtual Enterprise." IFAC Proceedings Volumes 34, no. 2 (April 2001): 11–16. http://dx.doi.org/10.1016/s1474-6670(17)36694-6.

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47

Nguyen, Ba An, and Paul Mandel. "Antiphase dynamics: a generalized reference model." Optics Communications 138, no. 1-3 (May 1997): 81–86. http://dx.doi.org/10.1016/s0030-4018(97)00041-2.

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48

Moretti, Isabel Cristina, and Aldo Braghini Junior. "Reference model for apparel product development." Independent Journal of Management & Production 8, no. 1 (March 1, 2017): 232–62. http://dx.doi.org/10.14807/ijmp.v8i1.538.

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49

Yeung, K. S., W. D. Chung, and H. Yu. "Identifier-tracking model reference adaptive control." International Journal of Control 81, no. 6 (June 2008): 976–88. http://dx.doi.org/10.1080/00207170701613681.

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50

Riehman-Murphy, Christina, and Jennifer Hunter. "Affirming the research party reference model." Reference Services Review 47, no. 1 (February 11, 2019): 48–59. http://dx.doi.org/10.1108/rsr-11-2018-0071.

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Purpose The purpose of this paper is to provide evidence of the value of Research Parties, a new model of supplementary reference in a social environment. Design/methodology/approach A survey of multiple choice and open-ended questions was administered to Research Party participants (n = 43) over the course of three semesters to discover the profiles of the undergraduate students who attended and how they heard about the event and to assess the value of the interaction to the student. Findings Respondents unanimously agreed that their interactions with librarians at Research Parties were helpful because their information seeking needs, including finding sources, learning how to search databases, gaining clarity into the assignment, writing and citing, were met. Respondents also mentioned attributes of the librarian’s disposition or attitude such as enthusiastic conversation, encouragement and patience. Several students reflected on their own learning process and noted that they would seek help from a librarian again. Practical implications The results demonstrate that Research Parties are helpful to undergraduate students and a worthwhile model for academic libraries looking to complement their traditional reference services. Originality/value While faculty and administrators have verbally expressed excitement about Research Parties, librarian colleagues have anecdotally reported success instituting this model at their institutions, and students have provided informal positive feedback, this is the first time the model has been evaluated more formally to capture its value.
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