Academic literature on the topic 'Model reference'
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Journal articles on the topic "Model reference"
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.
Full textChow, 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.
Full textSisson, Norwood. "Dialogue management reference model." ACM SIGCHI Bulletin 18, no. 2 (October 1986): 34–35. http://dx.doi.org/10.1145/15683.15687.
Full textLEE, 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.
Full textMontagner, 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.
Full textSu, 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.
Full textSalahou, 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.
Full textWei, 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.
Full textOlla, 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.
Full textLayne, 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.
Full textDissertations / Theses on the topic "Model reference"
Maeland, Jahn Andreas. "Model-reference neural control." Thesis, University of Salford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238757.
Full textKeller, Uwe E. "Qualitative model reference adaptive control." Thesis, Heriot-Watt University, 1999. http://hdl.handle.net/10399/592.
Full textLayne, Jeffery Ray. "Fuzzy model reference learning control." Connect to resource, 1992. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1159541293.
Full textPrasse, Michael John. "A model of anaphoric reference /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487325740719477.
Full textMoreno, Cavidad Julian. "Reference model for adaptive and intelligent educational systems supported by learning objects." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/70222.
Full textComputer Aided Learning, known more widely with the generic name of e-learning, has become a powerful tool with lots of potentialities within educational field. Even though, one of the main critics that it receives is that in most cases the implemented courses follows a “one size fits all” approach, which means that all students receive the same content in the same way being unaware of their particular needs. This problem is not due only to the absence of direct interaction between student and tutor, but also because of the lack of an appropriate instructional design. There are several approaches which deal with this issue and look for adapt the teaching process to students. One could say that in the top of those approaches the Adaptive and Intelligent Educational Systems are situated, which merges the functionalities of two approaches: the Adaptive Educational Hypermedia Systems and the Intelligent Tutoring Systems. Nevertheless, after an extensive literature review, a major inconvenience is still found for this kind of systems and particularly for their reference models: or they are too simple, including just a few functionalities; or they are too complex, which difficult their design and implementation. Considering this panorama, the main objective of this dissertation thesis was the definition of a reference model trying to reach such an elusive equilibrium, in such a way that allows the design of courses which adapt themselves in an intelligent and effective way to the progress and characteristics of each student but without being too complex. Another important feature is that this model integrates Learning Objects, promoting this way flexibility and reusability. In order to achieve this general objective, three sub-models were considered: a domain model, a student model and a tutor model. The first one serves to structure the knowledge domain and was defined using the notion of learning goal and a flexible multilevel schema with optional prerequisite operations. The second one aids to characterize students and considered personal, knowledge and psycho-cognitive information. The third one may be considered as the hearth of the system and defines the adopted adaptive functionalities: sequencing and navigation, content presentation, assessment, and collaborative support. With the aim of clarify the three sub-models, as well as all their components and relationships, an instantiation example was also presented. Such an instantiation was called Doctus, an authoring tool for adaptive courses. Doctus was not only helpful to exemplify the setup of the referece model as a whole, but also to refine sub-models and several procedures envolved. As final part of the dissertation, the implementation and preliminary validation of Doctus was performed. This was done with 51 subjects, teachers from different formation levels. The obtained results in this stage were outstanding, all the adaptive functionalities were well evaluated and all of those polled felt enthusiastic about counting with a tool for helping them in their teaching practices considering students as particular individuals.
El aprendizaje asistido por computador, conocido más ampliamente con el nombre genérico de e-learning, se ha convertido en una poderosa herramienta con amplias potencialidades dentro del campo educativo. Aun así, una de las mayores críticas que este recibe es que en la mayoría de los casos los cursos que son implementados siguen un enfoque “one size fits all”, es decir, que todos los alumnos reciben exactamente el mismo contenido y de la misma manera desconociendo sus necesidades particulares. Esta falla radica no sólo en la falta de interacción directa entre alumno y tutor, sino también en la falta de un diseño instruccional apropiado que considere diversos de los enfoques disponibles hoy en día. Existen diversos enfoques que buscan solucionar este problema y adaptar el proceso de enseñanza a los estudiantes. Se podría decir que a la vanguardia de estos enfoques se encuentran los Sistemas Educacionales Inteligentes Adaptativos, los cuales combinan las funcionalidades de dos enfoques: los Sistemas Hipermedia Educacionales Adaptativos y los Sistemas Tutoriales Inteligentes. Sin embargo, luego de una extensa revisión bibliográfica, se encontró que existe aún un inconveniente importante con este tipo de sistemas y en particular con sus modelos de referencia: o son demasiado simples, incluyendo solamente unas pocas funcionalidades; o son demasiado complejos, lo cual dificulta su diseño e implementación. Considerando este panorama, el objetivo principal de esta tesis fue la definición de un modelo de referencia intentando alcanzar tal equilibrio esquivo, de tal manera que permita el diseño de cursos que se adapten de una manera efectiva e inteligente al progreso y características de cada estudiante pero sin ser demasiado complejo. Otra propiedad importante de dicho modelo es que integra el uso de Objetos de Aprendizaje, promoviendo así la flexibilidad y la reusabilidad. Con el fin de alcanzar este objetivo general, tres sub modelos fueron considerados: un modelo del dominio, un modelo del estudiante y un modelo del tutor. El primero sirve para estructurar el dominio de conocimiento y fue definido empleando la noción de objetivo de aprendizaje junto con un esquema flexible multinivel con operaciones opcionales de prerrequisitos. El segundo busca caracterizar los estudiantes y considera información personal, de conocimiento y psico-cognitiva. El tercero puede ser considerado como el corazón del sistema y define las funcionalidades adaptativas consideradas: secuenciamiento y navegación, presentación de contenido, evaluación, y soporte colaborativo. Con el fin de clarificar los tres sub modelos, así como todos sus componentes y relaciones, se presentó además un ejemplo de instanciación. Tal instanciación se denominó Doctus, el cual consiste en una herramienta de autor para cursos adaptativos. Doctus no solamente sirvió para ejemplificar el uso del modelo de referencia en su totalidad, sino también para refinar los sub modelos y algunos procedimientos involucrados. Como parte final de esta tesis, se realizó también la implementación y validación preliminar de Doctus. Esto se hizo con 51 sujetos, todos profesores en diversos niveles de formación. Los resultados obtenidos en esta etapa fueron sobresalientes en el sentido que todas las funcionalidades adaptativas fueron bien evaluadas y todos los encuestados manifestaron su entusiasmo por contar con una herramienta que les ayudara en sus prácticas docentes considerando a sus estudiantes como individuos particulares.
Kergus, Pauline. "Data-driven model reference control in the frequency-domain : From model reference selection to controller validation." Thesis, Toulouse, ISAE, 2019. http://www.theses.fr/2019ESAE0031.
Full textIn many applications, no physical description of the plant is available and the control law has to be designed on the basis of input-output measurements only. Two control strategies can then be considered : one can either identify a model of the plant and then use any kind of model-based technique (indirect methods) to obtain a control law, or use a data-driven strategy that directly compute the controller from the experimental data (direct methods). This work focuses on data-driven techniques : the objective of this thesis is to propose a new data-driven control technique based on frequency-domain data collected from the system to be controlled. After recalling some basics in feedback control, an overview of data-driven control is given. Then, the proposed method is introduced. It is a model reference technique : the identification problem is moved from the plant to the controller. In this work, two identification techniques are used to that purpose: the Loewner framework and the subspace approach. In addition, a technique is proposed to estimate the system’s instabilities. It allows to determine the performance limitations and to select achievable specifications. Finally, a stability condition, already known in data-driven control, is used during the reduction of the controller to ensure closed-loop stability. Along this thesis, the different steps of the method are progressively applied on two numercial examples. In the end, the proposed technique is applied on two irrational systems described by partial differential equations : a continuous crystallizer and an open-channel for hydroelectricity generation. These two examples illustrate the type of applications for which using a data-driven control method is indicated
Zhang, Guoming. "Model reference control for nonlinear plants." Thesis, University of Manchester, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314208.
Full textCamara, C. D. J. "Plant identification using model reference techniques." Thesis, University of Cape Town, 1987. http://hdl.handle.net/11427/23544.
Full textAdesta, Erry Yulian Triblas. "A reference model for extended enterprise." Thesis, University of Huddersfield, 2002. http://eprints.hud.ac.uk/id/eprint/6714/.
Full textTaylor, Chris. "Reference Models for IT Service Provision." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16047/.
Full textBooks on the topic "Model reference"
United States. Patent and Trademark Office. Technical reference model. 4th ed. Washington, D.C: Chief Information Officer, Office of System Architecture and Engineering, 1998.
Find full textUnited States. Patent and Trademark Office. Technical reference model. 3rd ed. Washington, D.C: Chief Information Officer, Office of System Architecture and Engineering, 1997.
Find full textMaeland, Jahn Andreas. Model-reference neural control. Salford: University of Salford, 1994.
Find full textCarter, Clive S. Model drawings reference book. Shepperton: Ian Allan, 1985.
Find full textNguyen, Nhan T. Model-Reference Adaptive Control. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56393-0.
Full textOSI reference model for telecommunications. New York: McGraw-Hill, 2002.
Find full textModel reference adaptive control of manipulators. Taunton, Somerset, England: Research Studies Press, 1990.
Find full textDAO object model: The definitive reference. Sebastopol, CA: O'Reilly, 2000.
Find full textEtsuo, Yamamura. Introduction to model reference adaptive theory. Sapporo, Japan: Institute of Environmental Creation, 1993.
Find full textManufacturing planning and control: A reference model. Amsterdam: Elsevier, 1990.
Find full textBook chapters on the topic "Model reference"
Weik, Martin H. "reference model." In Computer Science and Communications Dictionary, 1443. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_15806.
Full textInce, A. Nejat, Cem Evrendilek, Dag Wilhelmsen, and Fadıl Gezer. "Reference Model." In Planning and Architectural Design of Modern Command Control Communications and Information Systems, 65–71. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6159-0_4.
Full textMauergauz, Yuri. "Reference Model." In Advanced Planning and Scheduling in Manufacturing and Supply Chains, 3–42. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27523-9_1.
Full textSmoryński, C. "Modal Model Theory." In Self-Reference and Modal Logic, 87–132. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4613-8601-8_3.
Full textDerakhshanmanesh, Mahdi. "Reference Implementation." In Model-Integrating Software Components, 189–237. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-09646-5_5.
Full textvan den Heuve, W. J., and M. Jeusfeld. "Model Transformations with Reference Models." In Enterprise Interoperability II, 63–75. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-858-6_6.
Full textWasano, Tetsuo, Yoshizumi Kobayashi, and Ken Sakamura. "CTRON Reference Model." In TRON Project 1988, 145–55. Tokyo: Springer Japan, 1988. http://dx.doi.org/10.1007/978-4-431-68081-9_11.
Full textShekhar, Shashi, and Hui Xiong. "Linear Reference Model." In Encyclopedia of GIS, 612. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_695.
Full textZeidler, Christian. "Reference model evaluation." In Mobile Support in Customer Loyalty Management, 197–219. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8301-5_6.
Full textMans, Ronny S., Wil M. P. van der Aalst, and Rob J. B. Vanwersch. "Healthcare Reference Model." In Process Mining in Healthcare, 27–51. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16071-9_4.
Full textConference papers on the topic "Model reference"
"The Reference Model Models Clinicaltrials.Gov." In 2017 Summer Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2017. http://dx.doi.org/10.22360/summersim.2017.scsc.022.
Full textKannan, Suresh K., and Eric N. Johnson. "Model reference adaptive control with a constrained linear reference model." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5717275.
Full textNakagawa, Elisa Yumi, Flavio Oquendo, and Martin Becker. "RAModel: A Reference Model for Reference Architectures." In 2012 Joint Working IEEE/IFIP Conference on Software Architecture (WICSA) & European Conference on Software Architecture (ECSA). IEEE, 2012. http://dx.doi.org/10.1109/wicsa-ecsa.212.49.
Full textSchöne, René, Johannes Mey, Sebastian Ebert, and Uwe Aßmann. "Connecting conceptual models using relational reference attribute grammars." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3421437.
Full textTahmasebi, Sanaz, Mojtaba Ahmadieh Khanesar, and Mohammad Teshnehlab. "Fuzzy reference model for adaptive indirect Takagi-Sugeno model reference control." In 2016 IEEE 13th International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2016. http://dx.doi.org/10.1109/icnsc.2016.7479009.
Full textRost, Wolf. "Mining of DSLs and generator templates from reference applications." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3419492.
Full textLau, Simon Boung-Yew, and Chien-Sing Lee. "Context aware reference model." In the 4th international conference on mobile technology, applications, and systems and the 1st international symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1378063.1378168.
Full textBajorek, S., G. Hu, J. Ortensi, R. Hu, and J. Kelly. "BlueCRAB Microreactor Reference Model." In 2020 ANS Virtual Winter Meeting. AMNS, 2020. http://dx.doi.org/10.13182/t123-33025.
Full textErtugrul, Taner, Mehmet Arif Adli, and Metin U. Salamci. "Model reference adaptive control design for helicopters using gain scheduled reference models." In 2016 17th International Carpathian Control Conference (ICCC). IEEE, 2016. http://dx.doi.org/10.1109/carpathiancc.2016.7501090.
Full textBierling, Thomas, Maximilian Mühlegg, Florian Holzapfel, and Rudolf Maier. "Reference Model Modification for Robust Performance Conservation of Model Reference Adaptive Controllers." In AIAA Guidance, Navigation, and Control (GNC) Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-4512.
Full textReports on the topic "Model reference"
Neary, Vincent S. Reference Inflow Characterization for River Resource Reference Model (RM2). Office of Scientific and Technical Information (OSTI), December 2011. http://dx.doi.org/10.2172/1034378.
Full textGilman, P. SAM Photovoltaic Model Technical Reference. Office of Scientific and Technical Information (OSTI), May 2015. http://dx.doi.org/10.2172/1215213.
Full textZhang, Qin Fen, Brennan T. Smith, and Wei Zhang. Small Hydro Reference Model Project. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1055120.
Full textBurns, Thomas, Elizabeth Fong, David Jefferson, Richard Knox, Leo Mark, Christopher Ready, Louis Reich, Nick Roussopoulos, and Walter Truszkowski. Reference model for DBMS standardization :. Gaithersburg, MD: National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.ir.85-3173.
Full textBarhak, Jacob. Supplemental Information: The Reference Model is a Multi-Scale Ensemble Model of COVID-19. Outbreak, May 2021. http://dx.doi.org/10.34235/b7eaa32b-1a6b-444f-9848-76f83f5a733c.
Full textFong, Elizabeth N., John Gersting, Kate Kinsley, Nancy McDonald, John North, Mark Sastry, and Edward Stull. Reference model for DBMS user facility. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nbs.ir.88-3709.
Full textCarpenter, B., T. Eckert, L. Ciavaglia, and J. Nobre. A Reference Model for Autonomic Networking. Edited by M. Behringer. RFC Editor, May 2021. http://dx.doi.org/10.17487/rfc8993.
Full textBarone, Matthew F., Jonathan Charles Berg, and Daniel Griffith. Reference Model 2: "Rev 0" Rotor Design. Office of Scientific and Technical Information (OSTI), December 2011. http://dx.doi.org/10.2172/1126471.
Full textGilman, Paul, Nicholas A. DiOrio, Janine M. Freeman, Steven Janzou, Aron Dobos, and David Ryberg. SAM Photovoltaic Model Technical Reference 2016 Update. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1429291.
Full textKrause, James, and Gunter Stein. Structural Limitations of Model Reference Adaptive Controllers. Fort Belvoir, VA: Defense Technical Information Center, April 1989. http://dx.doi.org/10.21236/ada206759.
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