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Статті в журналах з теми "Embedded model control"
Cetinkunt, Sabri, Shin-ichi Nakajima, Brad Nelson, and Salem Haggag. "Embedded-Model-Based Control." Journal of Control Science and Engineering 2013 (2013): 1–2. http://dx.doi.org/10.1155/2013/237897.
Повний текст джерелаTakács, Gergely, Gabriel Batista, Martin Gulan, and Boris Rohaľ-Ilkiv. "Embedded explicit model predictive vibration control." Mechatronics 36 (June 2016): 54–62. http://dx.doi.org/10.1016/j.mechatronics.2016.04.008.
Повний текст джерелаJohansen, Tor A. "Toward Dependable Embedded Model Predictive Control." IEEE Systems Journal 11, no. 2 (June 2017): 1208–19. http://dx.doi.org/10.1109/jsyst.2014.2368129.
Повний текст джерелаMcLain, 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.
Повний текст джерелаLotufo, Mauricio Alejandro, Luigi Colangelo, and Carlo Novara. "Control Design for UAV Quadrotors via Embedded Model Control." IEEE Transactions on Control Systems Technology 28, no. 5 (September 2020): 1741–56. http://dx.doi.org/10.1109/tcst.2019.2918750.
Повний текст джерелаCanuto, Enrico, and Fabio Musso. "Embedded model control: Application to web winding." ISA Transactions 46, no. 3 (June 2007): 379–90. http://dx.doi.org/10.1016/j.isatra.2007.01.002.
Повний текст джерелаCanuto, Enrico. "Embedded Model Control: Outline of the theory." ISA Transactions 46, no. 3 (June 2007): 363–77. http://dx.doi.org/10.1016/j.isatra.2007.01.006.
Повний текст джерелаCanuto, Enrico, Carlo Novara, and Luigi Colangelo. "Embedded model control: Reconciling modern control theory and error-based control design." Control Theory and Technology 16, no. 4 (November 2018): 261–83. http://dx.doi.org/10.1007/s11768-018-8130-1.
Повний текст джерелаLing, K. V., B. F. Wu, and J. M. Maciejowski. "Embedded Model Predictive Control (MPC) using a FPGA." IFAC Proceedings Volumes 41, no. 2 (2008): 15250–55. http://dx.doi.org/10.3182/20080706-5-kr-1001.02579.
Повний текст джерелаCurrie, J., and D. I. Wilson. "Lightweight Model Predictive Control intended for embedded applications." IFAC Proceedings Volumes 43, no. 5 (2010): 278–83. http://dx.doi.org/10.3182/20100705-3-be-2011.00046.
Повний текст джерелаДисертації з теми "Embedded model control"
MOLANO, JIMENEZ ANDRES GUILLERMO. "Embedded Model Control For Mars Terminal Descent Phase." Doctoral thesis, Politecnico di Torino, 2011. http://hdl.handle.net/11583/2501690.
Повний текст джерелаGuiggiani, Alberto. "Embedded model predictive control: finite precision arithmetic and aerospace applications." Thesis, IMT Alti Studi Lucca, 2015. http://e-theses.imtlucca.it/168/1/thesis_GUIGGIANI.pdf.
Повний текст джерелаCIMINI, Gionata. "Complexity certification and efficient implementation of model predictive control for embedded applications." Doctoral thesis, Università Politecnica delle Marche, 2017. http://hdl.handle.net/11566/245310.
Повний текст джерелаDue to the fast sampling frequency and the scarce computational resources, the complexity certification of optimization algorithms plays a key role in determining the success of embedded Model Predictive Control (MPC). This thesis proposes a certification algorithm for dual active-set methods, able to compute exactly the worst-case number of iterations and the amount of time needed to solve a parametric Quadratic Programming (QP) problem, like those that arise in linear MPC. Therefore, given an MPC problem and a computational unit, it can be certified if the optimization problem will be always solved in the prescribed amount of time. The lack of a complexity certification is a threat for accelerating methods as well, as speeding up the worst-case time is much more important than improving the average case in embedded MPC. The thesis presents two novel accelerating methodologies, for which the worst-case improvement can be exactly certified. The first is a semi-explicit MPC, combining an online solver with the multiparametric solution of those polyhedral regions that most affect the worst-case time. The second method consists of an alternative selection for violated constraints in dual active-set solvers, which lowers the worst-case number of iterations and the complexity of the single iteration. Finally, embedded MPC for electrical drives and power converters is experimentally investigated. MPC for the torque control of a brushless motor is demonstrated to be feasible on a cheap control board, and even faster than the corresponding multiparametric solution. Embedded MPC for pre-compensated DC-DC converters is developed, in order to overcome the obstacle of a non-modifiable primal controller, very common in power converters. The issue of estimating the state for multiple DC-DC converters on the same power supply is also addressed, by presenting a unified nonlinear robust observer for six different converter topologies.
Mancino, Francesco. "An embedded model predictive controller for optimal truck driving." Thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205649.
Повний текст джерелаEn algoritm för hastighetsstyrning baserad på modell-prediktiv reglering har utvecklats och testats på befintlig styrsystem i ett Scania lastbil. Genom att använda en enkel modell av fordonet och kunskap om lutningen på vägen framför den kunde man sänka bränsleförbrukningen med nästan 1% i vissa sträckor, jämfört med en regelbaserad farthållare. Problemet är formulerat som en optimerings-problem där bränsleförbrukning och total restid måste minimeras. För att hitta den optimala lösningen användes dynamisk programmering och hela koden är skriven så att den kan exekveras på en Scania styrenehet. Koden är kan köras parallellt med den mjukvara som är installerad på styrenheten. Simuleringar utfördes i en miljö utvecklad i Simulink. Två test-körningar på E4 motorvägen utfördes.
Aksønov, Sergei. "Embedded Control of a Wind Turbine Based on Model Driven Development." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19213.
Повний текст джерелаLOTUFO, MAURICIO ALEJANDRO. "Embedded Model Control for UAVs: theoretical aspects, simulations and experimental results." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2687427.
Повний текст джерелаBrugnolli, Mateus Mussi. "Predictive adaptive cruise control in an embedded environment." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-24092018-151311/.
Повний текст джерелаA inclusão de sistemas avançados para assistência de direção (ADAS) tem beneficiado o conforto e segurança através da aplicação de diversas teorias de controle. Um destes sistemas é o Sistema de Controle de Cruzeiro Adaptativo. Neste trabalho, é usado uma distribuição de duas malhas de controle para uma implementação embarcada em um carro de um Controle de Cruzeiro Adaptativo. O modelo do veículo foi estimado usando a teoria de identificação de sistemas. O controle da malha externa utiliza dados de um radar para calcular uma velocidade de cruzeiro apropriada, enquanto o controle da malha interna busca o acionamento do veículo para atingir a velocidade de cruzeiro com um desempenho desejado. Para a malha interna, é utilizado duas abordagens do controle preditivo baseado em modelo: um controle com horizonte de predição finito, e um controle com horizonte de predição infinito, conhecido como IHMPC. Ambos controladores foram embarcados em um microcontrolador capaz de comunicar diretamente com a unidade eletrônica do veículo. Este trabalho valida estes controladores através de simulações com sistemas variantes e experimentos práticos com o auxílio de um dinamômetro. Ambos controladores preditivos apresentaram desempenho satisfatório, fornecendo segurança para os passageiros.
Júnior, José Genario de Oliveira. "Model predictive control applied to A 2-DOF helicopter." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-11042018-082532/.
Повний текст джерелаEste trabalho apresenta uma aplicação de controle preditivo embarcado em um helicóptero de bancada com dois graus de liberdade. A modelagem matemática é apresentada, junto com uma análise do modelo linear obtido. São obtidas duas representações de modelos de espaço de estados considerando a entrada incremental, que serão usadas posteriormente para a formulação do controlador. Então, é definida a técnica de controle utilizada, juntamente com a inclusão das restrições físicas da planta na formulação do problema. Após isto, é feita uma discussão sobre qual solver para a programação quadrática utilizar, junto com algumas alternativas ao solver escolhido, bem como algumas considerações sobre a aplicação embarcada. Finalmente, são apresentados os resultados da identificação de sistemas aplicadas ao protótipo, bem como os resultados experimentais obtidos.
Chen, Dejiu. "Systems Modeling and Modularity Assessment for Embedded Computer Control Applications." Doctoral thesis, KTH, Maskinkonstruktion, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3792.
Повний текст джерелаQC 20100524
Menendez, Zometa Juan Pablo [Verfasser]. "Code generation for model predictive control of embedded systems / Juan Pablo Menendez Zometa." Magdeburg : Universitätsbibliothek, 2017. http://d-nb.info/1136955097/34.
Повний текст джерелаКниги з теми "Embedded model control"
Forrai, Alexandru. Embedded Control System Design: A Model Based Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Знайти повний текст джерелаs, Luis Alejandro Corte. Verification and scheduling techniques for real-time embedded systems. Linko ping: Linko pings universitet, 2005.
Знайти повний текст джерелаSpacecraft Dynamics and Control: The Embedded Model Control Approach. Elsevier Science & Technology Books, 2018.
Знайти повний текст джерелаCanuto, Enrico, Carlo Novara, Donato Carlucci, Carlos Perez Montenegro, and Luca Massotti. Spacecraft Dynamics and Control: The Embedded Model Control Approach. Elsevier Science & Technology Books, 2018.
Знайти повний текст джерелаForrai, Alexandru. Embedded Control System Design: A Model Based Approach. Springer, 2012.
Знайти повний текст джерелаForrai, Alexandru. Embedded Control System Design: A Model Based Approach. Springer Berlin / Heidelberg, 2014.
Знайти повний текст джерелаHamberg, Roelof, Jacques Verriet, Twan Basten, and Frans Reckers. Model-Based Design of Adaptive Embedded Systems. Springer, 2015.
Знайти повний текст джерелаHamberg, Roelof, Jacques Verriet, Twan Basten, and Frans Reckers. Model-Based Design of Adaptive Embedded Systems. Springer London, Limited, 2013.
Знайти повний текст джерелаHamberg, Roelof, Twan Basten, and Frans Reckers. Model-Based Design of Adaptive Embedded Systems. Springer, 2013.
Знайти повний текст джерелаOulasvirta, Antti, Per Ola Kristensson, Xiaojun Bi, and Andrew Howes, eds. Computational Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.001.0001.
Повний текст джерелаЧастини книг з теми "Embedded model control"
Forrai, Alexandru. "System Identification and Model-Order Reduction." In Embedded Control System Design, 55–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28595-0_3.
Повний текст джерелаCueli, J. R. "Iterative Nonlinear Model Predictive Control." In Taming Heterogeneity and Complexity of Embedded Control, 187–210. Newport Beach, CA USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9780470612217.ch12.
Повний текст джерелаClarke, Edmund, Ansgar Fehnker, Sumit Kumar Jha, and Helmut Veith. "Temporal Logic Model Checking." In Handbook of Networked and Embedded Control Systems, 539–58. Boston, MA: Birkhäuser Boston, 2005. http://dx.doi.org/10.1007/0-8176-4404-0_23.
Повний текст джерелаMontestruque, Luis A., and Panos J. Antsaklis. "Networked Control Systems: A Model-Based Approach." In Handbook of Networked and Embedded Control Systems, 601–25. Boston, MA: Birkhäuser Boston, 2005. http://dx.doi.org/10.1007/0-8176-4404-0_26.
Повний текст джерелаFéron, Eric. "Model-Based Auto Coding of Embedded Control Software with Full Semantics." In Model and Data Engineering, 2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33609-6_2.
Повний текст джерелаOcampo-Martínez, Carlos, Ari Ingimundarson, Vicenç Puig, and Joseba Quevedo. "Hybrid Model Predictive Control Applied on Sewer Networks." In Taming Heterogeneity and Complexity of Embedded Control, 523–39. Newport Beach, CA USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9780470612217.ch30.
Повний текст джерелаChui, Chee-Kong, Binh P. Nguyen, Yvonne Ho, Zimei Wu, Mai Nguyen, Geok-Soon Hong, Daniel Mok, Sumei Sun, and Stephen Chang. "Embedded Real-Time Model Predictive Control for Glucose Regulation." In IFMBE Proceedings, 1437–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_378.
Повний текст джерелаFlikkema, Paul G., Pankaj K. Agarwal, James S. Clark, Carla Ellis, Alan Gelfand, Kamesh Munagala, and Jun Yang. "Model-Driven Dynamic Control of Embedded Wireless Sensor Networks." In Computational Science – ICCS 2006, 409–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758532_55.
Повний текст джерелаSentilles, Séverine, Aneta Vulgarakis, Tomáš Bureš, Jan Carlson, and Ivica Crnković. "A Component Model for Control-Intensive Distributed Embedded Systems." In Component-Based Software Engineering, 310–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87891-9_21.
Повний текст джерелаJianfu, Du, Lu Tiansheng, Zhang Yaou, Wang Geng, and Zhao Zhigang. "Model Predictive Control with Application to a Small-Scale Unmanned Helicopter." In Embedded Systems – Modeling, Technology, and Applications, 131–39. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4933-1_14.
Повний текст джерелаТези доповідей конференцій з теми "Embedded model control"
Nicotra, Marco M., Dominic Liao-McPherson, and Ilya V. Kolmanovsky. "Dynamically Embedded Model Predictive Control." In 2018 Annual American Control Conference (ACC). IEEE, 2018. http://dx.doi.org/10.23919/acc.2018.8431770.
Повний текст джерелаBartok, Roland, Marton L. Kiss, Jozsef Vasarhelyi, Szilveszter Kovacs, and Ahmed Bouzid. "Embedded behavioral model implementation." In 2016 17th International Carpathian Control Conference (ICCC). IEEE, 2016. http://dx.doi.org/10.1109/carpathiancc.2016.7501063.
Повний текст джерелаMeng Qinglei, Jiang Li, and Li Wei. "An embedded multi-model video encoder." In 2006 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.280867.
Повний текст джерелаKone, Ousmane. "Control model for networked embedded applications." In 2008 1st International Conference on Information Technology (IT 2008). IEEE, 2008. http://dx.doi.org/10.1109/inftech.2008.4621601.
Повний текст джерелаCanuto, Enrico S., and Tommaso D'Anna. "Embedded Model Control and dynamic simulation." In 2006 IEEE Conference on Emerging Technologies and Factory Automation. IEEE, 2006. http://dx.doi.org/10.1109/etfa.2006.355227.
Повний текст джерелаViola, Jairo, Sina Dehghan, and YangQuan Chen. "Embedded RIOTS: Model Predictive Control Towards Edge." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97046.
Повний текст джерелаCanuto, Enrico, Carlos Perez Montenegro, Luigi Colangelo, and Mauricio Lotufo. "Embedded Model Control: Design separation under uncertainty." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895544.
Повний текст джерелаOSPINA, JOSÉ, and ENRICO CANUTO. "EMBEDDED MODEL CONTROL AND THE ERROR LOOP." In Proceedings of the 8th International FLINS Conference. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812799470_0160.
Повний текст джерелаSinitsina, Nadezhda V., and Alexander A. Yaroslavtsev. "Model for automated vehicle control using fuzzy logic the fuzzy model of the automated control." In 2017 6th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2017. http://dx.doi.org/10.1109/meco.2017.7977209.
Повний текст джерелаBoshkovski, G., G. Stojanovski, and M. Stankovski. "Development of embedded model predictive controller." In 2017 13th IEEE International Conference on Control & Automation (ICCA). IEEE, 2017. http://dx.doi.org/10.1109/icca.2017.8003038.
Повний текст джерелаЗвіти організацій з теми "Embedded model control"
Thornell, Travis, Charles Weiss, Sarah Williams, Jennifer Jefcoat, Zackery McClelland, Todd Rushing, and Robert Moser. Magnetorheological composite materials (MRCMs) for instant and adaptable structural control. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38721.
Повний текст джерелаChou, Pai, Ken Hines, Kurt Partridge, and Gaetano Borriello. Control Generation for Embedded Systems Based on Composition of Modal Processes. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada416531.
Повний текст джерелаMcGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, November 2014. http://dx.doi.org/10.34074/rsrp.005.
Повний текст джерелаMcGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, November 2014. http://dx.doi.org/10.34074/rsrp.005.
Повний текст джерела