Literatura académica sobre el tema "Embedded model control"
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Artículos de revistas sobre el tema "Embedded model control"
Cetinkunt, Sabri, Shin-ichi Nakajima, Brad Nelson y Salem Haggag. "Embedded-Model-Based Control". Journal of Control Science and Engineering 2013 (2013): 1–2. http://dx.doi.org/10.1155/2013/237897.
Texto completoTakács, Gergely, Gabriel Batista, Martin Gulan y Boris Rohaľ-Ilkiv. "Embedded explicit model predictive vibration control". Mechatronics 36 (junio de 2016): 54–62. http://dx.doi.org/10.1016/j.mechatronics.2016.04.008.
Texto completoJohansen, Tor A. "Toward Dependable Embedded Model Predictive Control". IEEE Systems Journal 11, n.º 2 (junio de 2017): 1208–19. http://dx.doi.org/10.1109/jsyst.2014.2368129.
Texto completoMcLain, Richard B. y Michael A. Henson. "Nonlinear Model Reference Adaptive Control with Embedded Linear Models". Industrial & Engineering Chemistry Research 39, n.º 8 (agosto de 2000): 3007–17. http://dx.doi.org/10.1021/ie990088t.
Texto completoLotufo, Mauricio Alejandro, Luigi Colangelo y Carlo Novara. "Control Design for UAV Quadrotors via Embedded Model Control". IEEE Transactions on Control Systems Technology 28, n.º 5 (septiembre de 2020): 1741–56. http://dx.doi.org/10.1109/tcst.2019.2918750.
Texto completoCanuto, Enrico y Fabio Musso. "Embedded model control: Application to web winding". ISA Transactions 46, n.º 3 (junio de 2007): 379–90. http://dx.doi.org/10.1016/j.isatra.2007.01.002.
Texto completoCanuto, Enrico. "Embedded Model Control: Outline of the theory". ISA Transactions 46, n.º 3 (junio de 2007): 363–77. http://dx.doi.org/10.1016/j.isatra.2007.01.006.
Texto completoCanuto, Enrico, Carlo Novara y Luigi Colangelo. "Embedded model control: Reconciling modern control theory and error-based control design". Control Theory and Technology 16, n.º 4 (noviembre de 2018): 261–83. http://dx.doi.org/10.1007/s11768-018-8130-1.
Texto completoLing, K. V., B. F. Wu y J. M. Maciejowski. "Embedded Model Predictive Control (MPC) using a FPGA". IFAC Proceedings Volumes 41, n.º 2 (2008): 15250–55. http://dx.doi.org/10.3182/20080706-5-kr-1001.02579.
Texto completoCurrie, J. y D. I. Wilson. "Lightweight Model Predictive Control intended for embedded applications". IFAC Proceedings Volumes 43, n.º 5 (2010): 278–83. http://dx.doi.org/10.3182/20100705-3-be-2011.00046.
Texto completoTesis sobre el tema "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.
Texto completoGuiggiani, 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.
Texto completoCIMINI, 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.
Texto completoDue 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.
Texto completoEn 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.
Texto completoLOTUFO, 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.
Texto completoBrugnolli, 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/.
Texto completoA 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/.
Texto completoEste 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.
Texto completoQC 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.
Texto completoLibros sobre el tema "Embedded model control"
Forrai, Alexandru. Embedded Control System Design: A Model Based Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Buscar texto completos, Luis Alejandro Corte. Verification and scheduling techniques for real-time embedded systems. Linko ping: Linko pings universitet, 2005.
Buscar texto completoSpacecraft Dynamics and Control: The Embedded Model Control Approach. Elsevier Science & Technology Books, 2018.
Buscar texto completoCanuto, Enrico, Carlo Novara, Donato Carlucci, Carlos Perez Montenegro y Luca Massotti. Spacecraft Dynamics and Control: The Embedded Model Control Approach. Elsevier Science & Technology Books, 2018.
Buscar texto completoForrai, Alexandru. Embedded Control System Design: A Model Based Approach. Springer, 2012.
Buscar texto completoForrai, Alexandru. Embedded Control System Design: A Model Based Approach. Springer Berlin / Heidelberg, 2014.
Buscar texto completoHamberg, Roelof, Jacques Verriet, Twan Basten y Frans Reckers. Model-Based Design of Adaptive Embedded Systems. Springer, 2015.
Buscar texto completoHamberg, Roelof, Jacques Verriet, Twan Basten y Frans Reckers. Model-Based Design of Adaptive Embedded Systems. Springer London, Limited, 2013.
Buscar texto completoHamberg, Roelof, Twan Basten y Frans Reckers. Model-Based Design of Adaptive Embedded Systems. Springer, 2013.
Buscar texto completoOulasvirta, Antti, Per Ola Kristensson, Xiaojun Bi y Andrew Howes, eds. Computational Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.001.0001.
Texto completoCapítulos de libros sobre el tema "Embedded model control"
Forrai, Alexandru. "System Identification and Model-Order Reduction". En Embedded Control System Design, 55–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28595-0_3.
Texto completoCueli, J. R. "Iterative Nonlinear Model Predictive Control". En 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.
Texto completoClarke, Edmund, Ansgar Fehnker, Sumit Kumar Jha y Helmut Veith. "Temporal Logic Model Checking". En 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.
Texto completoMontestruque, Luis A. y Panos J. Antsaklis. "Networked Control Systems: A Model-Based Approach". En 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.
Texto completoFéron, Eric. "Model-Based Auto Coding of Embedded Control Software with Full Semantics". En Model and Data Engineering, 2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33609-6_2.
Texto completoOcampo-Martínez, Carlos, Ari Ingimundarson, Vicenç Puig y Joseba Quevedo. "Hybrid Model Predictive Control Applied on Sewer Networks". En 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.
Texto completoChui, Chee-Kong, Binh P. Nguyen, Yvonne Ho, Zimei Wu, Mai Nguyen, Geok-Soon Hong, Daniel Mok, Sumei Sun y Stephen Chang. "Embedded Real-Time Model Predictive Control for Glucose Regulation". En IFMBE Proceedings, 1437–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_378.
Texto completoFlikkema, Paul G., Pankaj K. Agarwal, James S. Clark, Carla Ellis, Alan Gelfand, Kamesh Munagala y Jun Yang. "Model-Driven Dynamic Control of Embedded Wireless Sensor Networks". En Computational Science – ICCS 2006, 409–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758532_55.
Texto completoSentilles, Séverine, Aneta Vulgarakis, Tomáš Bureš, Jan Carlson y Ivica Crnković. "A Component Model for Control-Intensive Distributed Embedded Systems". En Component-Based Software Engineering, 310–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87891-9_21.
Texto completoJianfu, Du, Lu Tiansheng, Zhang Yaou, Wang Geng y Zhao Zhigang. "Model Predictive Control with Application to a Small-Scale Unmanned Helicopter". En Embedded Systems – Modeling, Technology, and Applications, 131–39. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4933-1_14.
Texto completoActas de conferencias sobre el tema "Embedded model control"
Nicotra, Marco M., Dominic Liao-McPherson y Ilya V. Kolmanovsky. "Dynamically Embedded Model Predictive Control". En 2018 Annual American Control Conference (ACC). IEEE, 2018. http://dx.doi.org/10.23919/acc.2018.8431770.
Texto completoBartok, Roland, Marton L. Kiss, Jozsef Vasarhelyi, Szilveszter Kovacs y Ahmed Bouzid. "Embedded behavioral model implementation". En 2016 17th International Carpathian Control Conference (ICCC). IEEE, 2016. http://dx.doi.org/10.1109/carpathiancc.2016.7501063.
Texto completoMeng Qinglei, Jiang Li y Li Wei. "An embedded multi-model video encoder". En 2006 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.280867.
Texto completoKone, Ousmane. "Control model for networked embedded applications". En 2008 1st International Conference on Information Technology (IT 2008). IEEE, 2008. http://dx.doi.org/10.1109/inftech.2008.4621601.
Texto completoCanuto, Enrico S. y Tommaso D'Anna. "Embedded Model Control and dynamic simulation". En 2006 IEEE Conference on Emerging Technologies and Factory Automation. IEEE, 2006. http://dx.doi.org/10.1109/etfa.2006.355227.
Texto completoViola, Jairo, Sina Dehghan y YangQuan Chen. "Embedded RIOTS: Model Predictive Control Towards Edge". En 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.
Texto completoCanuto, Enrico, Carlos Perez Montenegro, Luigi Colangelo y Mauricio Lotufo. "Embedded Model Control: Design separation under uncertainty". En 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895544.
Texto completoOSPINA, JOSÉ y ENRICO CANUTO. "EMBEDDED MODEL CONTROL AND THE ERROR LOOP". En Proceedings of the 8th International FLINS Conference. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812799470_0160.
Texto completoSinitsina, Nadezhda V. y Alexander A. Yaroslavtsev. "Model for automated vehicle control using fuzzy logic the fuzzy model of the automated control". En 2017 6th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2017. http://dx.doi.org/10.1109/meco.2017.7977209.
Texto completoBoshkovski, G., G. Stojanovski y M. Stankovski. "Development of embedded model predictive controller". En 2017 13th IEEE International Conference on Control & Automation (ICCA). IEEE, 2017. http://dx.doi.org/10.1109/icca.2017.8003038.
Texto completoInformes sobre el tema "Embedded model control"
Thornell, Travis, Charles Weiss, Sarah Williams, Jennifer Jefcoat, Zackery McClelland, Todd Rushing y Robert Moser. Magnetorheological composite materials (MRCMs) for instant and adaptable structural control. Engineer Research and Development Center (U.S.), noviembre de 2020. http://dx.doi.org/10.21079/11681/38721.
Texto completoChou, Pai, Ken Hines, Kurt Partridge y Gaetano Borriello. Control Generation for Embedded Systems Based on Composition of Modal Processes. Fort Belvoir, VA: Defense Technical Information Center, enero de 1998. http://dx.doi.org/10.21236/ada416531.
Texto completoMcGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, noviembre de 2014. http://dx.doi.org/10.34074/rsrp.005.
Texto completoMcGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, noviembre de 2014. http://dx.doi.org/10.34074/rsrp.005.
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