Literatura académica sobre el tema "Optimal control"
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Artículos de revistas sobre el tema "Optimal control"
James, M. R. "Optimal Quantum Control Theory". Annual Review of Control, Robotics, and Autonomous Systems 4, n.º 1 (3 de mayo de 2021): 343–67. http://dx.doi.org/10.1146/annurev-control-061520-010444.
Texto completoIskenderov, A. D. y R. K. Tagiyev. "OPTIMAL CONTROL PROBLEM WITH CONTROLS IN COEFFICIENTS OF QUASILINEAR ELLIPTIC EQUATION". Eurasian Journal of Mathematical and Computer Applications 1, n.º 1 (2013): 21–38. http://dx.doi.org/10.32523/2306-3172-2013-1-2-21-38.
Texto completoTrofimov, A. M. y V. M. Moskovkin. "Optimal control over geomorphological systems". Zeitschrift für Geomorphologie 29, n.º 3 (31 de octubre de 1985): 257–63. http://dx.doi.org/10.1127/zfg/29/1985/257.
Texto completoGoncharenko, Borys, Larysa Vikhrova y Mariia Miroshnichenko. "Optimal control of nonlinear stationary systems at infinite control time". Central Ukrainian Scientific Bulletin. Technical Sciences, n.º 4(35) (2021): 88–93. http://dx.doi.org/10.32515/2664-262x.2021.4(35).88-93.
Texto completoFahroo, Fariba. "Optimal Control". Journal of Guidance, Control, and Dynamics 24, n.º 5 (septiembre de 2001): 1054–55. http://dx.doi.org/10.2514/2.4822.
Texto completoNaidu, D. "Optimal control". IEEE Transactions on Automatic Control 32, n.º 10 (octubre de 1987): 944. http://dx.doi.org/10.1109/tac.1987.1104454.
Texto completoSargent, R. W. H. "Optimal control". Journal of Computational and Applied Mathematics 124, n.º 1-2 (diciembre de 2000): 361–71. http://dx.doi.org/10.1016/s0377-0427(00)00418-0.
Texto completoPiccoli, Benedetto. "Optimal control". Automatica 38, n.º 8 (agosto de 2002): 1433–34. http://dx.doi.org/10.1016/s0005-1098(02)00022-5.
Texto completoKučera, V. y J. V. Outrata. "Optimal control". Automatica 24, n.º 1 (enero de 1988): 109–10. http://dx.doi.org/10.1016/0005-1098(88)90015-5.
Texto completoVenkateswarlu, A. "Optimal control". Control Engineering Practice 4, n.º 7 (julio de 1996): 1035–36. http://dx.doi.org/10.1016/0967-0661(96)88552-2.
Texto completoTesis sobre el tema "Optimal control"
Maslovskaya, Sofya. "Inverse Optimal Control : theoretical study". Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLY013/document.
Texto completoThis PhD thesis is part of a larger project, whose aim is to address the mathematical foundations of the inverse problem in optimal control in order to reach a general methodology usable in neurophysiology. The two key questions are : (a) the uniqueness of a cost for a given optimal synthesis (injectivity) ; (b) the reconstruction of the cost from the synthesis. For general classes of costs, the problem seems very difficult even with a trivial dynamics. Therefore, the injectivity question was treated for special classes of problems, namely, the problems with quadratic cost and a dynamics, which is either non-holonomic (sub-Riemannian geometry) or control-affine. Based on the obtained results, we propose a reconstruction algorithm for the linear-quadratic problem
Maslovskaya, Sofya. "Inverse Optimal Control : theoretical study". Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLY013.
Texto completoThis PhD thesis is part of a larger project, whose aim is to address the mathematical foundations of the inverse problem in optimal control in order to reach a general methodology usable in neurophysiology. The two key questions are : (a) the uniqueness of a cost for a given optimal synthesis (injectivity) ; (b) the reconstruction of the cost from the synthesis. For general classes of costs, the problem seems very difficult even with a trivial dynamics. Therefore, the injectivity question was treated for special classes of problems, namely, the problems with quadratic cost and a dynamics, which is either non-holonomic (sub-Riemannian geometry) or control-affine. Based on the obtained results, we propose a reconstruction algorithm for the linear-quadratic problem
BerovicÌ, Daniel Philip. "Optimal hybrid control". Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408766.
Texto completoBoucher, Randy. "Galerkin optimal control". Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/44526.
Texto completoA Galerkin-based family of numerical formulations is presented for solving nonlinear optimal control problems. This dissertation introduces a family of direct methods that calculate optimal trajectories by discretizing the system dy-namics using Galerkin numerical techniques and approximate the cost function with Gaussian quadrature. In this numerical approach, the analysis is based on L2-norms. An important result in the theoretical foundation is that the feasibility and consistency theorems are proved for problems with continuous and/or piecewise continuous controls. Galerkin methods may be formulated in a number of ways that allow for efficiency and/or improved accuracy while solving a wide range of optimal control problems with a variety of state and control constraints. Numerical formula-tions using Lagrangian and Legendre test functions are derived. One formulation allows for a weak enforcement of boundary conditions, which imposes end conditions only up to the accuracy of the numerical approximation itself. Additionally, the multi-scale formulation can reduce the dimension of multi-scale optimal control problems, those in which the states and controls evolve on different timescales. Finally, numerical examples are shown to demonstrate the versatile nature of Galerkin optimal control.
Shao, Cheng. "Biologically-inspired optimal control". College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/3102.
Texto completoThesis research directed by: Mechanical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Stötzner, Ailyn. "Optimal Control of Thermoviscoplasticity". Universitätsverlag der Technischen Universität Chemnitz, 2018. https://monarch.qucosa.de/id/qucosa%3A31887.
Texto completoDiese Arbeit ist der Untersuchung von Optimalsteuerproblemen gewidmet, denen ein quasistatisches, thermoviskoplastisches Model mit kleinen Deformationen, mit linearem kinematischen Hardening, von Mises Fließbedingung und gemischten Randbedingungen zu Grunde liegt. Mathematisch werden thermoviskoplastische Systeme durch nichtlineare partielle Differentialgleichungen und eine variationelle Ungleichung der zweiten Art beschrieben, um die elastischen, plastischen und thermischen Effekte abzubilden. Durch die Miteinbeziehung thermischer Effekte, treten verschiedene mathematische Schwierigkeiten während der Analysis des thermoviskoplastischen Systems auf, die ihren Ursprung hauptsächlich in der schlechten Regularität der nichtlinearen Terme auf der rechten Seite der Wärmeleitungsgleichung haben. Eines unserer Hauptresultate ist die Existenz einer eindeutigen schwachen Lösung, welches wir mit Hilfe von einem Fixpunktargument und unter Anwendung von maximaler parabolischer Regularitätstheorie beweisen. Zudem definieren wir die entsprechende Steuerungs-Zustands-Abbildung und untersuchen Eigenschaften dieser Abbildung wie die Beschränktheit, schwache Stetigkeit und lokale Lipschitz Stetigkeit. Ein weiteres wichtiges Resultat ist, dass die Abbildung Hadamard differenzierbar ist; Hauptbestandteil des Beweises ist die Umformulierung der variationellen Ungleichung, der sogenannten viskoplastischen Fließregel, als eine Banachraum-wertige gewöhnliche Differentialgleichung mit nichtdifferenzierbarer rechter Seite. Schließlich runden wir diese Arbeit mit numerischen Beispielen ab.
Al, Helal Zahra Hassan A. "Optimal control of diabetes". Thesis, Curtin University, 2016. http://hdl.handle.net/20.500.11937/2107.
Texto completoPfeiffer, Laurent. "Sensitivity analysis for optimal control problems. Stochastic optimal control with a probability constraint". Palaiseau, Ecole polytechnique, 2013. https://pastel.hal.science/docs/00/88/11/19/PDF/thesePfeiffer.pdf.
Texto completoThis thesis is divided into two parts. In the first part, we study constrained deterministic optimal control problems and sensitivity analysis issues, from the point of view of abstract optimization. Second-order necessary and sufficient optimality conditions, which play an important role in sensitivity analysis, are also investigated. In this thesis, we are interested in strong solutions. We use this generic term for locally optimal controls for the L1-norm, roughly speaking. We use two essential tools: a relaxation technique, which consists in using simultaneously several controls, and a decomposition principle, which is a particular second-order Taylor expansion of the Lagrangian. Chapters 2 and 3 deal with second-order necessary and sufficient optimality conditions for strong solutions of problems with pure, mixed, and final-state constraints. In Chapter 4, we perform a sensitivity analysis for strong solutions of relaxed problems with final-state constraints. In Chapter 5, we perform a sensitivity analysis for a problem of nuclear energy production. In the second part of the thesis, we study stochastic optimal control problems with a probability constraint. We study an approach by dynamic programming, in which the level of probability is a supplementary state variable. In this framework, we show that the sensitivity of the value function with respect to the probability level is constant along optimal trajectories. We use this analysis to design numerical schemes for continuous-time problems. These results are presented in Chapter 6, in which we also study an application to asset-liability management
Vanichsriratana, Wirat. "Optimal control of fed-batch fermentation processes". Thesis, University of Westminster, 1996. https://westminsterresearch.westminster.ac.uk/item/94908/optimal-control-of-fed-batch-fermentation-processes.
Texto completoCarlsson, Jesper. "Optimal Control of Partial Differential Equations in Optimal Design". Doctoral thesis, KTH, Numerisk Analys och Datalogi, NADA, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9293.
Texto completoDenna avhandling handlar om approximation av optimalt styrda partiella differentialekvationer för inversa problem inom optimal design. Viktiga exempel på sådana problem är optimal materialdesign och parameterskattning. Inom materialdesign är målet att konstruera ett material som uppfyller vissa optimalitetsvillkor, t.ex. att konstruera en så styv balk som möjligt under en given vikt, medan ett exempel på parameterskattning är att hitta den inre strukturen hos ett material genom att applicera ytkrafter och mäta de resulterande förskjutningarna. Problem inom optimal styrning, speciellt för styrning av partiella differentialekvationer,är ofta illa ställa och måste regulariseras för att kunna lösas numeriskt. Teorin för Hamilton-Jacobi-Bellmans ekvationer används här för att konstruera regulariseringar och ge feluppskattningar till problem inom optimaldesign. Den konstruerade Pontryaginmetoden är en enkel och generell metod där det första analytiska steget är att regularisera Hamiltonianen. I nästa steg löses det Hamiltonska systemet effektivt med Newtons metod och en gles Jacobian. Vi härleder även en feluppskattning för skillnaden mellan den exakta och den approximerade målfunktionen. Denna uppskattning beror endast på skillnaden mellan den sanna och den regulariserade, ändligt dimensionella, Hamiltonianen, båda utvärderade längst lösningsbanan och dessL²-projektion. Felet beror alltså ej på skillnaden mellan den exakta och denapproximativa lösningen till det Hamiltonska systemet. Ett annat fall som behandlas är frågan hur indata ska väljas för parameterskattningsproblem. För sådana problem är målet vanligen att bestämma en rumsligt beroende koefficient till en partiell differentialekvation, givet ofullständiga mätningar av lösningen. Här visas att valet av indata, som genererarde ofullständiga mätningarna, påverkar parameterskattningen, och att det är möjligt att formulera meningsfulla optimalitetsvillkor för indata som ökar kvaliteten på parameterskattningen. I avhandlingen presenteras lösningar för diverse tillämpningar inom optimal materialdesign och parameterskattning.
QC 20100712
Libros sobre el tema "Optimal control"
Lewis, Frank L. Optimal control. 3a ed. Hoboken: Wiley, 2012.
Buscar texto completoL, Syrmos Vassilis, ed. Optimal control. 2a ed. New York: Wiley, 1995.
Buscar texto completoAshchepkov, Leonid T., Dmitriy V. Dolgy, Taekyun Kim y Ravi P. Agarwal. Optimal Control. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91029-7.
Texto completoAlekseev, V. M., V. M. Tikhomirov y S. V. Fomin. Optimal Control. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7551-1.
Texto completoLewis, Frank L., Draguna L. Vrabie y Vassilis L. Syrmos. Optimal Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118122631.
Texto completoLocatelli, Arturo. Optimal Control. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8328-3.
Texto completoBulirsch, R., A. Miele, J. Stoer y K. Well, eds. Optimal Control. Basel: Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-7539-4.
Texto completoBulirsch, Roland, Angelo Miele, Josef Stoer y Klaus H. Well, eds. Optimal Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/bfb0040194.
Texto completoVinter, Richard. Optimal Control. Boston: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-8086-2.
Texto completoAschepkov, Leonid T., Dmitriy V. Dolgy, Taekyun Kim y Ravi P. Agarwal. Optimal Control. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49781-5.
Texto completoCapítulos de libros sobre el tema "Optimal control"
Corriou, Jean-Pierre. "Optimal Control". En Process Control, 539–609. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_14.
Texto completoCorriou, Jean-Pierre. "Optimal Control". En Process Control, 493–554. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3848-8_14.
Texto completoPolak, Elijah. "Optimal Control". En Applied Mathematical Sciences, 482–645. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0663-7_4.
Texto completoAndrei, Neculai. "Optimal Control". En Nonlinear Optimization Applications Using the GAMS Technology, 287–322. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-6797-7_12.
Texto completoBloch, A. M. "Optimal Control". En Nonholonomic Mechanics and Control, 329–66. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/b97376_7.
Texto completoMarin, Marin y Andreas Öchsner. "Optimal Control". En Complements of Higher Mathematics, 319–51. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74684-5_10.
Texto completoPreumont, André. "Optimal control". En Vibration Control of Active Structures, 145–72. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5654-7_8.
Texto completoKulkarni, V. G. "Optimal Control". En Modeling, Analysis, Design, and Control of Stochastic Systems, 317–51. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3098-2_10.
Texto completoEriksson, Kenneth, Claes Johnson y Donald Estep. "Optimal Control". En Applied Mathematics: Body and Soul, 1093–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05800-8_26.
Texto completoHu, Shouchuan y Nikolas S. Papageorgiou. "Optimal Control". En Handbook of Multivalued Analysis, 351–508. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4665-8_4.
Texto completoActas de conferencias sobre el tema "Optimal control"
Whidborne, James F. "Solving optimal control problems using chebfun". En 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737522.
Texto completoNie, Yuanbo y Eric C. Kerrigan. "Capturing Discontinuities in Optimal Control Problems". En 2018 UKACC 12th International Conference on Control (CONTROL). IEEE, 2018. http://dx.doi.org/10.1109/control.2018.8516770.
Texto completoYe, Lingjian y Yi Cao. "A formulation for globally optimal controlled variable selection". En 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334619.
Texto completoMemon, Attaullah Y. "Optimal output regulation of minimum phase nonlinear systems". En 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334679.
Texto completoKhelassi, Abdelmadjid, Riad Bendib y Abdelhai Benhalla. "Configurations of binary distillation column for optimal control". En 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334731.
Texto completoKablar, Natasa A. y Vlada Kvrgic. "Inverse optimal robust control of singularly impulsive dynamical systems". En 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334667.
Texto completoHasan, S. N. y J. A. Rossiter. "Free flight concept formulation exploiting neighbouring Optimal Control concepts". En 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334699.
Texto completoMiguel Ferreira, Joao. "Optimal Control of Rodent Populations". En 2018 13th APCA International Conference on Automatic Control and Soft Computing (CONTROLO). IEEE, 2018. http://dx.doi.org/10.1109/controlo.2018.8514260.
Texto completoGenest, Romain y John Ringwood. "Receding horizon pseudospectral optimal control for wave energy conversion". En 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737513.
Texto completoLing, Weifang, Minyou Chen, Zuolin Wei, Feixiong Chen, Lei Yu y David C. Yu. "A distributed optimal control method for active distribution network". En 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737568.
Texto completoInformes sobre el tema "Optimal control"
Rabitz, Herschel. Optimal Control of MoIecular Motion. Fort Belvoir, VA: Defense Technical Information Center, enero de 1995. http://dx.doi.org/10.21236/ada291919.
Texto completoChen, Yan, Arnab Bhattacharya, Jing Li y Draguna Vrabie. Optimal Control by Transfer-Learning. Office of Scientific and Technical Information (OSTI), septiembre de 2019. http://dx.doi.org/10.2172/1988297.
Texto completoShreve, S. E. y V. J. Mizel. Optimal Control with Diminishing and Zero Cost for Control. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1985. http://dx.doi.org/10.21236/ada182805.
Texto completoShao, Cheng y Dimitrios Hristu-Varsakelis. Optimal Control through Biologically-Inspired Pursuit. Fort Belvoir, VA: Defense Technical Information Center, enero de 2004. http://dx.doi.org/10.21236/ada439266.
Texto completoShao, Cheng y Dimitrios Hristu-Varsakelis. Biologically Inspired Algorithms for Optimal Control. Fort Belvoir, VA: Defense Technical Information Center, enero de 2004. http://dx.doi.org/10.21236/ada439518.
Texto completovon Winckel, Gregory John. Optimal Design and Control of Qubits. Office of Scientific and Technical Information (OSTI), septiembre de 2018. http://dx.doi.org/10.2172/1475100.
Texto completoRay, Asok y Travis Ortogero. Language Measure for Robust Optimal Control. Fort Belvoir, VA: Defense Technical Information Center, enero de 2006. http://dx.doi.org/10.21236/ada444858.
Texto completoSachs, Ekkehard W. Superlinear Convergent Algorithms in Optimal Control. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1986. http://dx.doi.org/10.21236/ada179614.
Texto completoDesbrun, Mathieu y Marin Kobilarov. Geometric Computational Mechanics and Optimal Control. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2011. http://dx.doi.org/10.21236/ada564028.
Texto completoShao, Cheng y D. Hristu-Varsakelis. Biologically-Inspired Optimal Control via Intermittent Cooperation. Fort Belvoir, VA: Defense Technical Information Center, enero de 2004. http://dx.doi.org/10.21236/ada438963.
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