Letteratura scientifica selezionata sul tema "Optimal control"
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Articoli di riviste sul tema "Optimal control"
James, M. R. "Optimal Quantum Control Theory". Annual Review of Control, Robotics, and Autonomous Systems 4, n. 1 (3 maggio 2021): 343–67. http://dx.doi.org/10.1146/annurev-control-061520-010444.
Testo completoIskenderov, A. D., e R. K. Tagiyev. "OPTIMAL CONTROL PROBLEM WITH CONTROLS IN COEFFICIENTS OF QUASILINEAR ELLIPTIC EQUATION". Eurasian Journal of Mathematical and Computer Applications 1, n. 1 (2013): 21–38. http://dx.doi.org/10.32523/2306-3172-2013-1-2-21-38.
Testo completoTrofimov, A. M., e V. M. Moskovkin. "Optimal control over geomorphological systems". Zeitschrift für Geomorphologie 29, n. 3 (31 ottobre 1985): 257–63. http://dx.doi.org/10.1127/zfg/29/1985/257.
Testo completoGoncharenko, Borys, Larysa Vikhrova e Mariia Miroshnichenko. "Optimal control of nonlinear stationary systems at infinite control time". Central Ukrainian Scientific Bulletin. Technical Sciences, n. 4(35) (2021): 88–93. http://dx.doi.org/10.32515/2664-262x.2021.4(35).88-93.
Testo completoFahroo, Fariba. "Optimal Control". Journal of Guidance, Control, and Dynamics 24, n. 5 (settembre 2001): 1054–55. http://dx.doi.org/10.2514/2.4822.
Testo completoNaidu, D. "Optimal control". IEEE Transactions on Automatic Control 32, n. 10 (ottobre 1987): 944. http://dx.doi.org/10.1109/tac.1987.1104454.
Testo completoSargent, R. W. H. "Optimal control". Journal of Computational and Applied Mathematics 124, n. 1-2 (dicembre 2000): 361–71. http://dx.doi.org/10.1016/s0377-0427(00)00418-0.
Testo completoPiccoli, Benedetto. "Optimal control". Automatica 38, n. 8 (agosto 2002): 1433–34. http://dx.doi.org/10.1016/s0005-1098(02)00022-5.
Testo completoKučera, V., e J. V. Outrata. "Optimal control". Automatica 24, n. 1 (gennaio 1988): 109–10. http://dx.doi.org/10.1016/0005-1098(88)90015-5.
Testo completoVenkateswarlu, A. "Optimal control". Control Engineering Practice 4, n. 7 (luglio 1996): 1035–36. http://dx.doi.org/10.1016/0967-0661(96)88552-2.
Testo completoTesi sul tema "Optimal control"
Maslovskaya, Sofya. "Inverse Optimal Control : theoretical study". Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLY013/document.
Testo 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.
Testo 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.
Testo completoBoucher, Randy. "Galerkin optimal control". Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/44526.
Testo 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.
Testo 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.
Testo 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.
Testo 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.
Testo 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.
Testo 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.
Testo 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.
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Libri sul tema "Optimal control"
Lewis, Frank L. Optimal control. 3a ed. Hoboken: Wiley, 2012.
Cerca il testo completoL, Syrmos Vassilis, a cura di. Optimal control. 2a ed. New York: Wiley, 1995.
Cerca il testo completoAshchepkov, Leonid T., Dmitriy V. Dolgy, Taekyun Kim e Ravi P. Agarwal. Optimal Control. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91029-7.
Testo completoAlekseev, V. M., V. M. Tikhomirov e S. V. Fomin. Optimal Control. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7551-1.
Testo completoLewis, Frank L., Draguna L. Vrabie e Vassilis L. Syrmos. Optimal Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118122631.
Testo completoLocatelli, Arturo. Optimal Control. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8328-3.
Testo completoBulirsch, R., A. Miele, J. Stoer e K. Well, a cura di. Optimal Control. Basel: Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-7539-4.
Testo completoBulirsch, Roland, Angelo Miele, Josef Stoer e Klaus H. Well, a cura di. Optimal Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/bfb0040194.
Testo completoVinter, Richard. Optimal Control. Boston: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-8086-2.
Testo completoAschepkov, Leonid T., Dmitriy V. Dolgy, Taekyun Kim e Ravi P. Agarwal. Optimal Control. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49781-5.
Testo completoCapitoli di libri sul tema "Optimal control"
Corriou, Jean-Pierre. "Optimal Control". In Process Control, 539–609. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_14.
Testo completoCorriou, Jean-Pierre. "Optimal Control". In Process Control, 493–554. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3848-8_14.
Testo completoPolak, Elijah. "Optimal Control". In Applied Mathematical Sciences, 482–645. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0663-7_4.
Testo completoAndrei, Neculai. "Optimal Control". In 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.
Testo completoBloch, A. M. "Optimal Control". In Nonholonomic Mechanics and Control, 329–66. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/b97376_7.
Testo completoMarin, Marin, e Andreas Öchsner. "Optimal Control". In Complements of Higher Mathematics, 319–51. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74684-5_10.
Testo completoPreumont, André. "Optimal control". In Vibration Control of Active Structures, 145–72. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5654-7_8.
Testo completoKulkarni, V. G. "Optimal Control". In 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.
Testo completoEriksson, Kenneth, Claes Johnson e Donald Estep. "Optimal Control". In 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.
Testo completoHu, Shouchuan, e Nikolas S. Papageorgiou. "Optimal Control". In Handbook of Multivalued Analysis, 351–508. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4665-8_4.
Testo completoAtti di convegni sul tema "Optimal control"
Whidborne, James F. "Solving optimal control problems using chebfun". In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737522.
Testo completoNie, Yuanbo, e Eric C. Kerrigan. "Capturing Discontinuities in Optimal Control Problems". In 2018 UKACC 12th International Conference on Control (CONTROL). IEEE, 2018. http://dx.doi.org/10.1109/control.2018.8516770.
Testo completoYe, Lingjian, e Yi Cao. "A formulation for globally optimal controlled variable selection". In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334619.
Testo completoMemon, Attaullah Y. "Optimal output regulation of minimum phase nonlinear systems". In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334679.
Testo completoKhelassi, Abdelmadjid, Riad Bendib e Abdelhai Benhalla. "Configurations of binary distillation column for optimal control". In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334731.
Testo completoKablar, Natasa A., e Vlada Kvrgic. "Inverse optimal robust control of singularly impulsive dynamical systems". In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334667.
Testo completoHasan, S. N., e J. A. Rossiter. "Free flight concept formulation exploiting neighbouring Optimal Control concepts". In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334699.
Testo completoMiguel Ferreira, Joao. "Optimal Control of Rodent Populations". In 2018 13th APCA International Conference on Automatic Control and Soft Computing (CONTROLO). IEEE, 2018. http://dx.doi.org/10.1109/controlo.2018.8514260.
Testo completoGenest, Romain, e John Ringwood. "Receding horizon pseudospectral optimal control for wave energy conversion". In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737513.
Testo completoLing, Weifang, Minyou Chen, Zuolin Wei, Feixiong Chen, Lei Yu e David C. Yu. "A distributed optimal control method for active distribution network". In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737568.
Testo completoRapporti di organizzazioni sul tema "Optimal control"
Rabitz, Herschel. Optimal Control of MoIecular Motion. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1995. http://dx.doi.org/10.21236/ada291919.
Testo completoChen, Yan, Arnab Bhattacharya, Jing Li e Draguna Vrabie. Optimal Control by Transfer-Learning. Office of Scientific and Technical Information (OSTI), settembre 2019. http://dx.doi.org/10.2172/1988297.
Testo completoShreve, S. E., e V. J. Mizel. Optimal Control with Diminishing and Zero Cost for Control. Fort Belvoir, VA: Defense Technical Information Center, settembre 1985. http://dx.doi.org/10.21236/ada182805.
Testo completoShao, Cheng, e Dimitrios Hristu-Varsakelis. Optimal Control through Biologically-Inspired Pursuit. Fort Belvoir, VA: Defense Technical Information Center, gennaio 2004. http://dx.doi.org/10.21236/ada439266.
Testo completoShao, Cheng, e Dimitrios Hristu-Varsakelis. Biologically Inspired Algorithms for Optimal Control. Fort Belvoir, VA: Defense Technical Information Center, gennaio 2004. http://dx.doi.org/10.21236/ada439518.
Testo completovon Winckel, Gregory John. Optimal Design and Control of Qubits. Office of Scientific and Technical Information (OSTI), settembre 2018. http://dx.doi.org/10.2172/1475100.
Testo completoRay, Asok, e Travis Ortogero. Language Measure for Robust Optimal Control. Fort Belvoir, VA: Defense Technical Information Center, gennaio 2006. http://dx.doi.org/10.21236/ada444858.
Testo completoSachs, Ekkehard W. Superlinear Convergent Algorithms in Optimal Control. Fort Belvoir, VA: Defense Technical Information Center, ottobre 1986. http://dx.doi.org/10.21236/ada179614.
Testo completoDesbrun, Mathieu, e Marin Kobilarov. Geometric Computational Mechanics and Optimal Control. Fort Belvoir, VA: Defense Technical Information Center, dicembre 2011. http://dx.doi.org/10.21236/ada564028.
Testo completoShao, Cheng, e D. Hristu-Varsakelis. Biologically-Inspired Optimal Control via Intermittent Cooperation. Fort Belvoir, VA: Defense Technical Information Center, gennaio 2004. http://dx.doi.org/10.21236/ada438963.
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