Literatura académica sobre el tema "Optimal control methods"
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Artículos de revistas sobre el tema "Optimal control methods"
Gammell, Jonathan D. y Marlin P. Strub. "Asymptotically Optimal Sampling-Based Motion Planning Methods". Annual Review of Control, Robotics, and Autonomous Systems 4, n.º 1 (3 de mayo de 2021): 295–318. http://dx.doi.org/10.1146/annurev-control-061920-093753.
Texto completoTsirlin, A. M. "Methods of Simplifying Optimal Control Problems, Heat Exchange and Parametric Control of Oscillators". Nelineinaya Dinamika 18, n.º 4 (2022): 0. http://dx.doi.org/10.20537/nd220801.
Texto completoVinter, R. B. "PERTURBATION METHODS IN OPTIMAL CONTROL". Bulletin of the London Mathematical Society 23, n.º 6 (noviembre de 1991): 616–17. http://dx.doi.org/10.1112/blms/23.6.616.
Texto completoKučera, Vladimír. "Optimal control: Linear quadratic methods". Automatica 28, n.º 5 (septiembre de 1992): 1068–69. http://dx.doi.org/10.1016/0005-1098(92)90166-d.
Texto completoLang, J. y J. G. Verwer. "W-methods in optimal control". Numerische Mathematik 124, n.º 2 (19 de febrero de 2013): 337–60. http://dx.doi.org/10.1007/s00211-013-0516-x.
Texto completoChalabi, Z. y W. Zhou. "OPTIMAL CONTROL METHODS FOR AGRICULTURAL SYSTEMS". Acta Horticulturae, n.º 406 (abril de 1996): 221–28. http://dx.doi.org/10.17660/actahortic.1996.406.22.
Texto completoHou, T. "Mixed Methods for Optimal Control Problems". Numerical Analysis and Applications 11, n.º 3 (julio de 2018): 268–77. http://dx.doi.org/10.1134/s1995423918030072.
Texto completoChen, Hong, Lulu Guo, Ting Qu, Bingzhao Gao y Fei Wang. "Optimal control methods in intelligent vehicles". Journal of Control and Decision 4, n.º 1 (18 de noviembre de 2016): 32–56. http://dx.doi.org/10.1080/23307706.2016.1254072.
Texto completoBochev, Pavel. "Least-squares methods for optimal control". Nonlinear Analysis: Theory, Methods & Applications 30, n.º 3 (diciembre de 1997): 1875–85. http://dx.doi.org/10.1016/s0362-546x(97)00152-1.
Texto completoSachs, Ekkehard W. "Quasi Newton Methods in Optimal Control". IFAC Proceedings Volumes 18, n.º 2 (junio de 1985): 240. http://dx.doi.org/10.1016/s1474-6670(17)69239-5.
Texto completoTesis sobre el tema "Optimal control methods"
Deshpande, Ameet Shridhar. "Efficient idempotent methods for optimal control". Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3389391.
Texto completoTitle from first page of PDF file (viewed February 12, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 178-182).
Bassou, Leila. "Optimal control methods for systemic risk". Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX041.
Texto completoThis thesis is dedicated to the study of cross-holding game's Nash equilibria in various frameworks. The related model, which was introduced by M-F. Djete & N. Touzi in 2020, aims to capture the interdependence between differenteconomic agents by taking into account, on the one hand, the mutual holding of sharesbetween the entities, and on the other hand, their incomes that can be correlated.- The first part is devoted to the finite population game within the framework of the exponential utility criterion. In the static and dynamic settings under gaussian Bachelier type dynamic, we completely characterize the Nash equilibria and their existence conditions.- The second part is dedicated to the one-period mean field game with common noise (the revenues are correlated), by considering the mean-variance criterion. The formulation of the problem reveals a No-arbitrage condition. In this framework, we characterized explicitly this condition, as well as the mean field equilibria.- In the third part, we extended the study of the mean-field game, with common noise, to the continuous time setting. Here, the problem reveals a weak notion of No-arbitrage condition. The characterization of this condition reduces the analysis of the mean field equilibria to the classical problem of optimal portfolio with random endowment
Goodwin, David L. "Advanced optimal control methods for spin systems". Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/423078/.
Texto completoFabrini, Giulia. "Numerical methods for optimal control problems with biological applications". Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066096/document.
Texto completoThis thesis is divided in two parts: in the first part we focus on numerical methods for optimal control problems, in particular on the Dynamic Programming Principle and on Model Predictive Control (MPC), in the second part we present some applications of the control techniques in biology. In the first part of the thesis, we consider the approximation of an optimal control problem with an infinite horizon, which combines a first step based on MPC, to obtain a fast but rough approximation of the optimal trajectory and a second step where we solve the Bellman equation in a neighborhood of the reference trajectory. In this way, we can reduce the size of the domain in which the Bellman equation can be solved and so the computational complexity is reduced as well. The second topic of this thesis is the control of the Level Set methods: we consider an optimal control, in which the dynamics is given by the propagation of a one dimensional graph, which is controlled by the normal velocity. A final state is fixed and the aim is to reach the trajectory chosen as a target minimizing an appropriate cost functional. To apply the Dynamic Programming approach we firstly reduce the size of the system using the Proper Orthogonal Decomposition. The second part of the thesis is devoted to the application of control methods in biology. We present a model described by a partial differential equation that models the evolution of a population of tumor cells. We analyze the mathematical and biological features of the model. Then we formulate an optimal control problem for this model and we solve it numerically
Weiser, Martin. "Function space complementarity methods for optimal control problems". [S.l. : s.n.], 2001. http://www.diss.fu-berlin.de/2001/189/index.html.
Texto completoTeuber, Claus [Verfasser]. "Optimal Control Methods for Transmission Lines / Claus Teuber". München : Verlag Dr. Hut, 2017. http://d-nb.info/1147674663/34.
Texto completoBlanchard, Eunice Anita. "Exact penalty methods for nonlinear optimal control problems". Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/1805.
Texto completoYucel, Hamdullah. "Adaptive Discontinuous Galerkin Methods For Convectiondominated Optimal Control Problems". Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614523/index.pdf.
Texto completoMusser, Jonathan Wesley. "A comparison of optimal and suboptimal reservoir control methods". Thesis, Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/19315.
Texto completoChai, Qinqin. "Computational methods for solving optimal industrial process control problems". Thesis, Curtin University, 2013. http://hdl.handle.net/20.500.11937/1227.
Texto completoLibros sobre el tema "Optimal control methods"
Anderson, Brian D. O. Optimal control: Linear quadratic methods. Englewood Cliffs, N.J: Prentice Hall, 1990.
Buscar texto completoAnderson, Brian D. O. Optimal control: Linear quadratic methods. Englewood Cliffs, NJ: Prentice-Hall, 1989.
Buscar texto completoBensoussan, Alain. Perturbation methods in optimal control. Paris: Gauthier-Villars, 1988.
Buscar texto completoRoland, Bulirsch, ed. Optimal control: Calculus of variations, optimal control theory, and numerical methods. Basel: Birkhäuser Verlagf, 1993.
Buscar texto completoWang, Xinwei, Jie Liu y Haijun Peng. Symplectic Pseudospectral Methods for Optimal Control. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-3438-6.
Texto completoFalcone, Maurizio, Roberto Ferretti, Lars Grüne y William M. McEneaney, eds. Numerical Methods for Optimal Control Problems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01959-4.
Texto completoAkulenko, Leonid D. Problems and Methods of Optimal Control. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1194-2.
Texto completoAkulenko, Leonid D. Problems and Methods of Optimal Control. Dordrecht: Springer Netherlands, 1994.
Buscar texto completoAkulenko, L. D. Problems and methods of optimal control. Dordrecht: Kluwer Academic Publishers, 1994.
Buscar texto completo1942-, Lee Sung J. y American Mathematical Society Meeting, eds. Operator methods for optimal control problems. New York: M. Dekker, 1987.
Buscar texto completoCapítulos de libros sobre el tema "Optimal control methods"
Locatelli, Arturo. "Second variation methods". En Optimal Control, 221–48. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8328-3_7.
Texto completoSimonovits, András. "Optimal Control". En Mathematical Methods in Dynamic Economics, 191–207. London: Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9780230513532_10.
Texto completoAlekseev, V. M., V. M. Tikhomirov y S. V. Fomin. "Mathematical Methods of the Theory of Extremal Problems". En Optimal Control, 71–153. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7551-1_2.
Texto completoKupfer, F. S. y E. W. Sachs. "Reduced SQP Methods for Nonlinear Heat Conduction Control Problems". En Optimal Control, 145–60. Basel: Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-7539-4_11.
Texto completoSchmidt, Werner H. "Iterative Methods for Optimal Control Processes governed by Integral Equations". En Optimal Control, 69–82. Basel: Birkhäuser Basel, 1993. http://dx.doi.org/10.1007/978-3-0348-7539-4_6.
Texto completoBlanchini, Franco y Stefano Miani. "(Sub-)Optimal control". En Set-Theoretic Methods in Control, 337–88. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4606-6_9.
Texto completoBlanchini, Franco y Stefano Miani. "(Sub-)Optimal Control". En Set-Theoretic Methods in Control, 467–525. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17933-9_10.
Texto completoWestphal, L. C. "Other optimal control methods". En Sourcebook of Control Systems Engineering, 645–76. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1805-1_27.
Texto completoWestphal, Louis C. "Other optimal control methods". En Handbook of Control Systems Engineering, 601–32. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1533-3_27.
Texto completoDikoussar, Vassili V. "Continuation Methods in Boundary Value Problems". En Computational Optimal Control, 65–70. Basel: Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-8497-6_5.
Texto completoActas de conferencias sobre el tema "Optimal control methods"
Stępień, Sławomir y Marcin Chodnicki. "Optimal control of unmanned robotic platform". En 2024 28th International Conference on Methods and Models in Automation and Robotics (MMAR), 59–63. IEEE, 2024. http://dx.doi.org/10.1109/mmar62187.2024.10680832.
Texto completoSokolowski, Jan y Yixin Tan. "Optimal control and optimum design of elasticity system: Topological derivative method for control problem". En 2024 28th International Conference on Methods and Models in Automation and Robotics (MMAR), 11–16. IEEE, 2024. http://dx.doi.org/10.1109/mmar62187.2024.10680821.
Texto completoSoemarsono, Annisa R., Mardlijah y Edwar Yazid. "Optimal Control Methods for Fuzzy Optimal Control Problem". En 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA). IEEE, 2023. http://dx.doi.org/10.1109/icamimia60881.2023.10427679.
Texto completoZaffar, Salman y Attaullah Y. Memon. "Robust and optimal stabilization of uncertain linear systems using LQR methods". En 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915133.
Texto completoPiccoli, Benedetto y Filippo Castiglione. "Optimal control methods for immunotheraphy". En Control Systems: Theory, Numerics and Applications. Trieste, Italy: Sissa Medialab, 2006. http://dx.doi.org/10.22323/1.018.0027.
Texto completoREPŠYTĖ, J. y R. SIMUTIS. "APPLICATION OF GENERIC MODEL CONTROL FOR AUTOTROPHIC BIOMASS SPECIFIC GROWTH CONTROL". En Computer Aided Methods in Optimal Design and Operations. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812772954_0023.
Texto completoPetit, C., J. M. Conan, T. Fusco, J. Montri, C. Kulcsar y H. F. Raynaud. "Off-Axis Adaptive Optics with Optimal Control: Laboratory Validation". En Adaptive Optics: Methods, Analysis and Applications. Washington, D.C.: OSA, 2005. http://dx.doi.org/10.1364/aopt.2005.awa4.
Texto completoSklyar, Grigory M. y Grzegorz Szkibiel. "Computer aided modelling of optimal control". En 2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE, 2012. http://dx.doi.org/10.1109/mmar.2012.6347809.
Texto completoFahroo, Fariba y I. Michael Ross. "Advances in Pseudospectral Methods for Optimal Control". En AIAA Guidance, Navigation and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-7309.
Texto completoMoore, D. S., S. D. McGrane, M. T. Greenfield y R. J. Scharff. "Optimal coherent control methods for explosives detection". En SPIE Defense, Security, and Sensing, editado por Thomas George, M. Saif Islam y Achyut Dutta. SPIE, 2012. http://dx.doi.org/10.1117/12.920944.
Texto completoInformes sobre el tema "Optimal control methods"
Lee, S., S. Guenther y N. Petersson. Compositional Methods for Schroedinger's Equation with Application to Optimal Control. Office of Scientific and Technical Information (OSTI), septiembre de 2022. http://dx.doi.org/10.2172/1888108.
Texto completoDumbacher, S. Multivariable Methods for the Design, Identification and Control of Large Space Structures. Volume 2. Optimal. Fort Belvoir, VA: Defense Technical Information Center, julio de 1989. http://dx.doi.org/10.21236/ada226699.
Texto completoMolotylnikova, Vira. MODERN TYPES OF BODY RELAXATION METHODS AFTER INTENSE PHYSICAL EXERTION. Intellectual Archive, noviembre de 2022. http://dx.doi.org/10.32370/iaj.2748.
Texto completoKularatne, Dhanushka N., Subhrajit Bhattacharya y M. Ani Hsieh. Computing Energy Optimal Paths in Time-Varying Flows. Drexel University, 2016. http://dx.doi.org/10.17918/d8b66v.
Texto completoStepp, Kevin J. Composite Warfare Doctrine - Providing the JFMCC with the Optimal Command and Control Method for Amphibious Operations. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2015. http://dx.doi.org/10.21236/ada621058.
Texto completoJohnson, Derek y Nigel Clark. PR-746-22204-R01 Review of Technologies to Enable In-situ Valve Service to Reduce Methane Emissions. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), marzo de 2024. http://dx.doi.org/10.55274/r0000058.
Texto completoSingh, Anjali. What Is Optogenetics and How Does It Work? ConductScience, julio de 2022. http://dx.doi.org/10.55157/cs20220704.
Texto completoSteele, Dale W., Eduardo L. Caputo, Ghid Kanaan, Michael L. Zahradnik, Elizabeth Brannon, Jennifer B. Freeman, Ethan M. Balk, Thomas A. Trikalinos y Gaelen P. Adam. Diagnosis and Management of Obsessive Compulsive Disorders in Children. Agency for Healthcare Research and Quality (AHRQ), diciembre de 2024. https://doi.org/10.23970/ahrqepccer276.
Texto completoCzaker, Sandra, Thomas Wieland, Moritz Mager, Mohammad Hassan Akhras y Jörg Fischer. From PP waste to high-quality products: Decontamination of the material throughout the entire recycling process chain using state-of-the-art technologies. Universidad de los Andes, diciembre de 2024. https://doi.org/10.51573/andes.pps39.ss.cep.6.
Texto completoLafrancois, Toben, Mark Hove y Jay Glase. Zebra mussel (Dreissena polymorpha) distribution in Apostle Islands National Lakeshore: SCUBA-based search and removal efforts: 2019–2020. National Park Service, mayo de 2022. http://dx.doi.org/10.36967/nrr-2293376.
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