Academic literature on the topic 'Sensitivity of optimum control'
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Journal articles on the topic "Sensitivity of optimum control"
Kajiwara, Itsurou, and Akio Nagamatsu. "Simultaneous optimum design of structure and control systems by sensitivity analysis." Finite Elements in Analysis and Design 14, no. 2-3 (October 1993): 187–95. http://dx.doi.org/10.1016/0168-874x(93)90019-m.
Full textCraven, B. D. "Optimal control on an infinite domain." ANZIAM Journal 47, no. 2 (October 2005): 143–53. http://dx.doi.org/10.1017/s1446181100009950.
Full textJalili, Nader, and Nejat Olgac. "A Sensitivity Study on Optimum Delayed Feedback Vibration Absorber." Journal of Dynamic Systems, Measurement, and Control 122, no. 2 (August 10, 1998): 314–21. http://dx.doi.org/10.1115/1.482457.
Full textKAJIWARA, Itsurou, Tohru INAGAKI, and Akio NAGAMATSU. "Optimum Design of Vibration Control System using Modal Analysis and Sensitivity Analysis." Transactions of the Japan Society of Mechanical Engineers Series C 58, no. 552 (1992): 2365–72. http://dx.doi.org/10.1299/kikaic.58.2365.
Full textXue, S. D., J. M. Ko, and Y. L. Xu. "Optimal Performance of the TLCD in Structural Pitching Vibration Control." Journal of Vibration and Control 8, no. 5 (May 2002): 619–42. http://dx.doi.org/10.1177/1077546029287.
Full textOhsaki, M., and Tsuneyoshi Nakamura. "Optimum design with imperfection sensitivity coefficients for limit point loads." Structural Optimization 8, no. 2-3 (October 1994): 131–37. http://dx.doi.org/10.1007/bf01743310.
Full textLowen, Philip D. "Parameter sensitivity in stochastic optimal control∗." Stochastics 22, no. 1 (September 1987): 1–40. http://dx.doi.org/10.1080/17442508708833465.
Full textFonseca, Ijar M., and Peter M. Bainum. "Integrated Structural and Control Optimization." Journal of Vibration and Control 10, no. 10 (October 2004): 1377–91. http://dx.doi.org/10.1177/1077546304042043.
Full textKajiwara, I., and A. Nagamatsu. "Optimum Design of Optical Pick-Up by Elimination of Resonance Peaks." Journal of Vibration and Acoustics 115, no. 4 (October 1, 1993): 377–83. http://dx.doi.org/10.1115/1.2930360.
Full textMoita, P. P., J. B. Cardoso, and A. J. Valido. "A Space-Time Finite Element Model for Design and Control Optimization of Nonlinear Dynamic Response." Shock and Vibration 15, no. 3-4 (2008): 307–14. http://dx.doi.org/10.1155/2008/721760.
Full textDissertations / Theses on the topic "Sensitivity of optimum control"
Pfeiffer, 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.
Full textThis 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
Wong, Man-kwun, and 黃文冠. "Some sensitivity results for time-delay optimal control problems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223655.
Full textScarinci, Teresa. "Sensitivity Relations and Regularity of Solutions of HJB Equations arising in Optimal Control." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066573.
Full textThis dissertation investigates a class of Hamilton-Jacobi-Bellman equations arising in optimal control of O.D.E.. We mainly focus on the sensitivity analysis of the optimal value function associated with the underlying control problems. In the literature, sensitivity relations provide a measure of the robustness of optimal control strategies with respect to variations of the state variable. This is a central tool in applied control, since it allows to study the effects that approximations of the inputs of the system may produce on the optimal policies. In this thesis, we deal whit problems in the Mayer or in the minimum time form. We assume that the dynamic is described by a differential inclusion, in order to allow data to be nonsmooth and to embrace a large area of concrete applications. Nevertheless, this task makes our analysis more challenging. Our main contribution is twofold. We first extend some classical results on sensitivity analysis to the field of nonparameterized problems. These relations take the form of inclusions of the co-state, featuring in the Pontryagin maximum principle, into suitable gradients of the value function evaluated along optimal trajectories. Furthermore, we develop new second-order sensitivity relations involving suitable second order approximations of the optimal value function. Besides being of intrinsic interest, this analysis leads to new consequences regarding the propagation of both pointwise and local regularity of the optimal value functions along optimal trajectories. As applications, we also provide refined necessary optimality conditions for some class of differential inclusions
Hannemann-Tamás, Ralf [Verfasser]. "Adjoint Sensitivity Analysis for Optimal Control of Non-Smooth Differential-Algebraic Equations / Ralf Hannemann-Tamás." Aachen : Shaker, 2013. http://d-nb.info/1051575753/34.
Full textPark, Sungho. "Development and Applications of Finite Elements in Time Domain." Diss., Virginia Tech, 1996. http://hdl.handle.net/10919/30693.
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Евсина, Наталья Александровна. "Синтез нечеткого регулятора для системы управления процессом сушки капиллярно-пористых материалов." Thesis, НТУ "ХПИ", 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/19590.
Full textThe thesis on Candidate Degree in Technical Sciences: Specialty 05.13. 03 - management systems and processes.– National Technical University "Kharkov Polytechnic Institute", Kharkov 2015. This thesis is devoted to the development and improvement of the synthesis method of a fuzzy regulator which ensures the specified quality to control the drying of the capillary and porous materials in a convection oven of periodic action and allows creating the control systems basing on the expert knowledge. The work describes the improved method of the optimal control sensitivity analysis in a linear system with a quadratic quality criterion which allowed obtaining the control insensitivity conditions to a slightly changed parameters in a closed system. Basing on the performed analysis the thesis shows the necessity to perform a joint research of the optimized functionality sensitivity and the sensitivity of the optimal movementtrajectory. The thesis offers a simple synthesis algorithm of the fuzzy and logical regulator which provides the ability to use a standard format describing the linguistic variables and a minimum set of the operating rules. The regulators built on the basis of fuzzy logic in some cases are capable to provide higher quality rates of the transition processes in comparison with classic regulators. Using the synthesis methods of fuzzy control algorithms, it is possible to optimize the difficult control loops omitting mathematical model specification.
Ramirez, Ivan. "Mathematical Modeling of Immune Responses to Hepatitis C Virus Infection." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etd/2425.
Full textЄвсіна, Наталя Олександрівна. "Синтез нечіткого регулятора для системи управління процесом сушіння капілярно-пористих матеріалів." Thesis, НТУ "ХПІ", 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/19587.
Full textThe thesis on Candidate Degree in Technical Sciences: Specialty 05.13. 03 - management systems and processes.– National Technical University "Kharkov Polytechnic Institute", Kharkov 2015. This thesis is devoted to the development and improvement of the synthesis method of a fuzzy regulator which ensures the specified quality to control the drying of the capillary and porous materials in a convection oven of periodic action and allows creating the control systems basing on the expert knowledge. The work describes the improved method of the optimal control sensitivity analysis in a linear system with a quadratic quality criterion which allowed obtaining the control insensitivity conditions to a slightly changed parameters in a closed system. Basing on the performed analysis the thesis shows the necessity to perform a joint research of the optimized functionality sensitivity and the sensitivity of the optimal movementtrajectory. The thesis offers a simple synthesis algorithm of the fuzzy and logical regulator which provides the ability to use a standard format describing the linguistic variables and a minimum set of the operating rules. The regulators built on the basis of fuzzy logic in some cases are capable to provide higher quality rates of the transition processes in comparison with classic regulators. Using the synthesis methods of fuzzy control algorithms, it is possible to optimize the difficult control loops omitting mathematical model specification.
Rockenfeller, Robert [Verfasser], Thomas [Akademischer Betreuer] [Gutachter] Götz, and Jörg [Gutachter] Fehr. "On the application of mathematical methods in Hill-type muscle modeling: stability, sensitivity and optimal control / Robert Rockenfeller. Betreuer: Thomas Götz. Gutachter: Thomas Götz ; Jörg Fehr." Koblenz, 2016. http://d-nb.info/111089550X/34.
Full textSeelbinder, David [Verfasser], Christof [Akademischer Betreuer] [Gutachter] Büskens, and Stephan [Gutachter] Theil. "On-board Trajectory Computation for Mars Atmospheric Entry Based on Parametric Sensitivity Analysis of Optimal Control Problems / David Seelbinder ; Gutachter: Christof Büskens, Stephan Theil ; Betreuer: Christof Büskens." Bremen : Staats- und Universitätsbibliothek Bremen, 2017. http://d-nb.info/1141277700/34.
Full textBooks on the topic "Sensitivity of optimum control"
Choi, Kyung K. Shape design sensitivity analysis and optimal design of structural systems. [Washington, DC: National Aeronautics and Space Administration, 1987.
Find full textSkelton, Robert E. Sensitivity, optimal scaling, and minimum roundoff errors in flexible structure models: Progress report. West Lafayette, Ind: Purdue University, School of Aeronautics and Astronautics, 1987.
Find full textHalyo, Nesim. Investigation, development, and application of optimal output feedback theory: Volume IV : Measures of eigenvalue/eigenvector sensitivity to system parameters and unmodeled dynamics. Hampton, Va: Langley Research Center, 1987.
Find full textReed, D. W. Optimum control of pump operations. Wallingford: Institute of Hydrology, 1993.
Find full textMidkhatovich, I͡U︡supov Rafaėlʹ, ed. Sensitivity of automatic control systems. Boca Raton, Fla: CRC Press, 2000.
Find full textGwendolyn, Johnson-Acsadi, IPPF Programme Committee., and World Fertility Survey, eds. Optimum conditions for childbearing. London: International Planned Parenthood Federation, 1986.
Find full textNATO Advanced Research Workshop on Modelling, Robustness, and Sensitivity Reduction in Control Systems (1986 Groningen, Netherlands). Modelling, robustness, and sensitivity reduction in control systems. Berlin: Springer-Verlag, 1987.
Find full textCurtain, Ruth F., ed. Modelling, Robustness and Sensitivity Reduction in Control Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8.
Full textLust, Robert. Control augmented structural synthesis. Hampton, Va: Langley Research Center, 1988.
Find full textRobertson, A. Vector control of induction motors: Sensitivity to parameter variations. Manchester: UMIST, 1994.
Find full textBook chapters on the topic "Sensitivity of optimum control"
Weinmann, Alexander. "Optimal Control and Performance Sensitivity." In Uncertain Models and Robust Control, 123–36. Vienna: Springer Vienna, 1991. http://dx.doi.org/10.1007/978-3-7091-6711-3_9.
Full textGarcía, David, Jorge Martínez, and Vicent Pla. "Admission Control Policies in Multiservice Cellular Networks: Optimum Configuration and Sensitivity." In Wireless Systems and Mobility in Next Generation Internet, 121–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31963-4_9.
Full textRentrop, Peter, Sven-Olaf Stoll, and Utz Weyer. "Sensitivity Calculations for 2D-Optimization of Turbomachine Blading." In Optimal Control of Complex Structures, 203–16. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8148-7_17.
Full textSzefer, G. "Sensitivity and Optimal Control in Contact Mechanics." In Multifield Problems, 219–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04015-7_24.
Full textCaillau, Jean-Baptiste, and Joseph Noailles. "Continuous Optimal Control Sensitivity Analysis with AD." In Automatic Differentiation of Algorithms, 109–15. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0075-5_11.
Full textNewman, Perry A. "Preparation of Advanced CFD Codes for use in Sensitivity Analyses and Multidisiplinary Design Optimization." In Optimal Design and Control, 241–74. Boston, MA: Birkhäuser Boston, 1995. http://dx.doi.org/10.1007/978-1-4612-0839-6_16.
Full textYoung, N. J. "Super-optimal Hankel norm approximations." In Modelling, Robustness and Sensitivity Reduction in Control Systems, 47–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8_3.
Full textKiehl, Martin. "Sensitivity Analysis of Stiff and Non-Stiff Initial-Value Problems." In Variational Calculus, Optimal Control and Applications, 143–52. Basel: Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8802-8_15.
Full textSafonov, Michael G. "Imaginary-Axis Zeros in Multivariable H∞-Optimal Control." In Modelling, Robustness and Sensitivity Reduction in Control Systems, 71–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8_5.
Full textZames, George, Allen Tannenbaum, and Cyprian Foias. "Optimal H ∞-Interpolation: A New Approach." In Modelling, Robustness and Sensitivity Reduction in Control Systems, 381–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8_22.
Full textConference papers on the topic "Sensitivity of optimum control"
Yu, C. W. "Sensitivity analysis of multi-area optimum power flow solutions." In 3rd International Conference on Advances in Power System Control, Operation and Management (APSCOM 95). IEE, 1995. http://dx.doi.org/10.1049/cp:19951281.
Full textAraujo, Antonio, Simone Gallani, Michela Mulas, and Sigurd Skogestad. "Sensitivity of optimal operation of an activated sludge process model." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334639.
Full textErdal, C. "A sensitivity measure for an electronic, Proportional-Integral (PI) controller and calculating optimum parameter tolerances." In UKACC International Conference on Control (CONTROL '98). IEE, 1998. http://dx.doi.org/10.1049/cp:19980240.
Full textKajiwara, I., and A. Nagamatsu. "An Approach to Simultaneous Optimum Design of Structure and Control Systems by Sensitivity Analysis." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0382.
Full textQin, Wei, Zhuang Kang, and Youwei Kang. "Free Standing Hybrid Riser Global Parametric Sensitivity Analysis and Optimum Design." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49606.
Full textKajiwara, I., K. Tsujioka, and A. Nagamatsu. "Integrated Optimum Design of Structure and Control System by Modal Analysis." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0608.
Full textShikoska, U., D. Davchev, J. Shikoski, Nader Barsoum, Sermsak Uatrongjit, and Pandian Vasant. "THE THEORETICAL FOUNDATION OF SENSITIVITY ANALYSIS FOR GPS." In INTERNATIONAL CONFERENCE ON POWER CONTROL AND OPTIMIZATION: Innovation in Power Control for Optimal Industry. AIP, 2008. http://dx.doi.org/10.1063/1.3008685.
Full textBani Younes, Ahmad, and James Turner. "Feedback Control Sensitivity Calculations Using Computational Differentiation." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51439.
Full textZhou, Jian, and Rajab Challoo. "Low-Sensitivity Optimal Control with Prescribed Closed-loop Eigenvalues." In 1992 American Control Conference. IEEE, 1992. http://dx.doi.org/10.23919/acc.1992.4792158.
Full textKanno, Masaaki, Shinji Hara, Ryosuke Nakamura, and Mitsuru Matsubara. "Algebraic approach to sensitivity analysis in optimal feedback control system design." In Control (MSC). IEEE, 2010. http://dx.doi.org/10.1109/cacsd.2010.5612659.
Full textReports on the topic "Sensitivity of optimum control"
Falco, R. E. Sensitivity to Turbulent Boundary Layer Production Mechanisms to Turbulence Control. Fort Belvoir, VA: Defense Technical Information Center, March 1991. http://dx.doi.org/10.21236/ada250210.
Full textSuzuki, Kunihiko, Taizou Miyazaki, Mamoru Nemoto, and Kenichi Machida. Optimum Control of Spark Ignition Timing in a Gasoline Engine Using Model-Based Methodology. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0512.
Full textSerakos, Demetrios. PHALANX CIWS Control System Stability, Aim Bias Compensation, and Noise- Sensitivity. Fort Belvoir, VA: Defense Technical Information Center, May 1992. http://dx.doi.org/10.21236/ada264733.
Full textYoung, Yan. A Preliminary Study of Sensitivity Analysis and its Applications to Structural Control Problems. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada363042.
Full textBarakat, David J., Samuel R. Denmeade, and Alan D. Friedman. Regulating Prostate Cancer Sensitivity to Chemotherapy through Translational Control of CCAAT Enhancer Binding Proteins. Fort Belvoir, VA: Defense Technical Information Center, August 2015. http://dx.doi.org/10.21236/ada621015.
Full textRegalbuto, M. C., B. Misra, D. B. Chamberlain, R. A. Leonard, and G. F. Vandegrift. The monitoring and control of TRUEX processes. Volume 1, The use of sensitivity analysis to determine key process variables and their control bounds. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/10177602.
Full textFiron, Nurit, Prem Chourey, Etan Pressman, Allen Hartwell, and Kenneth J. Boote. Molecular Identification and Characterization of Heat-Stress-Responsive Microgametogenesis Genes in Tomato and Sorghum - A Feasibility Study. United States Department of Agriculture, October 2007. http://dx.doi.org/10.32747/2007.7591741.bard.
Full textLee, Jusang, John E. Haddock, Dario D. Batioja Alvarez, and Reyhaneh Rahbar Rastegar. Quality Control and Quality Assurance of Asphalt Mixtures Using Laboratory Rutting and Cracking Tests. Purdue University, 2019. http://dx.doi.org/10.5703/1288284317087.
Full textHedrick, Ronald, and Herve Bercovier. Characterization and Control of KHV, A New Herpes Viral Pathogen of Koi and Common Carp. United States Department of Agriculture, January 2004. http://dx.doi.org/10.32747/2004.7695871.bard.
Full textAltstein, Miriam, and Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, August 2013. http://dx.doi.org/10.32747/2013.7593398.bard.
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