Готові списки джерел за темами / Sensitivity of optimum control

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Добірка наукової літератури з теми "Sensitivity of optimum control"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 липня 2025

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Статті в журналах з теми "Sensitivity of optimum control"

1

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 (1993): 187–95. http://dx.doi.org/10.1016/0168-874x(93)90019-m.

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2

Jalili, Nader, and Nejat Olgac. "A Sensitivity Study on Optimum Delayed Feedback Vibration Absorber." Journal of Dynamic Systems, Measurement, and Control 122, no. 2 (1998): 314–21. http://dx.doi.org/10.1115/1.482457.

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A sensitivity analysis is presented for a novel tuned vibration absorber. The active tuning of the absorber is achieved using partial state feedback with a controlled time delay. The final structure, which is named Delayed Feedback Vibration Absorber (DFVA), is optimized to yield minimum Mpeak of the primary system involved for a given wide band of excitation frequencies. The optimization is performed over the absorber’s structural properties and the feedback control parameters. An optimal tuning over optimally designed passive absorber is conducted first, and separately a collective optimizat
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3

Craven, B. D. "Optimal control on an infinite domain." ANZIAM Journal 47, no. 2 (2005): 143–53. http://dx.doi.org/10.1017/s1446181100009950.

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AbstractFor an optimal control problem with an infinite time horizon, assuming various terminal state conditions (or none), terminal conditions for the costate are obtained when the state and costate tend to limits with a suitable convergence rate. Under similar hypotheses, the sensitivity of the optimum to small perturbations is analysed, and in particular the stability of the optimum when the infinite horizon is truncated to a large finite horizon. An infinite horizon version of Pontryagin's principle is also obtained. The results apply to various economic models.
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4

KAJIWARA, 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.

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5

Ohsaki, M., and Tsuneyoshi Nakamura. "Optimum design with imperfection sensitivity coefficients for limit point loads." Structural Optimization 8, no. 2-3 (1994): 131–37. http://dx.doi.org/10.1007/bf01743310.

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6

Xue, 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 (2002): 619–42. http://dx.doi.org/10.1177/1077546029287.

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Анотація:
A detailed optimal parametric study is performed for a tuned liquid column damper (TLCD) in suppressing the pitching vibration of structures. Due to the difficulty of finding analytical solutions for the damped structure, a numerical optimization approach is proposed and applied to the system to find the optimum TLCD parameters. The variations of the optimum control parameter with system parameters are determined and discussed. Using various numerical searching data, a set of practical design formulas for the optimum tuning ratio and optimum head loss coefficient of the TLCD are then derived t
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7

Kajiwara, I., and A. Nagamatsu. "Optimum Design of Optical Pick-Up by Elimination of Resonance Peaks." Journal of Vibration and Acoustics 115, no. 4 (1993): 377–83. http://dx.doi.org/10.1115/1.2930360.

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A method for structural dynamic optimization is proposed using sensitivity analysis of resonance and anti-resonance frequencies. The sensitivity of the anti-resonance frequency is newly defined. An approach for eliminating the resonance peak from the frequency response function (FRF) is proposed using this sensitivity, modifying both the frequencies of this resonance and the neighboring anti-resonance bottom to the same value. The proposed method is applied to determine the optimum thickness of a plate in order to eliminate resonance peaks from its FRF. Effectiveness of this method is verified
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8

Lisowski, Józef. "Sensitivity of transport object control quality for measuring the inaccuracy of state variables." Journal of Automation, Electronics and Electrical Engineering 6, no. 1 (2024): 19–30. http://dx.doi.org/10.24136/jeee.2024.002.

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This work analyzes the sensitivity functions and optimum control of a transport and logistics process model. It explains the fundamental model of controlling safe ship movement as a differential game, and optimizing control algorithms through multi-matrix game and multi-stage positioning game. The sensitivity features for controlling safe ship in actual collision scenario are described in relation to inaccurate information of process position and variations in its varables, based on the determination of computer simulation algorithms in Matlab/Simulink software.
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9

Moita, 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.

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Анотація:
A design and control sensitivity analysis and multicriteria optimization formulation is derived for flexible mechanical systems. This formulation is implemented in an optimum design code and it is applied to the nonlinear dynamic response. By extending the spatial domain to the space-time domain and treating the design variables as control variables that do not change with time, the design space is included in the control space. Thus, one can unify in one single formulation the problems of optimum design and optimal control. Structural dimensions as well as lumped damping and stiffness paramet
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Busch, Florian A., and Rowan F. Sage. "The sensitivity of photosynthesis to O2and CO2concentration identifies strong Rubisco control above the thermal optimum." New Phytologist 213, no. 3 (2016): 1036–51. http://dx.doi.org/10.1111/nph.14258.

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Дисертації з теми "Sensitivity of optimum control"

1

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.

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Анотація:
Cette thèse est divisée en deux parties. Dans la première partie, nous étudions des problèmes de contrôle optimal déterministes avec contraintes et nous nous intéressons à des questions d'analyse de sensibilité. Le point de vue que nous adoptons est celui de l'optimisation abstraite; les conditions d'optimalité nécessaires et suffisantes du second ordre jouent alors un rôle crucial et sont également étudiées en tant que telles. Dans cette thèse, nous nous intéressons à des solutions fortes. De façon générale, nous employons ce terme générique pour désigner des contrôles localement optimaux pou
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2

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.

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3

Scarinci, Teresa. "Sensitivity Relations and Regularity of Solutions of HJB Equations arising in Optimal Control." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066573.

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Анотація:
Dans cette thèse nous étudions une classe d’équations de Hamilton-Jacobi-Bellman provenant de la théorie du contrôle optimal des équations différentielles ordinaires. Nous nous intéressons principalement à l’analyse de la sensibilité de la fonction valeur des problèmes de contrôle optimal associés à de telles équations de H-J-B. Dans la littérature, les relations de sensibilité fournissent une “mesure” de la robustesse des stratégies optimales par rapport aux variations de la variable d’état. Ces résultats sont des outils très importants pour le contrôle appliqué, parce qu’ils permettent d’étu
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4

SCARINCI, TERESA. "Sensitivity relations and regularity of solutions of HJB equations arising in optimal control." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2015. http://hdl.handle.net/2108/201971.

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Анотація:
Dans cette thèse nous étudions une classe d’équations de Hamilton-Jacobi-Bellman provenant de la théorie du contrôle optimal des équations différentielles ordinaires. Nous nous intéressons principalement à l’analyse de la sensibilité de la fonction valeur des problèmes de contrôle optimal associés à de telles équations de H-J-B. Dans la littérature, les relations de sensibilité fournissent une “mesure” de la robustesse des stratégies optimales par rapport aux variations de la variable d’état. Ces résultats sont des outils très importants pour le contrôle appliqué, parce qu’ils permettent d’étud
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5

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.

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6

Park, Sungho. "Development and Applications of Finite Elements in Time Domain." Diss., Virginia Tech, 1996. http://hdl.handle.net/10919/30693.

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Анотація:
A bilinear formulation is used for developing the time finite element method (TFM) to obtain transient responses of both linear, nonlinear, damped and undamped systems. Also the formulation, used in the h-, p- and hp-versions, is extended and found to be readily amenable to multi-degree-of-freedom systems. The resulting linear and nonlinear algebraic equations for the transient response are differentiated to obtain the sensitivity of the response with respect to various design parameters. The present developments were tested on a series of linear and nonlinear examples and were found to yield,
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7

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.

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Анотація:
Диссертация на соискание ученой степени кандидата технических наук по специальности 05.13. 03 - системы и процессы управления. - Национальный технический университет "Харьковский политехнический институт", Харьков, 2015. Диссертация посвящена разработке и совершенствованию метода синтеза нечеткого регулятора, который обеспечивает заданное качество управления сушкой капиллярно-пористых материалов в конвекционной сушилке периодического действия и позволяет создавать системы управления, опирающиеся на экспертные знания. В диссертационной работе усовершенствован метод анализа чувствительности опт
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8

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.

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An existing mathematical model of ordinary differential equations was studied to better understand the interactions between hepatitis C virus (HCV) and the immune system cells in the human body. Three possible qualitative scenarios were explored: dominant CTL response, dominant antibody response, and coexistence. Additionally, a sensitivity analysis was carried out to rank model parameters for each of these scenarios. Therapy was addressed as an optimal control problem. Numerical solutions of optimal controls were computed using a forward-backward sweep scheme for each scenario. Model paramete
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Євсіна, 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.

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Анотація:
Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13. 03 – системи та процеси управління. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2015. Дисертацію присвячено розробці та вдосконаленню методу синтезу нечіткого регулятора, який забезпечує задану якість управління сушінням капілярно – пористих матеріалів в конвекційній сушарці періодичної дії та дозволяє створювати системи управління, що спираються на експертні знання. Удосконалено метод аналізу чутливості оптимального управління в лінійній системі при квадратичному к
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Al-Saedi, Waleed Abood Baddai. "Optimal Control of Power Quality in Microgrids Using Particle Swarm Optimisation." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/611.

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Driven by environmental protection, economic factors, conservation of energy resources, and technical challenges, the microgrid has emerged as an innovative small-scale power generation network. Microgrids consist of a cluster of Distributed Generation units that encompass a portion of an electric power distribution system and may rely on different energy sources. Functionally, the microgrid is required to provide adequate levels and quality of power to meet load demands. The issue of power quality is significant as it directly affects the characteristics of the microgrid’s operation. This pro
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Книги з теми "Sensitivity of optimum control"

1

Choi, Kyung K. Shape design sensitivity analysis and optimal design of structural systems. National Aeronautics and Space Administration, 1987.

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2

Skelton, Robert E. Sensitivity, optimal scaling, and minimum roundoff errors in flexible structure models: Progress report. Purdue University, School of Aeronautics and Astronautics, 1987.

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3

Halyo, Nesim. Investigation, development, and application of optimal output feedback theory: Volume IV : Measures of eigenvalue/eigenvector sensitivity to system parameters and unmodeled dynamics. Langley Research Center, 1987.

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4

Reed, D. W. Optimum control of pump operations. Institute of Hydrology, 1993.

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5

Midkhatovich, I͡U︡supov Rafaėlʹ, ed. Sensitivity of automatic control systems. CRC Press, 2000.

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6

Center, Langley Research, ed. Optimum suction distribution for transition control. National Aeronautics and Space Administration, Langley Research Center, 1996.

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7

Center, Langley Research, ed. Optimum suction distribution for transition control. National Aeronautics and Space Administration, Langley Research Center, 1996.

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8

Lust, Robert. Control augmented structural synthesis. Langley Research Center, 1988.

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9

Curtain, Ruth F., ed. Modelling, Robustness and Sensitivity Reduction in Control Systems. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8.

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10

NATO Advanced Research Workshop on Modelling, Robustness, and Sensitivity Reduction in Control Systems (1986 Groningen, Netherlands). Modelling, robustness, and sensitivity reduction in control systems. Springer-Verlag, 1987.

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Частини книг з теми "Sensitivity of optimum control"

1

Weinmann, Alexander. "Optimal Control and Performance Sensitivity." In Uncertain Models and Robust Control. Springer Vienna, 1991. http://dx.doi.org/10.1007/978-3-7091-6711-3_9.

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2

García, 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. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31963-4_9.

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3

Rentrop, Peter, Sven-Olaf Stoll, and Utz Weyer. "Sensitivity Calculations for 2D-Optimization of Turbomachine Blading." In Optimal Control of Complex Structures. Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8148-7_17.

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4

Caillau, Jean-Baptiste, and Joseph Noailles. "Continuous Optimal Control Sensitivity Analysis with AD." In Automatic Differentiation of Algorithms. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0075-5_11.

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5

Szefer, G. "Sensitivity and Optimal Control in Contact Mechanics." In Multifield Problems. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04015-7_24.

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Newman, Perry A. "Preparation of Advanced CFD Codes for use in Sensitivity Analyses and Multidisiplinary Design Optimization." In Optimal Design and Control. Birkhäuser Boston, 1995. http://dx.doi.org/10.1007/978-1-4612-0839-6_16.

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7

Young, N. J. "Super-optimal Hankel norm approximations." In Modelling, Robustness and Sensitivity Reduction in Control Systems. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8_3.

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8

Kiehl, Martin. "Sensitivity Analysis of Stiff and Non-Stiff Initial-Value Problems." In Variational Calculus, Optimal Control and Applications. Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8802-8_15.

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9

Zames, George, Allen Tannenbaum, and Cyprian Foias. "Optimal H ∞-Interpolation: A New Approach." In Modelling, Robustness and Sensitivity Reduction in Control Systems. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8_22.

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Safonov, Michael G. "Imaginary-Axis Zeros in Multivariable H∞-Optimal Control." In Modelling, Robustness and Sensitivity Reduction in Control Systems. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8_5.

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Тези доповідей конференцій з теми "Sensitivity of optimum control"

1

Ji, Xinzhe, Xinwei Shen, and Renshen Tan. "Sensitivity Analysis on Optimal Preventive Maintenance Policies for the Electrical Control System of Offshore Wind Turbine." In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2024. https://doi.org/10.1109/ei264398.2024.10990685.

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2

Chen, Jing, Xinyu Wei, Tao Zhang, Yuan Liu, Yi Ma, and Gaomin Bian. "Advanced Methodology for Optimal Allocation of Reactive Voltage Control Utilizing Sensitivity Matrix Analysis and Distance Evaluation Metrics." In 2024 IEEE 7th Student Conference on Electric Machines and Systems (SCEMS). IEEE, 2024. http://dx.doi.org/10.1109/scems63294.2024.10756302.

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3

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.

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4

Araujo, 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.

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Erdal, 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.

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6

Kajiwara, 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.

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Анотація:
Abstract An approach is proposed for simultaneous optimum design of a structure and feedback control system by sensitivity analysis for the following two purposes. One is to decrease both the response and the control force of the system under a white noise disturbance force. The other is to modify the gain, the pole and the zero-point to the desirable values. The weighting constant of the feedback control system, and mass, stiffness, shape, dimension, etc. of the structure are adopted simultaneously as the design variables. The proposed method is verified by a model simulation.
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Qin, 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.

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With a rigid pipe for the vertical free standing portion and a flexible pipe for the near surface dynamic motion region, Free Standing Hybrid Riser (FSHR) has been widely accepted within the offshore oil and gas industry, especially in the field of West of Africa, Gulf of Mexico and field of Brazil. So the optimum design of FSHR system is becoming increasingly meaningful and necessary. This paper mainly presents the parametric sensitivity analysis and optimization of deepwater Free Standing Hybrid Riser (FSHR). First of all, a general description about FSHR system is given in the introduction.
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8

Kajiwara, 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.

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Abstract An approach for integrated optimum design of structure and control system is presented based on modal analysis. This approach consists of two process, namely the process by sensitivity analysis using optimal regulator theory and the process by the complex method in which a control system is composed of a small-order output feedback. In both processes, the design variables of the structural and the control parameters are optimized simultaneously in order to minimize the response due to disturbances of both white noise and colored noise. The integrated optimum design is performed by min
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Shikoska, 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.

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Bani 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.

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Feedback control is a powerful methodology for handling model and parameter uncertainty in real-world applications. Given a useful nominal plant model for developing the control approach, it is well-known that optimal solutions only perform well for a limited range of model and parameter uncertainty. A higher-order optimal nonlinear feedback control strategy is presented where the feedback control is augmented with feedback gain sensitivity partial derivatives for handling model uncertainties. The computational differentiation (CD) toolbox is used for automatically generating higher-order part
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Звіти організацій з теми "Sensitivity of optimum control"

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Audsley, Neil, Gonzalo Avila, Claudio Ioratti, et al. The potato psyllid, Bactericera cockerelli (Å ulc). Euphresco, 2023. http://dx.doi.org/10.1079/20240228448.

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Bactericera cockerelli, a psyllid, is a major agricultural pest affecting potatoes, tomatoes and other crops through feeding damage and transmission of the bacterial pathogen Liberibacter solanacearum, which causes zebra chip disease. This pest, originating from the Western USA, Mexico and Central America, poses a threat in its native regions and in New Zealand where it has been introduced. Given the current distribution, B. cockerelli could establish itself in Southern and Central Europe and areas with mild winters in Northern Europe. Tamarixia triozae, a parasitoid wasp, has shown promise as
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Sancar, Selcuk, and Foster Stulen. L51501 Field Verification of Optimum Transducer Design Criteria for Acoustic Emission Monitoring. Pipeline Research Council International, Inc. (PRCI), 1986. http://dx.doi.org/10.55274/r0011429.

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This work acquired and analyzed simulated acoustic emissions waveforms from pipelines in three series of field tests. The purposes of the analyses were to verify the accuracy of an analytical model of acoustic emission propagation in pipelines to determine transducer design/selection criteria, and to further evaluate the sensitivity of the verification system. Two sets of tests were performed on a bare and a coated 70-ft. long section of pipe. The third test was performed in conjunction with a hydrotest of a new line being installed near Clay City, Kentucky.
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Falco, R. E. Sensitivity to Turbulent Boundary Layer Production Mechanisms to Turbulence Control. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada250210.

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Li, Yanfei, Piljae Im, Yeobeom Yoon, and Yeonjin Bae. Preliminary Sensitivity Analysis for Sensors Impacts on Building Control Performance. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1894202.

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Suzuki, Kunihiko, Taizou Miyazaki, Mamoru Nemoto, and Kenichi Machida. Optimum Control of Spark Ignition Timing in a Gasoline Engine Using Model-Based Methodology. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0512.

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Serakos, Demetrios. PHALANX CIWS Control System Stability, Aim Bias Compensation, and Noise- Sensitivity. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada264733.

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Young, Yan. A Preliminary Study of Sensitivity Analysis and its Applications to Structural Control Problems. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada363042.

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Barakat, David J., Samuel R. Denmeade, and Alan D. Friedman. Regulating Prostate Cancer Sensitivity to Chemotherapy through Translational Control of CCAAT Enhancer Binding Proteins. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada621015.

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Regalbuto, 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), 1992. http://dx.doi.org/10.2172/10177602.

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Steele, Dale W., Eduardo L. Caputo, Ghid Kanaan, et al. Diagnosis and Management of Obsessive Compulsive Disorders in Children. Agency for Healthcare Research and Quality (AHRQ), 2024. https://doi.org/10.23970/ahrqepccer276.

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Background. Obsessive compulsive disorder (OCD) is a common, chronic, and impairing psychiatric disorder that often begins in childhood or adolescence. Early identification and treatment of OCD is important to prevent a cascade of developmental disruptions lasting into adulthood. The 2012 American Academy of Child and Adolescent Psychiatry (AACAP) Practice Parameter recommends cognitive behavioral therapy that incorporates exposure and response prevention (ERP) as a first-line treatment for mild-to-moderate OCD in youth and recommends combined treatment with ERP (if feasible) and a selective s
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