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Books on the topic 'Sensitivity of optimum control'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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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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11

1953-, Saltelli A., ed. Global sensitivity analysis: The primer. John Wiley, 2008.

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12

Gwendolyn, Johnson-Acsadi, IPPF Programme Committee., and World Fertility Survey, eds. Optimum conditions for childbearing. International Planned Parenthood Federation, 1986.

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13

L, Blevins Terrence, and ISA--The Instrumentation, Systems, and Automation Society., eds. Advanced control unleashed: Plant performance management for optimum benefit. Instrumentation, Systems, and Automation Society, 2003.

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14

Robertson, A. Vector control of induction motors: Sensitivity to parameter variations. UMIST, 1994.

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15

Rothenberg, Jeff. A " propagative" approach to sensitivity analysis. Rand Corporation, 1990.

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16

GmbH, Viscodrive, ed. Visco-control units and Visco-differentials: Safer driving optimum traction. Viscodrive, 1986.

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17

S, Poh, and United States. National Aeronautics and Space Administration., eds. Optimum vibration control of flexible beams by piezo-electric actuators. Mechanical Engineering Dept., The Catholic University of America, 1987.

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18

Center, Langley Research, ed. Results of an integrated structure/control law design sensitivity analysis. National Aeronautics and Space Administration, Langley Research Center, 1989.

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19

James, Paduano, Downing David R, and Dryden Flight Research Facility, eds. Development of a sensitivity analysis technique for multiloop flight control. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1986.

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20

Laporte, Emmanuel. Numerical Methods in Sensitivity Analysis and Shape Optimization. Birkhäuser Boston, 2003.

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21

1962-, Bloebaum Christina L., Hajela Prabhat 1956-, and Langley Research Center, eds. Sensitivity of control-augmented structure obtained by a system decomposition method. National Aeronautics and Space Administration, Langley Research Center, 1988.

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22

L, Bloebaum Christina, Hajela Prabhat 1956-, and Langley Research Center, eds. Sensitivity of control-augmented structure obtained by a system decomposition method. National Aeronautics and Space Administration, Langley Research Center, 1988.

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23

Paduano, James D. Application of a sensitivity analysis technique to high-order digtital flight control systems. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1987.

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24

JFCC International Workshop on Fine Ceramics '98 (1998 Nagoya, Japan). Ceramic material systems with composite structures: Towards optimum interface control and design. American Ceramic Society, 1998.

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25

United States. National Aeronautics and Space Administration., ed. Decentralized control of large-scale systems: Fixed modes, sensitivity and parametric robustness. National Aeronautics and Space Administration, 1987.

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26

J, Hallman Guy, and Denlinger David L, eds. Temperature sensitivity in insects and application in integrated pest management. Westview Press, 1998.

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27

K, Kapania Rakesh, and Langley Research Center, eds. Shape sensitivity analysis of flutter response of a laminated wing. National Aeronautics and Space Administration, Langley Research Center, 1988.

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28

Fleissner, Günther. Efferent control of visual sensitivity in arthropod eyes: With emphasis on circadian rhythms. G. Fischer Verlag, 1988.

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29

Jan, Sokołowski. Zagadnienia analizy wrażliwości i optymalizacji parametrycznej w zadaniach sterowania optymalnego układów o parametrach rozłożonych. Wydawnictwa Politechniki Warszawskiej, 1985.

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30

Kleiber, Michał. Parameter sensitivity in nonlinear mechanics: Theory and finite element computations. John Wiley, 1997.

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31

Westbrook, George. The happiness sensitivity principle: A training program for creation and control of happy feelings. West Publications, 1985.

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32

Bina, Bardia. Wing anti-icing system control modelling and sensitivity analysis: A system identification based approach. University of Toronto, Institute for Aerospace Studies, 2003.

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33

Naumann, Uwe. The art of differentiating computer programs. Society for Industrial and Applied Mathematics, 2011.

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34

Fund, International Monetary, ed. Currency speculation and the optimum control of bank lending in Singapore dollar: A case for partial liberalization. International Monetary Fund, 1996.

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35

D, Amman Gene, and Intermountain Research Station (Ogden, Utah), eds. Optimum dosage of verbenone to reduce infestation of mountain pine beetle in lodgepole pine stands of central Idaho. U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1991.

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36

Turner, Natasha. The carb sensitivity program: Discover which carbs will curb your cravings, control your appetite and banish belly fat. Random House Canada, 2012.

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37

Stability and sensitivity analysis for optimal control problems with control-state constraints. Polska Akademia Nauk, Instytut Matematyczny, 2001.

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38

Rozenwasser, Efim, and Rafael Yusupov. Sensitivity of Automatic Control Systems. Taylor & Francis Group, 2019.

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39

Rozenwasser, Efim, and Rafael Yusupov. Sensitivity of Automatic Control Systems. Taylor & Francis Group, 2019.

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40

Rozenwasser, Efim, and Rafael Yusupov. Sensitivity of Automatic Control Systems. Taylor & Francis Group, 2019.

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41

Rozenwasser, Efim, and Rafael Yusupov. Sensitivity of Automatic Control Systems. Taylor & Francis Group, 2019.

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42

Optimum aerodynamic design via boundary control. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1994.

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43

Rozenwasser, Efim, and Rafael Yusupov. Sensitivity of Automatic Control Systems (Controls). CRC, 1999.

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44

Ustinov, Eugene A. Sensitivity Analysis in Remote Sensing. Springer, 2015.

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45

Ustinov, Eugene A. Sensitivity Analysis in Remote Sensing. Springer, 2015.

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46

Curtain, Ruth F. Modelling Robustness, Sensitivity Reduction in Control Systems. Springer, 1987.

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47

Curtain, Ruth F. Modelling, Robustness and Sensitivity Reduction in Control Systems. Springer London, Limited, 2013.

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48

Curtain, Ruth F. Modelling, Robustness and Sensitivity Reduction in Control Systems. Springer, 2012.

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49

Panteleev, Andrey, Dar'ya Skavinskaya, and Ekaterina Aleshina. Metaheuristic algorithms of search of optimum program control. Infra-M Academic Publishing House, 2016. http://dx.doi.org/10.12737/18293.

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50

Lovell, Melanie, and Frances Boyle. Communication strategies and skills for optimum pain control. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198736134.003.0038.

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Abstract:

Pain is a subjective experience and as such, communication regarding the experience is essential for the clinician to comprehensively assess and manage it. It is also the most feared complication of the most feared diagnosis. Effective communication creates an environment of trust, in which a patient is able to relate their experiences, in their entirety, including hopes and fears. This expression enables diagnosis of the aetiology, mechanism, and the myriad modulators of the pain by the clinician and is therapeutic in its own right as the patient makes meaning of the pain experience in the te

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