Libros sobre el tema "Control variables"

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1

M, DeRusso Paul y DeRusso Paul M, eds. State variables for engineers. 2a ed. New York: Wiley, 1998.

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2

DeRusso, Paul M. State variables for engineers. Malabar, Fla: Krieger, 1990.

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3

Lin, Chaung. Self-tuning of design variables for generalized predictive control. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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4

Tagaras, George. Economic acceptance sampling by variables with quadratic quality costs. Fontainebleau: INSEAD, 1992.

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5

Heckman, James J. Using matching, instrumental variables and control functions to estimate economic choice models. Cambridge, MA: National Bureau of Economic Research, 2003.

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6

Frölich, Markus. A note on parametric and nonparametric regression in the presence of endogenous control variables. Bonn, Germany: IZA, 2006.

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7

Mburano, Rwenge. Determinants de la fécondité des mariages selon le milieu d'habitat au Benin: Examen par les variables intermédiaires. [Yaoundé, Cameroon]: Institut de formation et de recherche démographiques, 1994.

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8

Singh, M. Effect of processing variables on the microstructure and mechanical properties of microporous carbon materials. [Washington, DC: National Aeronautics and Space Administration, 1996.

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9

Kim, Kyoo il. Revisiting instrumental variables and the classic control function approach, with implications for parametric and non-parametric regressions. Cambridge, MA: National Bureau of Economic Research, 2011.

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10

Rumrrill, Róger. Narcotráfico y violencia política en la Amazonía Peruana: Dos nuevas variables en la vieja historia de la selva alta y baja del Perú. [Lima?: s.n., 1986.

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11

C, Oliveira Mauricio, Putinar Mihai 1955- y SpringerLink (Online service), eds. Mathematical Methods in Systems, Optimization, and Control: Festschrift in Honor of J. William Helton. Basel: Springer Basel, 2012.

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12

Plc, Control Techniques Drives y Institution of Electrical Engineers, eds. The Control Techniques drives and controls handbook. Stevenage: Institution of Electrical Engineers, 2001.

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13

I, Zinober A. S., ed. Variable structure and Lyapunov control. London: Springer-Verlag, 1994.

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14

Zinober, Alan S. I., ed. Variable Structure and Lyapunov Control. London: Springer-Verlag, 1994. http://dx.doi.org/10.1007/bfb0033675.

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15

1936-, Krasnoshchekov Anatolij D., ed. Control of variable structure networks. New York: Optimization Software, Publications Division, 1987.

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16

Agranovskiĭ, M. L. (Mark Lʹvovich), ed. Complex analysis and dynamical systems IV: May 18-22, 2009, Nahariya, Israel. Providence, R.I: American Mathematical Society, 2011.

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17

service), SpringerLink (Online, ed. Introduction to Piecewise Differentiable Equations. New York, NY: Springer New York, 2012.

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18

Yan, Xing-Gang, Sarah K. Spurgeon y Christopher Edwards. Variable Structure Control of Complex Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48962-9.

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19

1943-, Sano Akira y Atherton Derek P, eds. State variable methods in automatic control. Chichester [England]: Wiley, 1988.

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20

Baram, Yoram. Estimation and classification by sigmoids based on mutual information. [Washington, D.C: National Aeronautics and Space Administration, 1994.

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21

Emelʹi͡anov, Stanislav Vasilʹevich. Variable-structure control systems: Discrete and digital. Moscow: Mir Publishers, 1995.

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22

Steinberger, Martin, Martin Horn y Leonid Fridman, eds. Variable-Structure Systems and Sliding-Mode Control. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36621-6.

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23

Clarke, D. N. Rent reviews and variable rents. London: Longman, 1986.

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24

1952-, Garofalo Franco y Glielmo Luigi 1960-, eds. Robust control via variable structure and Lyapunov techniques. London: Springer, 1996.

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25

Asif, Sabanovic, Fridman Leonid, Spurgeon Sarah K y Institution of Electrical Engineers, eds. Variable structure systems: From principles to implementation. London: Institution of Electrical Engineers, 2004.

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26

Halyo, Nesim. A variable-gain output feedback control design methodology. Hampton, Va: Langley Research Center, 1989.

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27

Garofalo, Franco y Luigi Glielmo, eds. Robust Control via Variable Structure and Lyapunov Techniques. London: Springer-Verlag, 1996. http://dx.doi.org/10.1007/bfb0027557.

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28

Young, K. D. y Ü. Özgüner, eds. Variable structure systems, sliding mode and nonlinear control. London: Springer London, 1999. http://dx.doi.org/10.1007/bfb0109967.

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29

Ebihara, Yoshio, Dimitri Peaucelle y Denis Arzelier. S-Variable Approach to LMI-Based Robust Control. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6606-1.

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30

Edwards, Christopher, Enric Fossas Colet y Leonid Fridman, eds. Advances in Variable Structure and Sliding Mode Control. Berlin/Heidelberg: Springer-Verlag, 2006. http://dx.doi.org/10.1007/11612735.

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31

Milman, Ruth. Adaptive backstepping control of the variable reluctance motor. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

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32

Quantum Continuous Variables: Quantum Entanglement, Communication and Control. Taylor & Francis Group, 2017.

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33

Roy, Rob J., Alan A. Desrochers, Charles M. Close y Paul M. DeRusso. State Variables for Engineers. Wiley & Sons, Incorporated, John, 2008.

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34

Jer-Nan, Juang y Langley Research Center, eds. Self-tuning of design variables for generalized predictive control. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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35

Jer-Nan, Juang y Langley Research Center, eds. Self-tuning of design variables for generalized predictive control. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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36

Jer-Nan, Juang y Langley Research Center, eds. Self-tuning of design variables for generalized predictive control. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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37

Amiri, Iraj Sadegh. Note on Inheritance and Generalizability Properties in Optimal Control Problems. Nova Science Publishers, Incorporated, 2016.

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38

1934-, Jameson Antony y Research Institute for Advanced Computer Science (U.S.), eds. A comparison of design variables for control theory based airfoil optimization. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1995.

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39

Lei, Yuan. Ventilator Control Parameters. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198784975.003.0009.

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‘Ventilator Control Parameters’ looks at the individual ventilator settings, which are largely used to quantitatively define the properties of mechanical breaths. Following on from the previous discussion of essential variables, this chapter describes their implementation in the form of controls. This chapter begins by discussing the confusing and non-standardized terminology used for control parameters, providing a list of controls used on major ventilators. Common controls include rate, pressure and flow triggers, inspiratory time, I:E ratio, peak flow, flow cycle, tidal volume, pressure control or pressure support, PEEP, FiO2, rise time, flow pattern, and specific controls for biphasic modes. The chapter includes normal values and uses of the controls.
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40

Lei, Yuan. Essential Variables and Breath Types. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198784975.003.0007.

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‘Essential Variables and Breath Types’ describes the eight types of mechanical breath in terms of their five essential variables: triggering, cycling, controlling, targeting, and baseline pressure. This chapter begins with detailed descriptions of these variables, including their definitions, mechanisms, and options. It ends by defining the eight mechanical breath types as different combinations of these variables. The author describes how these variables are used to define such breath types as volume control or pressure support. The author incorporates into the discussion abnormalities of each of these variables.
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41

Gasparyan, Oleg. Linear and Nonlinear Multivariable Feedback Control: A Classical Approach. Wiley & Sons, Limited, John, 2008.

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42

Gasparyan, Oleg. Linear and Nonlinear Multivariable Feedback Control: A Classical Approach. Wiley, 2008.

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43

Chen, Ben M. Theory of loop transfer recovery for multivariable linear systems. 1991.

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44

Azar, Ahmad Taher y Nashwa Ahmad Kamal. Handbook of Research on Modeling, Analysis, and Control of Complex Systems. IGI Global, 2020.

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45

Azar, Ahmad Taher y Nashwa Ahmad Kamal. Handbook of Research on Modeling, Analysis, and Control of Complex Systems. IGI Global, 2020.

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46

Azar, Ahmad Taher y Nashwa Ahmad Kamal. Handbook of Research on Modeling, Analysis, and Control of Complex Systems. IGI Global, 2020.

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47

A, Awe Cynthia y Ames Research Center, eds. The selective use of functional optical variables in the control of forward speed. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1994.

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48

A, Awe Cynthia y Ames Research Center, eds. The selective use of functional optical variables in the control of forward speed. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1994.

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49

Sawin, Kathleen J. THE IMPACT OF THE HEALTH BELIEF MODEL, DESIRE FOR CONTROL, PERCEIVED CONTROL, AND MODIFYING VARIABLES ON YOUNG WOMEN'S CONTRACEPTIVE USE. 1987.

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50

United States. Federal Highway Administration. y University of Michigan. Transportation Research Institute., eds. Influence of size and weight variables on the stability and control properties of heavy trucks. McLean, Va: U.S. Dept. of Transportation, Federal Highway Administration, 1986.

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