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Books on the topic 'Control theory'

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Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

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1

Leigh, J. R. Control Theory. 2nd ed. Stevenage: IET, 2004.

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2

Leigh, J. R. Control theory. 2nd ed. London: Institution of Electrical Engineers, 2004.

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3

Leigh, J. R. Applied control theory. 2nd ed. London: P. Peregrinus on behalf of the Institution of Electrical Engineers, 1987.

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4

Doyle, John Comstock. Feedback control theory. New York: Macmillan Pub. Co., 1992.

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5

Sethi, Suresh P. Optimal Control Theory. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91745-6.

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6

Baillieul, J., and J. C. Willems, eds. Mathematical Control Theory. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1416-8.

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7

Sontag, Eduardo D. Mathematical Control Theory. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-0577-7.

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8

Zabczyk, Jerzy. Mathematical Control Theory. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44778-6.

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9

Foias, Ciprian, Bruce Francis, J. William Helton, Huibert Kwakernaak, and J. Boyd Pearson. H∞-Control Theory. Edited by Edoardo Mosca and Luciano Pandolfi. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/bfb0084465.

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10

Zabczyk, Jerzy. Mathematical Control Theory. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4733-9.

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11

Sontag, Eduardo D. Mathematical Control Theory. New York, NY: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-0374-9.

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12

Sethi, Suresh P. Optimal Control Theory. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-98237-3.

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13

Frank, Steven A. Control Theory Tutorial. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91707-8.

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14

Liu, Shu-Tang, and Pei Wang. Fractal Control Theory. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7050-1.

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15

Francis, Bruce A., and Pramod P. Khargonekar, eds. Robust Control Theory. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4613-8451-9.

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16

Nisio, Makiko. Stochastic Control Theory. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55123-2.

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17

Ma, Zhongjing, and Suli Zou. Optimal Control Theory. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6292-5.

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18

Doyle, John Comstock. Feedback control theory. Mineola, N.Y: Dover, 2008.

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19

Brogan, William L. Modern control theory. 3rd ed. Englewood Cliffs, N.J: Prentice Hall, 1991.

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20

Doyle, John C. Feedback control theory. New York: Macmillan Publishing Co., 1992.

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21

Brogan, William L. Modern control theory. 2nd ed. Englewood Cliffs, N.J: Prentice-Hall, 1985.

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22

Jurdjevic, Velimir. Geometric control theory. Cambridge: Cambridge University Press, 1997.

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23

J, Berry Anthony, Broadbent Jane, and Otley David T, eds. Management control theory. Aldershot, Hants, England: Ashgate, 1998.

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24

A, Francis Bruce, and Khargonekar P, eds. Robust control theory. New York: Springer-Verlag, 1995.

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25

Brogan, William L. Modern control theory. 3rd ed. London: Prentice-Hall International, 1991.

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26

Baillieul, J. Mathematical Control Theory. New York, NY: Springer New York, 1999.

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27

Murrill, Paul W. Fundamentals of process control theory. 2nd ed. Research Triangle Park, N.C: Instrument Society of America, 1991.

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28

Jacobs, O. L. R. Introduction to control theory. 2nd ed. Oxford: Oxford University Press, 1993.

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29

Anderson, Patrick. Control systems: Classical controls. Delhi: Global Media, 2009.

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30

Gibbs, Jack P. A theory about control. Boulder: Westview Press, 1994.

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31

Knobloch, H. W. Topics in control theory. Basel: Birkhäuser Verlag, 1993.

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32

Hornstein, Norbert, and Maria Polinsky, eds. Movement Theory of Control. Amsterdam: John Benjamins Publishing Company, 2010. http://dx.doi.org/10.1075/la.154.

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33

Gopal, M. Modern control system theory. 2nd ed. New Delhi: New Age International, 1993.

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34

Pasik-Duncan, Bozenna, ed. Stochastic Theory and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-48022-6.

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35

Camlibel, M. Kanat, A. Agung Julius, Ramkrishna Pasumarthy, and Jacquelien M. A. Scherpen, eds. Mathematical Control Theory I. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20988-3.

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36

Glad, Torkel, and Lennart Ljung. Control Theory. CRC Press, 2018. http://dx.doi.org/10.1201/9781315274737.

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37

Basar, Tamer. Control Theory. IEEE, 2000. http://dx.doi.org/10.1109/9780470544334.

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38

Leigh, J. R. Control Theory. Institution of Engineering and Technology, 2004. http://dx.doi.org/10.1049/pbce064e.

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39

Control Theory. Routledge, 2002. http://dx.doi.org/10.4324/9780203484753.

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40

Ljung, Lennart, and Torkel Glad. Control Theory. Taylor & Francis Group, 2018.

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41

Ljung, Lennart, and Torkel Glad. Control Theory. Taylor & Francis Group, 2018.

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42

Ljung, Lennart, and Torkel Glad. Control Theory. Taylor & Francis Group, 2018.

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43

Ljung, Lennart, and Torkel Glad. Control Theory. Taylor & Francis Group, 2018.

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44

Glad, Torkel. Control Theory. Taylor & Francis Group, 2000.

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45

Baillieul, John B., J. C. Willems, and S. K. Mitter. Mathematical Control Theory. Springer, 2012.

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46

Prussing, John E. Optimal Control Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811084.003.0004.

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Abstract:
Optimal Control Theory is reviewed in detail. We consider a dynamic system that operates between a specified initial time and a final time which may be specified or unspecified. Necessary conditions for a minimum cost functional are derived. Terminal constraints are considered. Pontryagin Minimum Principle is discussed.
47

Leigh, J. R. Applied Control Theory. Institution of Engineering and Technology, 1987. http://dx.doi.org/10.1049/pbce018e.

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48

Hovakimyan, Naira, and Chengyu Cao. ℒ1Adaptive Control Theory. Society for Industrial and Applied Mathematics, 2010. http://dx.doi.org/10.1137/1.9780898719376.

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49

Hitlin, Steven, and Sarah K. Harkness. Affect Control Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190465407.003.0007.

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Abstract:
This chapter draws on the theoretical and methodological insights from Affect Control theory (ACT), a theory with decades of research and empirical support, to set up our cross-cultural analyses examing our theory of societal inequality. ACT is a formal mathematical theory used to examine how the various facets of social events (such as the identities and emotions) shape ongoing social action. ACT distills the representation of these various facets to their simplest, most universally recognized dimensions of meaning: evaluation (good vs. bad), potency (powerful vs. weak), and activity (fast vs. slow). ACT then provides a way of understanding and modeling social interactions so that it is possible to empirically compare the likely emotions resulting from the same types of interactions in various cultures. The chapter gives a broad overview of the theory so that the reader understands why it is useful and provides justification for the empirical analysis used in the book.
50

Wang, Pei, and Shu-Tang Liu. Fractal Control Theory. Springer, 2018.

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