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Books on the topic 'Control/multivariable systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Bernar, D. Real time multivariable control systems. Manchester: UMIST, 1994.

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2

Lunze, Jan. Robust multivariable feedback control. New York: Prentice Hall, 1988.

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3

Bates, Declan. Robust multivariable control of aerospace systems. Delft: DUP Science, 2002.

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4

Distributed fuzzy control of multivariable systems. Dordrecht: Kluwer Academic Publishers, 1996.

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5

Doctor, Sala Antonio, ed. Multivariable control systems: An engineering approach. London: Springer, 2004.

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6

Gegov, Alexander. Distributed Fuzzy Control of Multivariable Systems. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8640-5.

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7

Gegov, Alexander. Distributed Fuzzy Control of Multivariable Systems. Dordrecht: Springer Netherlands, 1996.

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8

Linear control systems: Synthesis of multivariable systems and multidimensional systems. Taunton, Somerset, England: Research Studies Press, 1992.

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9

Chang, Michael. Adaptive control applied to unmodelled multivariable systems. Ottawa: National Library of Canada, 1993.

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10

Bongiorno, Joseph J., and Kiheon Park. Design of Linear Multivariable Feedback Control Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44356-6.

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11

Chang, Michael. Adaptive switching control applied to multivariable systems. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1997.

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12

Isermann, Rolf. Digital Control Systems: Volume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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13

Ian, Postlethwaite, ed. Multivariable feedback control: Analysis and design. Chichester: Wiley, 1996.

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14

Ian, Postlethwaite, ed. Multivariable feedback control: Analysis and design. 2nd ed. Hoboken, NJ: John Wiley, 2005.

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15

Elramlawy, Abdelbaset Abdelgaied. Multivariable flight control systems for agile combat aircraft. Salford: University of Salford, 1992.

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16

Tsay, Yih Tsong, Leang San Shieh, and Stephen Barnett, eds. Structural Analysis and Design of Multivariable Control Systems. Berlin/Heidelberg: Springer-Verlag, 1988. http://dx.doi.org/10.1007/bfb0042016.

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17

Sadaoui, Nasser. Computer-aided study of multivariable nonlinear control systems. Wolverhampton: University of Wolverhampton, 1994.

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18

Multivariable feedback design. Wokingham, England: Addison-Wesley, 1989.

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19

Van Landingham, Hugh F., 1935-, ed. Algorithms for computer-aided design of multivariable control systems. New York: M. Dekker, 1993.

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20

1951-, Looze D. P., ed. Frequency domain properties of scalar and multivariable feedback systems. Berlin: Springer-Verlag, 1988.

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21

Hartmann, Irmfried. Robust and insensitive design of multivariable feedback systems: Multimodel design. Braunschweig: Friedr. Vieweg, 1986.

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22

Tsay, Y. T. Structural analysis and design of multivariable control systems: An algebraic approach. Berlin: Springer-Verlag, 1988.

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23

Tsay, Yih Tsong. Structural Analysis and Design of Multivariable Control Systems: An Algebraic Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988.

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24

Chen, Robert T. N. R-parameterization and its role in classification of linear multivariable feedback systems. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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25

Chen, Robert T. N. R-parameterization and its role in classification of linear multivariable feedback systems. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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26

All-Union Conference on the Problems of Multivariable Control of Technological Processes (1991 Odessa, Ukraine). Preprints, All-Union Conference on the Problems of Multivariable Control of Technological Processes, Odessa, Ukraine, USSR, November 4-7, 1991. Odessa, Ukraine: [s.n.], 1991.

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27

All-Union, Conference on the Problems of Multivariable Control of Technological Processes (1991 Odessa Ukraine). Preprints, All-Union Conference on the Problems of Multivariable Control of Technological Processes, Odessa, Ukraine, USSR, November 4-7, 1991. Odessa, Ukraine: [s.n.], 1991.

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28

Damji, Sameer Hussein. Design of input signals for the identification and control of multivariable systems. Ottawa: National Library of Canada, 2003.

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29

Charles F. P. T. Arnoldi. A state space approach to minimum variance control of multivariable ARMAX systems. Ottawa: National Library of Canada, 1990.

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30

Fenghua, He, ed. Duo bian liang lu bang kong zhi xi tong: Multivariable robust control systems. Ha'erbin Shi: Ha'erbin gong ye da xue chu ban she, 2011.

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31

Pang, G. K. H. An expert systems approach to computer-aided design of multivariable systems. Berlin: Springer-Verlag, 1987.

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32

Litt, John. A method for exploiting redundancy to accommodate actuator limits in multivariable systems. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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33

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

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34

Institution of Engineering and Technology. Thermal Power Plant Simulation and Control. Stevenage: IET, 2003.

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35

Multivariable system identification for process control. Amsterdam: Pergamon, 2001.

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36

International, Symposium 'Application of Multivariable System Techniques' (5th 1994 University of Bradford). Application of multivariable system techniques (AMST 94). London: Mechanical Engineering Publications, 1994.

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37

International Symposium, 'Application of Multivariable System Techniques' (4th 1990 University of Bradford). Application of multivariable system techniques (AMST 90). London: Elsevier Applied Science, 1990.

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38

Reinschke, K. J. Multivariable control: A graph-theoretic approach. Berlin: Springer-Verlag, 1988.

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39

Reinschke, K. J. Multivariable Control: A graph-theoretic approach. Berlin: Akademie-Verlag, 1988.

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40

F, Yeung L., ed. Multivariable control system design techniques: Dominance and direct methods. Chichester: Wiley, 1996.

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41

service), SpringerLink (Online, ed. Mono- and Multivariable Control and Estimation: Linear, Quadratic and LMI Methods. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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42

Om, Prakash. Multivariable control of the space shuttle remote manipulator system using H2 and H[infinity] optimization. Cambridge, Mass: Draper Laboratory, 1991.

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43

1953-, Desch W., Kappel F, and Kunisch K. 1952-, eds. Control and estimation of distributed parameter systems: International conference in Maria Trost, Austria, July 15-21, 2001. Boston, MA: Birkhäuser, 2002.

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44

Kaspina, Roza, and Lyubov' Plotnikova. Accounting and taxation of foreign economic activities of organizations. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1018339.

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Abstract:

The tutorial contains practical examples of organization and conducting accounting and tax accounting of foreign economic activity and the examples that reveal the specifics of foreign exchange operations. Given a multivariate system of control of knowledge of students with answers and solution algorithm is a full set of the Fund of assessment tools for current and intermediate control. Used active learning methods in the form of colloquiums, business games, discussions and other interactive forms. Meets the requirements of Federal state educational standards of higher education of the last generation. Designed for students enrolled in our undergraduate and graduate students of economic universities. It can be useful to executives and managers of organizations, chief accountants and economists, auditors in their practical work, as presented in the textbook material allows to solve a dispute.

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45

Multivariable Control Systems. London: Springer-Verlag, 2004. http://dx.doi.org/10.1007/b97506.

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46

J, O'Reilly, ed. Multivariable control for industrial applications. London: Peter Peregrinus on behalf of the Institution of Electrical Engineers, 1987.

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47

Albertos, Pedro, and Sala Antonio. Multivariable Control Systems: An Engineering Approach. Springer, 2014.

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48

Gegov, Alexander. Distributed Fuzzy Control of Multivariable Systems. Springer, 2014.

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49

Isermann, Rolf. Digital Control Systems: Stochastic Control, Multivariable Control, Adaptive Control, Applications. Springer, 1991.

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50

1957-, Wang Qing-Guo, ed. PID control for multivariable processes. Berlin: Springer, 2008.

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