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1

Conte, Giuseppe, Claude H. Moog, and Anna Maria Perdon. Algebraic Methods for Nonlinear Control Systems. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-595-0.

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2

Won, Chang-Hee, Cheryl B. Schrader, and Anthony N. Michel, eds. Advances in Statistical Control, Algebraic Systems Theory, and Dynamic Systems Characteristics. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4795-7.

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3

Sira-Ramírez, Hebertt, Carlos García-Rodríguez, John Cortés-Romero, and Alberto Luviano-Juárez. Algebraic Identification and Estimation Methods in Feedback Control Systems. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118730591.

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4

Wong, Kai Cheung. An algebraic description of hierarchial control in discrete-event systems. Ottawa: National Library of Canada, 1990.

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5

Gündes, A. N. Algebraic theory oflinear feedback systems with full and decentralized compensators. Berlin: Springer-Verlag, 1990.

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6

A, Desoer Charles, ed. Algebraic theory of linear feedback systems with full and decentralized compensators. Berlin: Springer-Verlag, 1990.

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7

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

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8

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

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9

Ilchmann, Achim. Surveys in Differential-Algebraic Equations I. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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10

Prodromos, Daoutidis, ed. Control of nonlinear differential algebraic equation systems: With applications to chemical processes. Boca Raton: Chapman & Hall/CRC, 1999.

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11

Nwulu, Nnamdi, and Saheed Lekan Gbadamosi. Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-00395-1.

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12

Tetsuya, Iwasaki, and Grigoriadis Karlos M, eds. A unified algebraic approach to linear control design. London: Taylor & Francis, 1998.

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13

Gilliam, D. S. (David S.), 1946-, ed. A practical guide to geometric regulation for distributed parameter systems. Boca Raton: CRC Press, Taylor & Francis Group, 2016.

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14

Analog and digital control system design: Transfer-function, state-space, and algebraic methods. Fort Worth: Saunders College Pub., 1993.

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15

Chen, Chi-Tsong. Analog and digital control system design: Transfer-function, state-space, and algebraic methods. Fort Worth: Saunders College Pub, 1992.

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16

C, Oliveira Mauricio, Putinar Mihai 1955-, and 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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17

1945-, Sommer Gerald, and Koenderink Jan J, eds. Algebraic frames for the perception-action cycle: International workshop, AFPAC '97, Kiel, Germany, September 8-9, 1997 : proceedings. Berlin: Springer, 1997.

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18

Jacob, Gérard. Algebraic Computing in Control: Proceedings of the First European Conference Paris, March 13-15, 1991. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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19

Chen, Chi-Tsong. Control system design: Conventional, algebraic, and optimal methods. Stony Brook, NY: Pond Woods Press, 1987.

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20

Jirstrand, Mats. Algebraic methods for modeling and design in control. Linköping, Sweden: Dept. of Electrical Engineering, Linköping University, 1996.

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21

Seslavin, Andrey. Theory of automatic control. Linear, continuous systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1014654.

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The textbook presents the basics of the classical theory of automatic control, based on mathematical models of real systems, given in the form of systems of linear differential equations with constant coefficients. Methods based on Laplace and Fourier transforms, stability, controllability, and observability theory, as well as directed graph theory and linear algebra are used. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying in the areas of training and specialties 15.00.00 "Mechanical Engineering", 27.00.00 "Management in technical systems".
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22

Soler, Enrique J. Bernabeu. Diseño algebráico de controladores discretos: Problemas resueltos. Valencia]: Universidad Politécnica de Valencia, Servicio de Publicaciones, 1999.

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23

Dooren, Paul Van. Numerical Linear Algebra in Signals, Systems and Control. Dordrecht: Springer Science+Business Media B.V., 2011.

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24

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

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25

der, Veen Alle-Jan van, ed. Time-varying systems and computations. Boston: Kluwer Academic Publishers, 1998.

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26

P, Banks Stephen. On the optimal control of bilinear systems and its relation to Lie algebras. Sheffield: University, Dept. of Control Engineering, 1985.

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27

Willem, Polderman Jan, ed. Adaptive systems: An introduction. Boston: Birkhäuser, 1996.

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28

Nath, Datta Biswa, and SIAM Activity Group on Linear Algebra., eds. Linear algebra in signals, systems, and control: Proceedings of the Conference on Linear Algebra in Signals, Systems, and Control, Boston, Massachusetts, August 12-14, 1986. Philadelphia: SIAM, 1988.

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29

Zaslavski, Alexander J., Simeon Reich, and B. Sh Mordukhovich. Nonlinear analysis and optimization: Workshop on Nonlinear Analysis and Optimization, June 12, 2014, Technion--Israel Institute of Technology, Haifa, Israel : IMU/AMS Special Session on Nonlinear Analysis and Optimization, June 16-19, 2014, Bar-Ilan University and Tel-Aviv Universities, Ramat-Gan and Tel-Aviv, Israel. Providence, Rhode Island: American Mathematical Society, 2016.

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30

author, Ding Yongsheng 1967, ed. Ji qi ren ji he dai shu mo xing yu kong zhi. Beijing: Ke xue chu ban she, 2011.

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31

Wolfgang, Kliemann, ed. Dynamical systems and linear algebra. Providence, Rhode Island: American Mathematical Society, 2014.

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32

author, Tkachev Vladimir 1963, and Vlăduț, S. G. (Serge G.), 1954- author, eds. Nonlinear elliptic equations and nonassociative algebras. Providence, Rhode Island: American Mathematical Society, 2014.

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33

Chung, Lawrence. Non-Functional Requirements in Software Engineering. Boston, MA: Springer US, 2000.

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34

A, Kaashoek M., Lancaster Peter, Langer Heinz, Lerer Leonid, and SpringerLink (Online service), eds. A Panorama of Modern Operator Theory and Related Topics: The Israel Gohberg Memorial Volume. Basel: Springer Basel, 2012.

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35

ProvSec, 2008 (2008 Shanghai China). Provable security: Second international conference, ProvSec 2008, Shanghai, China, October 30 - November 1, 2008 : proceedings. New York: Springer, 2008.

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36

Joonsang, Baek, ed. Provable security: Second international conference, ProvSec 2008, Shanghai, China, October 30 - November 1, 2008 : proceedings. New York: Springer, 2008.

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37

ProvSec 2008 (2008 Shanghai, China). Provable security: Second international conference, ProvSec 2008, Shanghai, China, October 30 - November 1, 2008 : proceedings. New York: Springer, 2008.

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38

Information security theory and practice. smart devices, pervasive systems, and ubiquitous networks: Third IFIP WG 11.2 international workshop, WISTP 2009 Brussels, Belgium, September 1-4, 2009 : proceedings. Berlin: Springer, 2009.

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39

Fonseca, Carlos M. da. A panorama of mathematics: Pure and applied : Conference on Mathematics and Its Applications, November 14-17, 2014, Kuwait University, Safat, Kuwait. Providence, Rhode Island: American Mathematical Society, 2016.

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40

Hyperbolic partial differential equations and geometric optics. Providence, R.I: American Mathematical Society, 2012.

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41

Moog, Claude H., Anna Maria Perdon, and Giuseppe Conte. Algebraic Methods for Nonlinear Control Systems. Springer, 2010.

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42

Algebraic Methods for Nonlinear Control Systems (Communications and Control Engineering). 2nd ed. Springer, 2006.

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43

Sira-Ramírez, Hebertt, Carlos García Rodríguez, John Cortés Romero, and Alberto Luviano Juárez. Algebraic Identification and Estimation Methods in Feedback Control Systems. Wiley, 2014.

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44

H, Effertz F., and United States. National Aeronautics and Space Administration., eds. The algebraic criteria for the stability of control systems. Washington, D.C: National Aeronautics and Space Administration, 1986.

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45

Falb, Peter. Methods of Algebraic Geometry in Control Theory: Multivariable Linear Systems and Projective Algebraic Geometry Part II. Birkhäuser Boston, 2000.

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46

Perdon, A. M., G. Conte, and C. H. Moog. Nonlinear Control Systems: An Algebraic Setting (Lecture Notes in Control and Information Sciences). Springer, 1999.

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47

Falb, Peter. Methods of Algebraic Geometry in Control Theory : Part II: Multivariable Linear Systems and Projective Algebraic Geometry. Birkhäuser, 2018.

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48

Methods of Algebraic Geometry in Control Theory : Part II: Multivariable Linear Systems and Projective Algebraic Geometry. Birkhäuser, 2011.

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49

Falb, Peter. Methods of Algebraic Geometry in Control Theory : Part I: Scalar Linear Systems and Affine Algebraic Geometry. Birkhäuser, 2018.

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50

Ilchmann, Achim, and Timo Reis. Surveys in Differential-Algebraic Equations I. Springer, 2013.

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