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Books on the topic 'Process control Dynamics Mathematical models'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Volgin, L. N. Optimalʹnoe diskretnoe upravlenie dinamicheskimi sistemami. "Nauka," Glav. red. fiziko-matematicheskoĭ lit-ry, 1986.

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2

W, Barnett Michael, Stenstrom Michael K, and Andrews John F, eds. Dynamics and control of wastewater systems. 2nd ed. Technomic Publishing Co., Inc., 1998.

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3

Pearson, Ronald K. Discrete-time dynamic models. Oxford University Press, 1999.

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4

Huang, Jen-Kuang. Indirect identification of linear stochastic systems with known feedback dynamics. National Aeronautics and Space Administration, 1997.

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5

Huang, Jen-Kuang. Indirect identification of linear stochastic systems with known feedback dynamics. National Aeronautics and Space Administration, 1997.

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6

Kecman, V. State-space models of lumped and distributed systems. Springer-Verlag, 1988.

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7

Denkena, Berend. Process Machine Interactions: Predicition and Manipulation of Interactions between Manufacturing Processes and Machine Tool Structures. Springer Berlin Heidelberg, 2013.

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8

Beyreuther, Roland. Dynamics of fibre formation and processing: Modelling and application in fibre and textile industry. Springer, 2007.

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9

Kolpakov, Vasiliy. Economic and mathematical and econometric modeling: Computer workshop. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/24417.

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The textbook presents mathematical research methods and models of economic objects and processes designed for the analysis and prediction of economic factors and develop control solutions as in the deterministic conditions, and in conditions of some uncertainty, and dynamics. Each Chapter of the book consists of a theoretical framework, discussed in detail several examples and tasks for independent work. As workbench simulation uses standard office the program Excel and Mathcad. Tutorial focused on independent performance of students individual tasks on disciplines "Economic-mathematical metho

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10

Rao, Vadrevu Sree Hari. Dynamic models and control of biological systems. Springer, 2009.

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11

Mikleš, Ján. Process modelling, identification, and control. Slovak Technical University Press, 2000.

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12

T͡Sirlin, A. M. Optimalʹnye t͡sikly i t͡siklicheskie rezhimy. Ėnergoatomizdat, 1985.

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13

Akunovich, S. I. Diskretnye sistemy ligicheskogo upravlenii︠a︡ tekhnologicheskikh mashin: Monografii︠a︡. I︠u︡nipak, 2006.

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14

Tarasov, V. A. Optimizat͡s︡ii͡a︡ proizvodstvennykh kompleksov s peremennymi parametrami. Ėnergoatomizdat, 1985.

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15

Tatjewski, Piotr. Hierarchiczne metody rozwiązywania niewypukłych zadań optymalizacji i sterowania stanem ustalonym złożonych procesów. Wydawnictwa Politechniki Warszawskiej, 1988.

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16

Raspopov, B. M. Matematicheskie modeli v zadachakh upravlenii͡a︡ tekhnologicheskimi prot͡s︡essami. Izd-vo "Ilim", 1988.

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17

Anita̧, Sebastian. Analysis and control of age-dependent population dynamics. Kluwer Academic Publishers, 2000.

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18

Aniţa, Sebastian. Analysis and Control of Age-Dependent Population Dynamics. Springer Netherlands, 2000.

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19

R, Leigh J., ed. Modelling and control of fermentation processes. P. Peregrinus, 1987.

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20

Koenig, David M. Control and analysis of noisy processes. Prentice Hall, 1991.

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21

Dindorf, Ryszard. Wybrane zagadnienia modelowania dynamiki układów hydraulicznych. Politechnika Krakowska im. Tadeusza Kościuszki, 1995.

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22

Zubov, I. V. Metody analiza dinamiki upravli︠a︡emykh sistem. Fizmatlit, 2003.

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23

Krivenko, V. A. Preobrazovanii͡a︡ optimizat͡s︡ionnykh modeleĭ v zadachakh upravlenii͡a︡ i proektirovanii͡a︡ ASU TP. "Ilim", 1989.

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24

Samantaray, Arun K. Model-based process supervision: A bond graph approach. Springer, 2008.

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25

Bill, Chu Bei-Tseng, and Chen Su-shing, eds. Intelligent modeling, diagnosis and control of manufacturing processes. World Scientific, 1992.

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26

Chow, Gregory C. Analysis and control of dynamic economic systems. R.E. Krieger, 1986.

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27

Vasilʹevich, Emelʹi͡a︡nov Stanislav, and Moskovskiĭ institut stali i splavov., eds. Voprosy teorii upravli͡a︡emykh sistem i ee primenenie v metallurgicheskom proizvodstve: Tematicheskiĭ sbornik nauchnykh trudov. "Metallurgii͡a︡", 1986.

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28

United States. National Aeronautics and Space Administration. Scientific and Technical Information Office., ed. A numerical study of transition control by periodic suction-blowing. National Aeronautics and Space Administration, Scientific and Technical Information Office, 1987.

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29

Ramirez, W. Fred. Computational methods for process simulation. 2nd ed. Butterworths, 1997.

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30

Pushkin, Kachroo, ed. Pedestrian dynamics: Feedback control of crowd evacuation. Springer, 2008.

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31

Zeleke, Gete. Landscape dynamics and soil erosion process modelling in the North-western Ethiopian highlands. University of Berne, Institute of Geography, 2000.

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32

A, Mili͡u︡tin A., and Afanasʹev A. P, eds. Optimizat͡s︡ii͡a︡ upravli͡a︡emykh dinamicheskikh sistem. Vses. nauchno-issl. in-t sistemnykh issledovaniĭ, 1990.

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33

A, Mili͡u︡tin A., та Afanasʹev A. P, ред. Optimalʹnostʹ upravli͡a︡emykh dinamicheskikh sistem. Vses. nauchno-issl. in-t sistemnykh issledovaniĭ, 1988.

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34

Luyben, William L. Process modelling, simulation and control for chemical engineers. McGraw, 1990.

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35

Deventer, Rainer. Modeling and control of static and dynamic systems with Bayesian networks. Logos, 2004.

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36

Ziganshin, G. Z. Teorii͡a︡ modelirovanii͡a︡ i upravlenii͡a︡ tekhnologicheskimi prot͡s︡essami: Razrabotka, issledovanie, primenenie. Kafedra inzhenernogo menedzhmenta Kazanskogo filiala MĖI, 1998.

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37

1936-, May Robert M., ed. Infectious diseases of humans: Dynamics and control. Oxford University Press, 1991.

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38

Özilgen, Mustafa. Food process modeling and control: Chemical engineering applications. Gordon and Breach Science Publishers, 1998.

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39

Özilgen, Mustafa. Food process modeling and control: Chemical engineering applications. Gordon and Breach Science Publishers, 1998.

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40

J, Bacon Philip, ed. Population dynamics of rabies in wildlife. Academic Press, 1985.

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41

Barnett, Michael W. Dynamics and Control of Wastewater Systems. Routledge, 1998.

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42

Ferrari, Matthew. Using disease dynamics and modeling to inform control strategies in low-income countries. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789833.003.0008.

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The incidence infectious disease is inherently dynamic in time and space. Mathematical models that account for the dynamic processes that give rise to fluctuations in disease incidence are powerful tools in disease management and control. We describe the use of dynamic models for surveillance, evaluation and prediction of disease control efforts in low-income countries. Dynamic models can help to anticipate trends owing to intrinsic (e.g., herd immunity) or extrinsic (e.g., seasonality) forces that may confound efforts to isolate the impact of specific interventions. Infectious disease dynamic

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43

Beyreuther, Roland, and Harald Brünig. Dynamics of Fibre Formation and Processing. Springer, 2006.

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44

Borisov, Andrey Valerievich, and Anatoly Vlasovich Chigarev. Mathematical Models of Exosceleton: Dynamics, Strength, Control. Springer International Publishing AG, 2022.

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45

Mathematical Models of Exoskeleton: Dynamics, Strength, Control. Springer International Publishing AG, 2023.

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46

System dynamics and control. PWS Publishing Company, 1999.

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47

Denkena, Berend, and Ferdinand Hollmann. Process Machine Interactions: Predicition and Manipulation of Interactions between Manufacturing Processes and Machine Tool Structures. Springer, 2012.

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48

Denkena, Berend, and Ferdinand Hollmann. Process Machine Interactions: Predicition and Manipulation of Interactions between Manufacturing Processes and Machine Tool Structures. Springer, 2014.

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49

Wang, Enrong. Advances in Dynamics, Instrumentation and Control. World Scientific Publishing Co Pte Ltd, 2004.

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50

Mikles, Ján, and Miroslav Fikar. Process Modelling, Identification, and Control. Springer, 2007.

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