Libros sobre el tema "Non-linear Control"

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1

Laurent, Praly, Marino Riccardo y Kanellakopoulos Ioannis, eds. Adaptive non-linear control. Chichester: John Wiley, 1992.

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2

Romeo, Ortega y Kelly Rafael, eds. Non-linear and adaptive robot control. Chichester: Wiley, 1990.

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3

Systems & control: An introduction to linear, sampled & non-linear systems. Singapore: World Scientific, 1995.

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4

Fantoni, Isabelle y Rogelio Lozano. Non-linear Control for Underactuated Mechanical Systems. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0177-2.

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5

Hall, Stephen. Optimal control of stochastic non-linear models. London: Bank of England, 1988.

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6

R, Lozano, ed. Adaptive control, non-linear systems and robotics. Chichester: John Wiley, 1996.

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7

Linear systems: Non-fragile control and filtering. Boca Raton, FL: CRC Press, 2013.

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8

Fantoni, Isabelle. Non-linear Control for Underactuated Mechanical Systems. London: Springer London, 2002.

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9

United States. National Aeronautics and Space Administration., ed. Non-linear unsteady wing theory. [Washington, DC: National Aeronautics and Space Administration, 1987.

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10

United States. National Aeronautics and Space Administration., ed. Non-linear unsteady wing theory. [Washington, DC: National Aeronautics and Space Administration, 1987.

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11

J, Shaker Francis, Fertis Demeter G y Lewis Research Center, eds. Dynamic analysis of space-related linear and non-linear structures. Cleveland, Ohio: NASA Lewis Research Facility, 1990.

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12

J, Shaker Francis, Fertis Demeter G y Lewis Research Center, eds. Dynamic analysis of space-related linear and non-linear structures. Cleveland, Ohio: NASA Lewis Research Facility, 1990.

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13

Castillo, Oscar y Patricia Melin. Soft Computing for Control of Non-Linear Dynamical Systems. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1832-1.

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14

Castillo, Oscar. Soft Computing for Control of Non-Linear Dynamical Systems. Heidelberg: Physica-Verlag HD, 2001.

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15

1948-, Vandewalle J. y Moor, Bart L. R. de, 1960-, eds. Artificial neural networks for modelling and control of non-linear systems. Boston: Kluwer Academic Publishers, 1996.

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16

Witczak, Marcin. Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03014-2.

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17

Suykens, Johan A. K., Joos P. L. Vandewalle y Bart L. R. De Moor. Artificial Neural Networks for Modelling and Control of Non-Linear Systems. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2493-6.

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18

Suykens, Johan A. K. Artificial Neural Networks for Modelling and Control of Non-Linear Systems. Boston, MA: Springer US, 1996.

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19

Arimoto, Suguru. Control theory of non-linear mechanical systems: A passivity-based and circuit-theoretic approach. Oxford: Clarendon Press, 1996.

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20

Bruno, Michael. Inflation, growth and monetary control: Non-linear lessons from crisis and recovery. Roma: Edizioni dell'elefante, 1995.

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21

Dror, Shahar. Identification and control of non-linear time-varying dynamical systems using artificial neural networks. Monterey, Calif: Naval Postgraduate School, 1992.

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22

Vikram, Kapila y Grigoriadis Karolos M, eds. Actuator saturation control. New York: M. Dekker, 2002.

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23

Uvarova, Ludmila A., Arkadii E. Arinstein y Anatolii V. Latyshev, eds. Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4799-0.

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24

Uvarova, L. A. Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media. Boston, MA: Springer US, 1999.

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25

Chung, W. W. A direct application of the non-linear inverse transformation flight control system design on a STOVL aircraft. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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26

Cottle, Dean J. Mine avoidance and localization for underwater vehicles using continuous curvature path generation and non-linear tracking control. Monterey, Calif: Naval Postgraduate School, 1993.

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27

E, McNeill W., Stortz Michael W y Ames Research Center, eds. A direct application of the non-linear inverse transformation flight control system design on a STOVL aircraft. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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28

1959-, Castillo Oscar, ed. Modelling, simulation and control of non-linear dynamical systems: An intelligent approach using soft computing and fractal theory. London: Taylor & Francis, 2002.

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29

Neural network control of nonliner discrete-time systems and industrial process. Boca Raton, FL: Taylor & Francis, 2006.

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30

Adamy, Jürgen. Non-Linear Systems and Control. Springer Berlin / Heidelberg, 2022.

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31

Bianconi, Ginestra. Synchronization, Non-linear Dynamics and Control. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0015.

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Resumen
This chapter is entirely devoted to characterizing non-linear dynamics on multilayer networks. Special attention is given to recent results on the stability of synchronization that extend the Master Stability Function approach to the multilayer networks scenario. Discontinous synchronization transitions on multiplex networks recently reported in the literature are also discussed, and their application discussed in the context of brain networks. This chapter also presents an overview of the major results regarding pattern formation in multilayer networks, and the proposed characterization of multivariate time series using multiplex visibility graphs. Finally, the chapter discusses several approaches for multiplex network control where the dynamical state of a multiplex network needs to be controlled by eternal signals placed on replica nodes satisfying some structural constraints.
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32

Yang, Guang-Hong, Wei Guan, Xiang-Gui Guo y Wei-Wei Che. Linear Systems: Non-Fragile Control and Filtering. Taylor & Francis Group, 2017.

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33

Yang, Guang-Hong, Wei Guan, Xiang-Gui Guo y Wei-Wei Che. Linear Systems: Non-Fragile Control and Filtering. Taylor & Francis Group, 2017.

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34

Non-linear control based on physical models. London: Springer London, 2001. http://dx.doi.org/10.1007/bfb0110339.

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35

Yang, Guang-Hong. Linear Systems: Non-Fragile Control and Filtering. Taylor & Francis Group, 2013.

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36

Yang, Guang-Hong, Wei Guan, Xiang-Gui Guo y Wei-Wei Che. Linear Systems: Non-Fragile Control and Filtering. Taylor & Francis Group, 2017.

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37

Yang, Guang-Hong, Wei Guan, Xiang-Gui Guo y Wei-Wei Che. Linear Systems: Non-Fragile Control and Filtering. Taylor & Francis Group, 2017.

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38

Cannon, Mark y Basil Kouvaritakis. Non-Linear Predictive Control: Theory and Practice. Institution of Engineering & Technology, 2011.

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39

Dong, Hongli, Zidong Wang y Nan Hou. Networked Non-Linear Stochastic Time-varying Systems. Taylor & Francis Group, 2021.

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40

(Editor), Basil Kouvaritakis y Mark Cannon (Editor), eds. Non-Linear Predictive Control: Theory & Practice (Iee Control Series, 61). Institution Electrical Engineers, 2001.

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41

Melin, Patricia y Oscar Castillo. Modeling, Simulation & Control of Non-linear Dynamical Systems. Gordon & Breach Publishing Group, 2001.

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42

Li, Hong. Non-linear control approaches for active railway suspensions. 1997.

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43

Non-linear Control for Underactuated Mechanical Systems (Communications and Control Engineering). Springer, 2001.

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44

Adaptive control: Applications to non-linear systems and robotics. Chichester: John Wiley, 1993.

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45

Abdulrahman, Adel Abdulgalil Hazaa. A non-linear process control algorithm and its application. 2002.

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46

Electronic Engine Controls 2002: Engine Control, Neural Networks and Non-Linear Systems. Society of Automotive Engineers Inc, 2002.

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47

Dong, Hongli, Zidong Wang y Nan Hou. Networked Non-Linear Stochastic Time-Varying Systems: Analysis and Synthesis. Taylor & Francis Group, 2021.

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48

Dong, Hongli, Zidong Wang y Nan Hou. Networked Non-Linear Stochastic Time-Varying Systems: Analysis and Synthesis. Taylor & Francis Group, 2021.

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49

Lewis, F. W., S. Jagannathan y A. Yesildirak. Neural Network Control of Robot Manipulators and Non-Linear Systems. Taylor & Francis Group, 2020.

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50

Guay, DeHaan y Adetola. Robust and Adaptive Model Predictive Control of Non-linear Systems. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/pbce083e.

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