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Books on the topic 'System Linearization'

Author: Grafiati
Published: 28 June 2021
Last updated: 14 February 2022

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1

Shoikhet, David, and Mark Elin. Linearization Models for Complex Dynamical Systems. Basel: Birkhäuser Basel, 2010. http://dx.doi.org/10.1007/978-3-0346-0509-0.

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2

Socha, Leslaw. Linearization Methods for Stochastic Dynamic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72997-6.

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3

-H, Steeb W., ed. Nonlinear dynamical systems and Carleman linearization. Singapore: World Scientific, 1991.

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4

Pshenichnyj, Boris N. The Linearization Method for Constrained Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994.

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5

Minhas, Rajinderjeet Singh. Adaptive feedback linearization of systems with non-lipschitz nonlinearities. Ottawa: National Library of Canada, 1996.

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6

Dzielski, John Edward. A feedback linearization approach to spacecraft control using momentum exchange devices. Cambridge, Mass: The Charles Stark Draper Laboratory, 1988.

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7

El-Khatib, Ziad. Distributed CMOS bidirectional amplifiers: Broadbanding and linearization techniques. New York: Springer, 2012.

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8

Graham, Ronald E. Linearization of digital derived rate algorithm for use in linear stability analysis. [Washington, DC?]: National Aeronautics and Space Administration, 1985.

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9

Kirchgraber, Urs. Geometry in the neighborhood of invariant manifolds of maps and flows and linearization. Harlow, Essex, England: Longman Scientific & Technical, 1990.

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10

Kirchgraber, U. Geometry in the neighborhood of invariant manifolds of maps and flows and linearization. Harlow: Longman Scientific & Technical, 1990.

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11

Babeshko, Lyudmila, Mihail Bich, and Irina Orlova. Econometrics and econometric modeling. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1141216.

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The textbook covers a wide range of issues related to econometric modeling. Regression models are the core of econometric modeling, so the issues of their evaluation, testing of assumptions, adjustment and verification are given a significant place. Various aspects of multiple regression models are included: multicollinearity, dummy variables, and lag structure of variables. Methods of linearization and estimation of nonlinear models are considered. An apparatus for evaluating systems of simultaneous and apparently unrelated equations is presented. Attention is paid to time series models. Detailed solutions of the examples in Excel and the R software environment are included. Meets the requirements of the federal state educational standards of higher education of the latest generation. For undergraduate and graduate students studying in the field of "Economics", the curriculum of which includes the disciplines "Econometrics"," Econometric Modeling","Econometric research".
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12

Milnor, John W. Dynamical systems (1984-2012). Edited by Bonifant Araceli 1963-. Providence, Rhode Island: American Mathematical Society, 2014.

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13

Linearization Models For Complex Dynamical Systems Topics In Univalent Functions Functional Equations And Semigroup Theory. Birkhauser, 2010.

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14

United States. National Aeronautics and Space Administration., ed. Multivariable control of the space shuttle remote manipulator system using linearization by state feedback. [Washington, DC: National Aeronautics and Space Administration, 1993.

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15

Linearization Methods for Stochastic Dynamic Systems. Springer, 2008.

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16

Socha, Leslaw. Linearization Methods for Stochastic Dynamic Systems. Springer, 2010.

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17

G, Meyer, Su R, and Ames Research Center, eds. Approximating linearizations for nonlinear systems. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1986.

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18

The Linearization Method for Constrained Optimization. Springer, 2011.

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19

Zimmermann, Eva. The theory of Prosodically Defective Morphemes. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198747321.003.0002.

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In this chapter, the theoretical background for the theory of PDM is presented. PDM is based on the simple insight that if all possible Prosodically Defective Morpheme representations and their potential effects on the phonological structure are taken into account, instances of length-manipulating non-concatenative morphology and length-manipulating morpheme-specific phonology are predicted. The chapter presents the concrete theoretical background assumptions for the proposed theory of PDM: It is an optimality-theoretic system based on containment for phonological primitives and association lines. New theoretical assumptions are made about the linearization of morphemes that in particular implement a severe restriction on the ordering possibilities of morphemic prosodic nodes. This theory correctly predicts that MLM operations can only affect a restricted set of base positions. As an independent argument for containment theory, the issue of opacity problems in the domain of MLM and the solution containment offers are discussed.
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20

W, Porada Theodore, and United States. National Aeronautics and Space Administration., eds. Linearization of digital derived rate algorithm for use in linear stability analysis. [Washington, DC?]: National Aeronautics and Space Administration, 1985.

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21

R, Su, and United States. National Aeronautics and Space Administration, eds. Approximations of nonlinear systems having outputs. [Washington, DC: National Aeronautics and Space Administration, 1985.

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22

Approximations of nonlinear systems having outputs. [Washington, DC: National Aeronautics and Space Administration, 1985.

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23

Institute for Computer Applications in Science and Engineering., ed. A control problem for Burger's equation with bounded input/output. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1990.

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24

Shoikhet, David, and Mark Elin. Linearization Models for Complex Dynamical Systems: Topics in Univalent Functions, Functional Equations and Semigroup Theory. Springer, 2011.

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25

Clemens, Lauren, and Diane Massam, eds. Polynesian Syntax and its Interfaces. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198860839.001.0001.

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This volume presents research in theoretical syntax and its interfaces with semantics and prosody within the Polynesian language family, with chapters focusing on Hawaiian, Māori, Niuean, Samoan, and Tongan. It includes in-depth analyses of issues within particular languages, as well as chapters that take a comparative-Polynesian approach. Theoretical issues addressed include ergativity and case systems, word order variations, modality and superlatives, causativization, negation, resumption and linearization, raising, the Extended Projection Principle (EPP), and the left periphery of both the sentential and nominal domains. The volume showcases the theoretical typology of Polynesian languages with their varying case systems, word orders, and isolating particle-based morphology.
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