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Introduction to mathematical systems...
~
Heij, Christiaan.
Introduction to mathematical systems theorydiscrete time linear systems, control and identification /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Introduction to mathematical systems theoryby Christiaan Heij, Andre C.M. Ran, Frederik van Schagen.
Reminder of title:
discrete time linear systems, control and identification /
Author:
Heij, Christiaan.
other author:
Ran, Andre C. M.
Published:
Cham :Springer International Publishing :2021.
Description:
ix, 195 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Linear systemsMathematical models.
Online resource:
https://doi.org/10.1007/978-3-030-59654-5
ISBN:
9783030596545$q(electronic bk.)
Introduction to mathematical systems theorydiscrete time linear systems, control and identification /
Heij, Christiaan.
Introduction to mathematical systems theory
discrete time linear systems, control and identification /[electronic resource] :by Christiaan Heij, Andre C.M. Ran, Frederik van Schagen. - Second edition. - Cham :Springer International Publishing :2021. - ix, 195 p. :ill., digital ;24 cm.
Preface -- Dynamical Systems -- Input-Output Systems -- State Space Models -- Stability -- Optimal Control -- Stochastic Systems -- Filtering and Prediction -- Stochastic Control -- System Identification -- Cycles and Trends -- Further Developments.
This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering. The focus is on discrete time systems, which are the most relevant in business applications, as opposed to continuous time systems, requiring less mathematical preliminaries. The subjects treated are among the central topics of deterministic linear system theory: controllability, observability, realization theory, stability and stabilization by feedback, LQ-optimal control theory. Kalman filtering and LQC-control of stochastic systems are also discussed, as are modeling, time series analysis and model specification, along with model validation. This second edition has been updated and slightly expanded. In addition, supplementary material containing the exercises are now available on the Springer Link's book website.
ISBN: 9783030596545$q(electronic bk.)
Standard No.: 10.1007/978-3-030-59654-5doiSubjects--Topical Terms:
243429
Linear systems
--Mathematical models.
LC Class. No.: QA402 / .H45 2021
Dewey Class. No.: 003.74
Introduction to mathematical systems theorydiscrete time linear systems, control and identification /
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Preface -- Dynamical Systems -- Input-Output Systems -- State Space Models -- Stability -- Optimal Control -- Stochastic Systems -- Filtering and Prediction -- Stochastic Control -- System Identification -- Cycles and Trends -- Further Developments.
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This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering. The focus is on discrete time systems, which are the most relevant in business applications, as opposed to continuous time systems, requiring less mathematical preliminaries. The subjects treated are among the central topics of deterministic linear system theory: controllability, observability, realization theory, stability and stabilization by feedback, LQ-optimal control theory. Kalman filtering and LQC-control of stochastic systems are also discussed, as are modeling, time series analysis and model specification, along with model validation. This second edition has been updated and slightly expanded. In addition, supplementary material containing the exercises are now available on the Springer Link's book website.
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1圖書
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EB QA402 .H465 2021 2021
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1 records • Pages 1 •
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https://doi.org/10.1007/978-3-030-59654-5
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