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Introduction to mathematical systems...

Heij, Christiaan.

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Introduction to mathematical systems theory = discrete time linear systems, control and identification /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to mathematical systems theory/ by Christiaan Heij, Andre C.M. Ran, Frederik van Schagen.
其他題名:	discrete time linear systems, control and identification /
作者:	Heij, Christiaan.
其他作者:	Ran, Andre C. M.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	ix, 195 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Linear systems - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-030-59654-5
ISBN:	9783030596545

Introduction to mathematical systems theory = discrete time linear systems, control and identification /
Heij, Christiaan.

Introduction to mathematical systems theorydiscrete 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

Standard No.: 10.1007/978-3-030-59654-5doiSubjects--Topical Terms:

712332
Linear systems
--Mathematical models.

LC Class. No.: QA402 / .H45 2021

Dewey Class. No.: 003.74

Introduction to mathematical systems theory = discrete time linear systems, control and identification /
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505 0 $a 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.
520 $a 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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