Introduction to Mathematical Systems Theory Linear Systems, Identification and Control /

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, re...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Heij, Christiaan (Autor), Ran, André C.M (Autor), van Schagen, F. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Basel : Birkhäuser Basel : Imprint: Birkhäuser, 2007.
Edición:1st ed. 2007.
Temas:
System theory.
Control theory.
Mathematics.
Probabilities.
Mathematics-Data processing.
Systems Theory, Control .
Applications of Mathematics.
Probability Theory.
Computational Science and Engineering.
Acceso en línea:Texto Completo

MARC

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100 1 |a Heij, Christiaan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Introduction to Mathematical Systems Theory  |h [electronic resource] :  |b Linear Systems, Identification and Control /  |c by Christiaan Heij, André C.M. Ran, F. van Schagen. 
250 |a 1st ed. 2007. 
264 1 |a Basel :  |b Birkhäuser Basel :  |b Imprint: Birkhäuser,  |c 2007. 
300 |a IX, 166 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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505 0 |a 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. 
650 0 |a System theory. 
650 0 |a Control theory. 
650 0 |a Mathematics. 
650 0 |a Probabilities. 
650 0 |a Mathematics-Data processing. 
650 1 4 |a Systems Theory, Control . 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Probability Theory. 
650 2 4 |a Computational Science and Engineering. 
700 1 |a Ran, André C.M.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a van Schagen, F.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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912 |a ZDB-2-SMA 
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950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713) 

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