Fr. 64.00

Introduction to Mathematical Systems Theory - Discrete Time Linear Systems, Control and Identification

Englisch · Taschenbuch

Versand in der Regel in 6 bis 7 Wochen

Beschreibung

Mehr lesen

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 is now available on the Springer Link's book website.

Inhaltsverzeichnis

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.

Über den Autor / die Autorin

Christiaan Heij is assistant professor at the Erasmus University in Rotterdam
André C. M. Ran is full professor at the Vrije Universiteit Amsterdam
Freek van Schagen is visiting fellow at the Vrije Universiteit Amsterdam

Zusammenfassung

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 is now available on the Springer Link's book website.

Zusatztext

“The book is very interesting for, as well older years students and, as well, for researchers, who want to have a compendium in control of dynamical systems. … The book is very well writen, contains a lot of examples, which help its understanding and may also be of the great value for the users.” (Krzysztof Gałkowski, zbMATH 1461.93001, 2021)

Bericht

"The book is very interesting for, as well older years students and, as well, for researchers, who want to have a compendium in control of dynamical systems. ... The book is very well writen, contains a lot of examples, which help its understanding and may also be of the great value for the users." (Krzysztof Galkowski, zbMATH 1461.93001, 2021)

Kundenrezensionen

Zu diesem Artikel wurden noch keine Rezensionen verfasst. Schreibe die erste Bewertung und sei anderen Benutzern bei der Kaufentscheidung behilflich.

Schreibe eine Rezension

Top oder Flop? Schreibe deine eigene Rezension.

Für Mitteilungen an CeDe.ch kannst du das Kontaktformular benutzen.

Die mit * markierten Eingabefelder müssen zwingend ausgefüllt werden.

Mit dem Absenden dieses Formulars erklärst du dich mit unseren Datenschutzbestimmungen einverstanden.