Introduction to Mathematical Systems Theory
Christiaan Heij
Sold by Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
AbeBooks Seller since 17 November 2008
Used - Soft cover
Condition: Used - Fine
Quantity: 1 available
Add to basketSold by Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
AbeBooks Seller since 17 November 2008
Condition: Used - Fine
Quantity: 1 available
Add to basketGebraucht - Sehr gut Leichte Lagerspuren -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. 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. 166 pp. Englisch.
Seller Inventory # INF1001399782
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. 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 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.
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