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

By: Heij, Christiaan [author.].
Contributor(s): Ran, Andr� [author.1 ] | [author.2 ].
Material type: materialTypeLabelBookBasel : Birkh�user Basel, 2007. Description: IX, 166 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783764375492.Subject(s): Mathematics. 0 | Applied mathematics. 0 | Engineering mathematics. 0 | System theory. 0 | Computer mathematics. 0 | Probabilities.14 | Mathematics.24 | Systems Theory, Control.24 | Applications of Mathematics.24 | Probability Theory and Stochastic Processes.24 | Computational Science and Engineering.1DDC classification: 519
Contents:
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.
Summary: 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. 0
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Item type Current location Call number Status Date due Barcode Item holds
PK Kelkar Library, IIT Kanpur
Available EBKS0009363
Total holds: 0

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. 0

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