Linear Stochastic Systems

Caines, Peter

ISBN 10: 0471081019 / ISBN 13: 9780471081012

Published by Wiley, New York, NY, 1988

About this Item

Sewn binding. Cloth over boards. 874 p. Wiley Series in Probability & Mathematical Statistics. Audience: General/trade. This text focuses on linear stochastic models, whose theoretical foundations are the most fully worked out and the most frequently applied area of systems and control theory. Presents a unified and mathematically rigorous exposition of the main results of the theory of linear discrete-time-parameter stochastic systems. Begins with a thorough examination of the fundamentals of stochastic processes and the construction of stochastic systems, and goes on to provide an integrated treatment of the theories of prediction, regulation, modeling and estimation of system dynamics (system identification), and control. Text concludes with a presentation of stochastic adaptive control theory. Coverage of all topics incorporates the most recent research in the field. Very good in very good dust jacket. whisper of shelfwear to the jacket, previous owner name inside cover.

Seller Inventory # Alibris.0028150

Bibliographic Details

• Title: Linear Stochastic Systems
• Publisher: Wiley, New York, NY
• Publication Date: 1988
• Language: English
• ISBN 10: 0471081019
• ISBN 13: 9780471081012
• Binding: Hard cover
• Dust Jacket Condition: Dust Jacket Included

About this title

Synopsis

This text focuses on linear stochastic models, whose theoretical foundations are the most fully worked out and the most frequently applied area of systems and control theory. Presents a unified and mathematically rigorous exposition of the main results of the theory of linear discrete-time-parameter stochastic systems. Begins with a thorough examination of the fundamentals of stochastic processes and the construction of stochastic systems, and goes on to provide an integrated treatment of the theories of prediction, regulation, modeling and estimation of system dynamics (system identification), and control. Text concludes with a presentation of stochastic adaptive control theory. Coverage of all topics incorporates the most recent research in the field.