Operator Approach to Linear Control Systems
Author:   A. Cheremensky ,  V.N. Fomin
Publisher:   Springer
Edition:   1996 ed.
Volume:   345
ISBN:  

9780792337652


Pages:   398
Publication Date:   31 May 1996
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Operator Approach to Linear Control Systems


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Overview

Within the framework of the optimization problem for linear control systems with quadratic performance index (LQP), the operator approach allows the construction of a systems theory including a number of particular infinite-dimensional optimization problems with hardly visible concreteness. This approach yields interesting interpretations of these problems and more effective feedback design methods. This book explores developing methods for solving a sufficiently general LQP. Although this is complex material, the theory developed here is built on transparent and relatively simple principles, and readers with less experience in the field of operator theory should find enough material to give them a good overview of the current state of LQP theory and its applications.

Full Product Details

Author:   A. Cheremensky ,  V.N. Fomin
Publisher:   Springer
Imprint:   Springer
Edition:   1996 ed.
Volume:   345
Dimensions:   Width: 16.00cm , Height: 2.30cm , Length: 24.00cm
Weight:   0.891kg
ISBN:  

9780792337652


ISBN 10:   0792337654
Pages:   398
Publication Date:   31 May 1996
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Operator Approach to Linear Control Systems.- to systems theory.- Resolution spaces.- Linear control plants in a resolution space.- Linear quadratic optimization in preplanned control class.- Linear quadratic optimization in feedback control class.- Finite-dimensional LQP.- Some computing methods in stationary finite-dimensional SLQPs.

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