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A Unified Algebraic Approach To Control Design de Robert E. Skelton

A Unified Algebraic Approach To Control Design: Series in Systems and Control

Autor Robert E. Skelton, T. Iwasaki, Dimitri E. Grigoriadis
en Limba Engleză Hardback – 17 oct 1997
This text deals with the most fundamental deficiency of modern theory control: the lack of an easily applicable method for the design of low order controllers. It shows that solutions to many different problems in control all reduce to the same linear algebra problem. It employs matrix equalities and matrix inequalities in the solutions of fixed order control and also provides computational algorithms.
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Specificații

ISBN-13: 9780748405923
ISBN-10: 0748405925
Pagini: 304
Ilustrații: 1
Dimensiuni: 174 x 246 x 22 mm
Greutate: 0.72 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Series in Systems and Control

Locul publicării:Boca Raton, United States

Public țintă

Professional

Cuprins

1. Introduction 2. Linear Algebra Review 3. Analysis of First-order Information 4. Second-order Information in Linear Systems 5. Covariance Controllers 6.Covariance Upper Boundary Controllers 7. H-Controllers 8. Model Reduction 9. Unified Perspective 10. Projection Methods 11. Successive Centring Methods 12. A: Linear Algebra Basics 13. B: Calculus of Vectors and Matrices 14. C: Balanced Model Reduction

Descriere

There are many books on linear systems and control, many of them taking a specific tool or method as the focus of learning and understanding them. Indeed, many of the tools and methods adopted have their own mature and stable literature. This book provides a unifying framework in which to view and apply an understanding of the many challenges of linear systems design, namely linear systems algebra.
The authors develop their description of linear systems algebra in the context of some familiar debates in the systems and control field: frequency domain versus state space methods; deterministic versus stochastic methods; control versus signal processing; modelling versus control design; scalar versus multiobjective methods; performance versus stability; and choosing a design space. Throughout the emphasis remains on how the linear systems algebra approach can be used to look at large numbers of classical and modern control problems.