Generalized Sylvester Equations: Unified Parametric Solutions
Provides One Unified Formula That Gives Solutions to Several Types of GSEs

Generalized Sylvester equations (GSEs) are applied in many fields, including applied mathematics, systems and control, and signal processing. Generalized Sylvester Equations: Unified Parametric Solutions presents a unified parametric approach for solving various types of GSEs.

In an extremely neat and elegant matrix form, the book provides a single unified parametric solution formula for all the types of GSEs, which further reduces to a specific clear vector form when the parameter matrix F in the equations is a Jordan matrix. Particularly, when the parameter matrix F is diagonal, the reduced vector form becomes extremely simple.

The first chapter introduces several types of GSEs and gives a brief overview of solutions to GSEs. The two subsequent chapters then show the importance of GSEs using four typical control design applications and discuss the F‐coprimeness of a pair of polynomial matrices. The next several chapters deal with parametric solutions to GSEs. The final two chapters present analytical solutions to normal Sylvester equations (NSEs), including the well‐known continuous‐ and discrete‐time Lyapunov equations. An appendix provides the proofs of some theorems.

The book can be used as a reference for graduate and senior undergraduate courses in applied mathematics and control systems analysis and design. It will also be useful to readers interested in research and applications based on Sylvester equations.

1133692682
Generalized Sylvester Equations: Unified Parametric Solutions
Provides One Unified Formula That Gives Solutions to Several Types of GSEs

Generalized Sylvester equations (GSEs) are applied in many fields, including applied mathematics, systems and control, and signal processing. Generalized Sylvester Equations: Unified Parametric Solutions presents a unified parametric approach for solving various types of GSEs.

In an extremely neat and elegant matrix form, the book provides a single unified parametric solution formula for all the types of GSEs, which further reduces to a specific clear vector form when the parameter matrix F in the equations is a Jordan matrix. Particularly, when the parameter matrix F is diagonal, the reduced vector form becomes extremely simple.

The first chapter introduces several types of GSEs and gives a brief overview of solutions to GSEs. The two subsequent chapters then show the importance of GSEs using four typical control design applications and discuss the F‐coprimeness of a pair of polynomial matrices. The next several chapters deal with parametric solutions to GSEs. The final two chapters present analytical solutions to normal Sylvester equations (NSEs), including the well‐known continuous‐ and discrete‐time Lyapunov equations. An appendix provides the proofs of some theorems.

The book can be used as a reference for graduate and senior undergraduate courses in applied mathematics and control systems analysis and design. It will also be useful to readers interested in research and applications based on Sylvester equations.

180.0 In Stock
Generalized Sylvester Equations: Unified Parametric Solutions

Generalized Sylvester Equations: Unified Parametric Solutions

by Guang-Ren Duan
Generalized Sylvester Equations: Unified Parametric Solutions

Generalized Sylvester Equations: Unified Parametric Solutions

by Guang-Ren Duan

Hardcover

$180.00 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

Provides One Unified Formula That Gives Solutions to Several Types of GSEs

Generalized Sylvester equations (GSEs) are applied in many fields, including applied mathematics, systems and control, and signal processing. Generalized Sylvester Equations: Unified Parametric Solutions presents a unified parametric approach for solving various types of GSEs.

In an extremely neat and elegant matrix form, the book provides a single unified parametric solution formula for all the types of GSEs, which further reduces to a specific clear vector form when the parameter matrix F in the equations is a Jordan matrix. Particularly, when the parameter matrix F is diagonal, the reduced vector form becomes extremely simple.

The first chapter introduces several types of GSEs and gives a brief overview of solutions to GSEs. The two subsequent chapters then show the importance of GSEs using four typical control design applications and discuss the F‐coprimeness of a pair of polynomial matrices. The next several chapters deal with parametric solutions to GSEs. The final two chapters present analytical solutions to normal Sylvester equations (NSEs), including the well‐known continuous‐ and discrete‐time Lyapunov equations. An appendix provides the proofs of some theorems.

The book can be used as a reference for graduate and senior undergraduate courses in applied mathematics and control systems analysis and design. It will also be useful to readers interested in research and applications based on Sylvester equations.


Product Details

ISBN-13: 9781482243963
Publisher: Taylor & Francis
Publication date: 06/12/2015
Pages: 466
Product dimensions: 6.20(w) x 9.20(h) x 1.20(d)

About the Author

Guang-Ren Duan is a professor and director of the Center for Control Theory and Guidance Technology at Harbin Institute of Technology. Dr. Duan is a fellow of the IET. His main research interests include robust control, eigenstructure assignment, descriptor systems, spacecraft control, and magnetic bearing control.

Table of Contents

Introduction. Application Highlights of GSEs. F-Coprimeness. Homogeneous GSEs. Nonhomogeneous GSEs. Fully Actuated GSEs. GSEs with Varying Coefficients. Rectangular NSEs. Square NSEs. Appendix. References. Index.

From the B&N Reads Blog

Customer Reviews