| Computational Aspects of Linear Control 2002 Edition Contributor(s): Brezinski, Claude (Author) |
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ISBN: 1402007116 ISBN-13: 9781402007118 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: June 2002 Annotation: The main objective of this volume is to create a bridge between control theory and its numerical analysis aspects. It is unique because it presents both subjects in a single volume. The book combines an exposition of linear control theory and the corresponding modern relevant computational techniques such as orthogonal polynomials, Pade approximation, numerical linear algebra, and some topics on nonlinear differential equations. It can be considered as an introduction to control theory for numerical analysts looking for a wide area of applications and as an introduction to recent numerical methods for control specialists. Audience: Aimed at advanced students at a doctoral or post-doctoral level, engineers, and researchers in control theory and numerical analysis. |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Automation - Technology & Engineering | Engineering (general) - Mathematics | Applied |
| Dewey: 629.832 |
| LCCN: 2002075220 |
| Series: Numerical Methods and Algorithms |
| Physical Information: 0.89" H x 7.08" W x 9.36" (1.38 lbs) 295 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Many devices (we say dynamical systems or simply systems) behave like black boxes: they receive an input, this input is transformed following some laws (usually a differential equation) and an output is observed. The problem is to regulate the input in order to control the output, that is for obtaining a desired output. Such a mechanism, where the input is modified according to the output measured, is called feedback. The study and design of such automatic processes is called control theory. As we will see, the term system embraces any device and control theory has a wide variety of applications in the real world. Control theory is an interdisci- plinary domain at the junction of differential and difference equations, system theory and statistics. Moreover, the solution of a control problem involves many topics of numerical analysis and leads to many interesting computational problems: linear algebra (QR, SVD, projections, Schur complement, structured matrices, localization of eigenvalues, computation of the rank, Jordan normal form, Sylvester and other equations, systems of linear equations, regulariza- tion, etc), root localization for polynomials, inversion of the Laplace transform, computation of the matrix exponential, approximation theory (orthogonal poly- nomials, Pad6 approximation, continued fractions and linear fractional transfor- mations), optimization, least squares, dynamic programming, etc. So, control theory is also a. good excuse for presenting various (sometimes unrelated) issues of numerical analysis and the procedures for their solution. This book is not a book on control. |