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by Michael J. Grimble,Vladimir Kucera

Download Polynomial Methods for Control Systems Design eBook
ISBN:
3540760776
Author:
Michael J. Grimble,Vladimir Kucera
Category:
Engineering
Language:
English
Publisher:
Springer (November 8, 1996)
Pages:
255 pages
EPUB book:
1381 kb
FB2 book:
1354 kb
DJVU:
1331 kb
Other formats
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Rating:
4.8
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470


The workshop was held to provide an overview of polynomial system methods in LQG (or H ) and Hoo optimal control and 2 estimation

price for USA in USD (gross). The workshop was held to provide an overview of polynomial system methods in LQG (or H ) and Hoo optimal control and 2 estimation. The speakers at the workshop were chosen to reflect the important contributions polynomial techniques have made to systems theory and also to show the potential benefits which should arise in real applications.

Автор: Michael J. Grimble; Vladimir Kucera Название: Polynomial Methods for .

The workshop was held to provide an overview of polynomial system methods in LQG (or H ) and Hoo optimal control and 2 estimation.

Start by marking Polynomial Methods for Control Systems Design as Want to Read . Both H2 and H¿ design methods are considered involving both scalar and multivariable problem solutions

Start by marking Polynomial Methods for Control Systems Design as Want to Read: Want to Read savin. ant to Read. Both H2 and H¿ design methods are considered involving both scalar and multivariable problem solutions.

oceedings{lMF, title {Polynomial Methods for Control Systems Design}, author {Michael J. Grimbke . Preface i. 1 A Tutorial on H2 Control Theory: The Continuous Time Case. Grimbke and Vladim{'i}r Kucera}, year {1996} }. Michael J. Grimbke, Vladimír Kucera. . LQG control theory.

Presents a comprehensive introduction to the polynomial systems approach for the solution of H 2 and H infinity optimal control problems. Develops robust control design procedures using frequency domain methods. Demonstrates design examples for gas turbines, marine systems, metal processing, flight control, wind turbines, process control and manufacturing systems. Includes the analysis of multi-degrees of freedom controllers and the computation of restricted structure controllers that are simple to implement. Considers time-varying control and signal processing problems.

Grimble, Michael . Kucera, V. ISBN-13.

Polynomial Methods for Control Systems Design. Springer London, Springer. Grimble, Michael .

Control design methods - general. Grimble, M. Polynomial Methods for Control Systems Design, Springer-Verlag, 1996

Control design methods - general. Kailath, T. Linear Systems. Discrete Linear Control - The Polynomial Equation Approach. John Wiley and Sons Lt. 1979. Polynomial Methods for Control Systems Design, Springer-Verlag, 1996.

Discover Book Depository's huge selection of Michael J Grimble books online. Free delivery worldwide on over 20 million titles. Polynomial Methods for Control Systems Design.

You will learn about Polynomial Methods for Control Systems Design by Vladimir Kučera (auth. Reproduction of site books is authorized only for informative purposes and strictly for personal, private use. Professor Michael J. Grimble, Professor Vladimir Kučera (ed.

This monograph was motivated by a very successful workshop held before the 3rd IEEE Conference on Decision and Control held at the Buena Vista Hotel, lake Buena Vista, Florida, USA. The workshop was held to provide an overview of polynomial system methods in LQG (or H ) and Hoo optimal control and 2 estimation. The speakers at the workshop were chosen to reflect the important contributions polynomial techniques have made to systems theory and also to show the potential benefits which should arise in real applications. An introduction to H2 control theory for continuous-time systems is included in chapter 1. Three different approaches are considered covering state-space model descriptions, Wiener-Hopf transfer function methods and finally polyno­ mial equation based transfer function solutions. The differences and similarities between the techniques are explored and the different assumptions employed in the solutions are discussed. The standard control system description is intro­ duced in this chapter and the use of Hardy spaces for optimization. Both control and estimation problems are considered in the context of the standard system description. The tutorial chapter concludes with a number of fully worked ex­ amples.