Polynomial Methods for Control Systems Design

Name: Polynomial Methods for Control Systems Design
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540760771
Price: 38435 HUF
Availability: InStock

Szerző: Michael J. Grimble, Vladimir Kucera

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

38 435 Ft

This monograph was motivated by a very successful workshop held before the 3rd IEEE Conference on De...

Információk a könyvről

Szerző

Michael J. Grimble, Vladimir Kucera

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

1996

oldal

255

EAN

9783540760771

ISBN

3540760776

Enbook ID

06810101

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

420

Méretek

155 x 235 x 15

Teljes leírás

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.

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Polynomial Methods for Control Systems Design

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