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Non-linear Control Based on Physical Models

Electrical, Mechanical and Hydraulic Systems

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Non-linear Control Based on Physical Models Andreas Kugi
Libristo kod: 02300638
Nakladnici Springer London Ltd, studeni 2000
This book combines real problems of practical interest with an application of profound theory. The m... Cijeli opis
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This book combines real problems of practical interest with an application of profound theory. The mathematical model is derived step by step on the basis of physical principles, and the physics behind the control problems serves as a basis for the controller design. The book demonstrates how the physics behind the mathematical models can help to successfully apply a certain control strategy. The book aims to show the practical relevance of the presented methods, methods which are often criticised as only of theoretical interest, through an examination of their industrial applications. Throughout, the book gives the unique mathematical formulation of the different disciplines involved, namely electrical, hydraulic and mechanical engineering. Yet it also points out the common mathematical structure of the different physical models. This makes it possible to transfer reliable control strategies between the disciplines.

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Informacije o knjizi

Puni naziv Non-linear Control Based on Physical Models
Autor Andreas Kugi
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2000
Broj stranica 174
EAN 9781852333294
ISBN 1852333294
Libristo kod 02300638
Nakladnici Springer London Ltd
Težina 302
Dimenzije 155 x 235 x 11

Kategorija

Mathematics & Science > Mathematics > Applied mathematics > Nonlinear science
Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering
Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Technology, Engineering, Agriculture > Mechanical engineering & materials > Mechanical engineering
Technology, Engineering, Agriculture > Mechanical engineering & materials > Production engineering
Computing & Information Technology > Computer science
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