Non-linear Control Based on Physical Models Electrical, Mechanical and Hydraulic Systems /

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 ph...

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Bibliographic Details
Main Author: Kugi, Andreas (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2001.
Edition:1st ed. 2001.
Series:Lecture Notes in Control and Information Sciences, 260
Subjects:
Online Access:Full Text via HEAL-Link
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245 1 0 |a Non-linear Control Based on Physical Models  |h [electronic resource] :  |b Electrical, Mechanical and Hydraulic Systems /  |c by Andreas Kugi. 
250 |a 1st ed. 2001. 
264 1 |a London :  |b Springer London :  |b Imprint: Springer,  |c 2001. 
300 |a XV, 174 p. 19 illus.  |b online resource. 
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490 1 |a Lecture Notes in Control and Information Sciences,  |x 0170-8643 ;  |v 260 
505 0 |a Fundamentals -- Some non-linear control design strategies -- Electromagnetic systems -- Mechanical PCH-systems -- Hydraulic drive systems. 
520 |a 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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650 0 |a Mechanical engineering. 
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