Robust control systems. Theory and case studies.

Mackenroth, Uwe:

ISBN 10: 3540209298 / ISBN 13: 9783540209294

Verlag: Berlin, Springer, 2004

Beschreibung

519 S. Ehem. Bibliotheksexemplar mit Bib.-Signatur und Stempel in GUTEM Zustand. Kaum Gebrauchsspuren. 9783540209294 Sprache: Englisch Gewicht in Gramm: 550.

Bestandsnummer des Verkäufers 2142862

Bibliografische Details

• Titel: Robust control systems. Theory and case studies.
• Verlag: Berlin, Springer
• Erscheinungsjahr: 2004
• Sprache: Englisch
• ISBN-10: 3540209298
• ISBN-13: 9783540209294
• Einband: Hardcover
• Gewicht: 550 Gramm
• Verkäuferkataloge:
  • AA Varia

Über diesen Titel

Inhaltsangabe

 

Self-contained introduction to control theory that emphasizes on the most modern designs for high performance and robustness.

It assumes no previous coursework and offers three chapters of key topics summarizing classical control.

To provide readers with a deeper understanding of robust control theory than would be otherwise possible, the text incorporates mathematical derivations and proofs.

Includes many elementary examples and advanced case studies using MATLAB Toolboxes.

Von der hinteren Coverseite

"Robust Control Systems" gives a self-contained introduction to modern Control Theory. It thus adds a textbook to the existing research-oriented literature on Robust Control. The author lays emphasis on the modern aspects of the design of controllers with prescribed  performance and robustness properties. Different to the classical engineering approach, a rigorous mathematical treatment is essential for the full understanding and applicability of the modern methods such as H2 or H8 control or methods based on the structured singular value µ. Nevertheless, no prior knowledge of Control Theory is required as the classical fundamentals are introduced within the first few chapters. Subsequently a large part of the text provides elementary examples and industrial case studies, which are developed in full detail to show how modern methods can be applied to advanced problems. They make intensive use of MATLAB, especially the Control Systems Toolbox and the µ-Analysis and Synthesis Toolbox.