
Robust Control for Unstructured Perturbations - An Introduction
Springer (Publisher)
Published on 30. January 1992
Book
Paperback/Softback
VI, 122 pages
978-3-540-54920-8 (ISBN)
Description
These lecture notes focus on the synthesis of robust con-
trollers for feedback systems, in the presence of unstruc-
tured perturbations. It is assumed, as a prerequisites, that
the reader is familiar with the basic linear system and au-
tomatic control concepts. In part I interpolation theory is
used to solve various single-input-single-output (SISO) ro-
bust control problems. While the interpolation approach is
awkward for multivariable systems, it provides a very natu-
ral and simple approach for SISO systems. In particular the
interpolation approach requires only elementary knowledge
of complex variables, and provides a great deal of physical
insight into various robust control problems. The required
interpolation theory is developed in some detail. Part II
is devoted to multivariable systems. Two approaches are out-
lined: the Hankle-norm approach and the two-Riccati-equa-
tion approach. In this part only a limited number of results
are proven. However MATLAB software is presented for nu-
merical solution. The book is addressed to researchers,
practicing engineers, and students who wish to get an intro-
duction to robust control theory for unstructured plant
perturbations. The organization of the book as lecture notes
and the presence of examples and of exercises at the end
of many chapters allow to use the book as an introductory
text in Robust Control courses.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
VI, 122 p.
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 8 mm
Weight
249 gr
ISBN-13
978-3-540-54920-8 (9783540549208)
DOI
10.1007/BFb0039551
Schweitzer Classification
Persons
Content
Robust stabilization.- Nevanlinna-pick interpolation theory.- ?? sensitivity/disturbance-rejection optimization.- The matrix ?? sensitivity optimization problem.- Solution of the matrix ?? control problem.- Multiobjective design.