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Structured controller design: Facts and visions

In this talk we address the problem of designing controller components that are distributed in possibly large inter-connections of linear dynamical systems. In a translation to the generalized plant framework, this amounts to designing controllers that are required to admit specific information structures, such as their transfer matrices being triangular. For typical performance specifications we sketch several concrete applications, in particular to multiple-objectives controller design. On the basis of a structured parameterization of all stabilizing controllers in the frequency domain we discuss various solution strategies. As a novel contribution we present, for specific inter-connections, a design algorithm which allows to a priori determine the degree of the controller components. This new procedure hence avoids the typical disadvantages of Youla-parameterization based techniques of unboundedly increasing controller orders if approaching optimality.

Type of Seminar:
Minisymposium on Analysis and Control of Dynamical Systems
Dr. Carsten Scherer
Mechanical Engineering Systems and Control Group, Delft University of Technology, The Netherlands
Dec 20, 2000   08:15

ETH Zentrum, Building VAW, Room B1, Gloriastrasse 37-39, 8006 Zurich
Contact Person:

Prof. M. Morari
No downloadable files available.
Biographical Sketch:
Carsten Scherer received the diploma and Ph.D. degree in mathematics from the University of Würzburg in 1987 and 1991 respectively. In 1989, Dr. Scherer spent six months as a visiting scientist at the University of Groningen. In 1992, he was awarded a DFG-grant for six months of post doctoral research at the University of Michigan and at Washington University respectively. In 1993 Dr. Scherer joined the Mechanical Engineering Systems and Control Group at Delft University of Technology where he currently holds a position as associate professor. In 1999 he spent a three months sabbatical as a visiting professor at ETH-Zürich. His research interests cover various topics in applying optimization techniques for developing new advanced controller design algorithms and their application to mechatronics and aerospace systems.