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Invoking the machinery of Control Theory to control a real-world
plant means, on the basis of available a priori knowledge of the
plant, design ing/selecting a feasible controller accomplishing the
control objective. A priori knowledge about the plant is normally
represented as a mathemat ical model, given by physical laws or
measurement data. Such a model is inevitably uncertain, due to
measurement errors, simplified models of natural laws, neglected
dynamics, and the desire to get a model tractable for further
computations. Control of Uncertain Systems is therefore an im
portant issue, both practically and philosophically. Basically, two
different approaches exist: Adaptive Control and Robust Control. On
four beautiful summer days in June 1989, researchers from 12 coun
tries gathered together in Bremen, West Germany, for a workshop
devoted to these issues. 49 talks, invited and contributed, were
presented. The present work collects 18 of these talks. (Program
and original abstracts from the workshop are available as Report
209, Institute for Dynamical System.) The papers represent a broad
scope of current trends in robust and adaptive control. Topics
covered include: New directions in adaptive control, stability
analysis of uncertain systems, robust and adaptive stabi lization,
numerical methods, and topological aspects of robust control. The
papers were carefully refereed and we would like to thank the
referees for their efforts, which have resulted in substantial
improvements."
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