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Fault-Tolerant Control of Networked Systems by Redistribution of Control Tasks

Kai Schenk

ISBN 978-3-8325-5372-2
298 Seiten, Erscheinungsjahr: 2021
Preis: 57.50 €
This thesis deals with networked systems that together have to exhibit a desired common behavior, in other words, they have to satisfy a cooperative task – even when a subsystem is affected by a fault. This requires a coordination of the subsystems, which is achieved by a suitable decomposition of the cooperative task into local control tasks. As the focus is given to the subsystems’ common behavior, the decomposition can be changed as long as the cooperative task keeps being accomplished. This introduces redundancy to the overall system, which is important for fault-tolerant control because the cooperative task can be satis ed in multiple ways. If faults are causing subsystems to malfunction, their control tasks can be redistributed among the remaining healthy systems. Hence, faults can be compensated by means of cooperation.

The aim of this thesis is to combine three topics of control theory: Networked systems, fault-tolerant systems, and cooperating systems. This combination is referred to as fault-tolerant task assignment in networked systems. This thesis answers the question: How can a exible assignment of control tasks help to prevent that malfunctions of subsystems adversely affect the accomplishment of a cooperative task?

Kai Schenk received the B.Sc. degree in electrical engineering with honors from the University of Applied Sciences Münster, Germany, in 2012, and the M.Sc. in electrical and information engineering with honors from the Ruhr-University Bochum, Germany, in 2015. From 2015 to 2021 he was a research assistant at the Institute of Automation and Computer Control at the Ruhr-University Bochum, Germany, where he obtained his Ph.D. His research interests include networked control systems and fault-tolerant control.

Inhaltsverzeichnis (PDF)

Leseprobe (PDF)

Keywords:

  • Networked system
  • Fault-tolerant control
  • Feedforward control

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