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Fault-tolerant control aims at a gradual shutdown response in
automated systems when faults occur. It satisfies the industrial
demand for enhanced availability and safety, in contrast to
traditional reactions to faults, which bring about sudden shutdowns
and loss of availability. The book presents effective model-based
analysis and design methods for fault diagnosis and fault-tolerant
control. Architectural and structural models are used to analyse
the propagation of the fault through the process, to test the fault
detectability and to find the redundancies in the process that can
be used to ensure fault tolerance. It also introduces design
methods suitable for diagnostic systems and fault-tolerant
controllers for continuous processes that are described by
analytical models of discrete-event systems represented by
automata. The book is suitable for engineering students, engineers
in industry and researchers who wish to get an overview of the
variety of approaches to process diagnosis and fault-tolerant
control. The authors have extensive teaching experience with
graduate and PhD students, as well as with industrial experts.
Parts of this book have been used in courses for this audience. The
authors give a comprehensive introduction to the main ideas of
diagnosis and fault-tolerant control and present some of their most
recent research achievements obtained together with their research
groups in a close cooperation with European research projects. The
third edition resulted from a major re-structuring and re-writing
of the former edition, which has been used for a decade by numerous
research groups. New material includes distributed diagnosis of
continuous and discrete-event systems, methods for
reconfigurability analysis, and extensions of the structural
methods towards fault-tolerant control. The bibliographical notes
at the end of all chapters have been up-dated. The chapters end
with exercises to be used in lectures.
The book gives an introduction to networked control systems and
describes new modeling paradigms, analysis methods for
event-driven, digitally networked systems, and design methods for
distributed estimation and control. Networked model predictive
control is developed as a means to tolerate time delays and packet
loss brought about by the communication network. In event-based
control the traditional periodic sampling is replaced by
state-dependent triggering schemes. Novel methods for multi-agent
systems ensure complete or clustered synchrony of agents with
identical or with individual dynamics. The book includes numerous
references to the most recent literature. Many methods are
illustrated by numerical examples or experimental results.
Fault-tolerant control aims at a gradual shutdown response in
automated systems when faults occur. It satisfies the industrial
demand for enhanced availability and safety, in contrast to
traditional reactions to faults, which bring about sudden shutdowns
and loss of availability. The book presents effective model-based
analysis and design methods for fault diagnosis and fault-tolerant
control. Architectural and structural models are used to analyse
the propagation of the fault through the process, to test the fault
detectability and to find the redundancies in the process that can
be used to ensure fault tolerance. It also introduces design
methods suitable for diagnostic systems and fault-tolerant
controllers for continuous processes that are described by
analytical models of discrete-event systems represented by
automata. The book is suitable for engineering students, engineers
in industry and researchers who wish to get an overview of the
variety of approaches to process diagnosis and fault-tolerant
control. The authors have extensive teaching experience with
graduate and PhD students, as well as with industrial experts.
Parts of this book have been used in courses for this audience. The
authors give a comprehensive introduction to the main ideas of
diagnosis and fault-tolerant control and present some of their most
recent research achievements obtained together with their research
groups in a close cooperation with European research projects. The
third edition resulted from a major re-structuring and re-writing
of the former edition, which has been used for a decade by numerous
research groups. New material includes distributed diagnosis of
continuous and discrete-event systems, methods for
reconfigurability analysis, and extensions of the structural
methods towards fault-tolerant control. The bibliographical notes
at the end of all chapters have been up-dated. The chapters end
with exercises to be used in lectures.
The book gives an introduction to networked control systems and
describes new modeling paradigms, analysis methods for
event-driven, digitally networked systems, and design methods for
distributed estimation and control. Networked model predictive
control is developed as a means to tolerate time delays and packet
loss brought about by the communication network. In event-based
control the traditional periodic sampling is replaced by
state-dependent triggering schemes. Novel methods for multi-agent
systems ensure complete or clustered synchrony of agents with
identical or with individual dynamics. The book includes numerous
references to the most recent literature. Many methods are
illustrated by numerical examples or experimental results.
Setting out core theory and reviewing a range of new methods,
theoretical problems and applications, this handbook shows how
hybrid dynamical systems can be modelled and understood. Sixty
expert authors involved in the recent research activities and
industrial application studies provide practical insights on topics
ranging from the theoretical investigations over computer-aided
design to applications in energy management and the process
industry. Structured into three parts, the book opens with a
thorough introduction to hybrid systems theory, illustrating new
dynamical phenomena through numerous examples. Part II then
provides a survey of key tools and tool integration activities.
Finally, Part III is dedicated to applications, implementation
issues and system integration, considering different domains such
as industrial control, automotive systems and digital networks.
Three running examples are referred to throughout the book,
together with numerous illustrations, helping both researchers and
industry professionals to understand complex theory, recognise
problems and find appropriate solutions.
This book presents model-based analysis and design methods for
fault diagnosis and fault-tolerant control. Architectural and
structural models are used to analyse the propagation of the fault
through the process, test fault detectability and reveal
redundancies that can be used to ensure fault tolerance. Case
studies demonstrate the methods presented.
The second edition includes new material on reconfigurable
control, diagnosis of nonlinear systems, and remote diagnosis, plus
new examples and updated bibliography.
Das Buch gibt eine breite Einfuhrung in die Beschreibung und
Analyse ereignisdiskreter Systeme. Es behandelt dabei die in der
Informationstechnik, der Informatik und der Elektronik verwendeten
Modellformen in einheitlicher Weise. Damit richtet es sich in
erster Linie an Studenten, die die Grundlagen der diskreten
Systemtheorie verstehen wollen, ohne sich auf ein bestimmtes
Anwendungsgebiet festzulegen."
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