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Modelling, State Observation and Diagnosis of Quantised Systems

  • Book
  • © 2003

Overview

Authors:
  1. Jochen Schröder

    1. BMW Group, München, Germany

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  • Presents a new method for diagnosis and observation of dynamical systems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 282)

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Table of contents (10 chapters)

  1. Front Matter

    Pages I-XI
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  2. Introduction

    Pages 1-12

  3. Basics of Stochastic Automata Theory

    Pages 13-35

  4. Modelling of Quantised Systems by Stochastic Automata

    Pages 37-94

  5. Further Aspects of Modelling Quantised Systems

    Pages 95-122

  6. Automata Theory for Process Supervision

    Pages 123-167

  7. State Observation and Diagnosis of Quantised Systems

    Pages 169-197

  8. Stochastic Automata Networks

    Pages 199-232

  9. Component-Oriented Modelling and Supervision of Quantised Systems

    Pages 233-251

  10. Applications

    Pages 253-292

  11. Summary and Conclusions

    Pages 293-296

  12. Back Matter

    Pages 297-348
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Keywords

About this book

Ongoing advances in science and engineering enable mankind to design and operate increasingly sophisticated systems. Both their design and operation require the understanding of the system and its interaction with the envir- ment. This necessitates the formalisation of the knowledge about the system by models. A major issue is what kind of model is best suited for a given task. This book is about the supervision of continuous dynamical systems. Such systems are typically described by di?erential equations. However, this does notautomaticallymeanthatdi?erentialequationsarepropermodelsforso- ing supervision tasks. Instead, this book and recent approaches in literature show that supervision tasks do in general not require the use of such precise modelsasdi?erentialequations.Thisisofinterestbecauseuncertainties,t- ically occurring in supervision, make the use of precise models very di?cult. Alternative approaches therefore use less precise models such as discrete– event descriptions to solve supervision tasks on a higher level of abstraction. Discrete–event descriptions in form of automata are one of the key elements of this book. To reach this higher level of abstraction, uncertainties by qu- tisation are introduced on purpose, taking into account a loss of precision. This is one of the main di?erence to other approaches. When using nume- calmodelsliketransferfunctionsordi?erentialequations,uncertaintiesmake the analysis more di?cult. Not so here, where the system is described on a qualitative level on which uncertainties are naturally incorporated. The book presents a new way to describe systems for supervision. Preparing this book I learned that the key to solve supervision problems is simplicity.

Authors and Affiliations

  • BMW Group, München, Germany

    Jochen Schröder

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