Ebook: Modelling, State Observation and Diagnosis of Quantised Systems

The book concerns quantised systems which emerge from continuous-variable systems by quantising the values of all signals. It is shown how this leads to an abstract system description by means of a stochastic automaton. Based on stochastic automata, new methods for the solution to state observation and fault diagnostic problems are derived. The methods are extended to networks of stochastic automata, allowing component-oriented modelling and, thus, to deal with complex systems. The practical applicability and usefulness of the approach is shown at several examples.

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The book concerns quantised systems which emerge from continuous-variable systems by quantising the values of all signals. It is shown how this leads to an abstract system description by means of a stochastic automaton. Based on stochastic automata, new methods for the solution to state observation and fault diagnostic problems are derived. The methods are extended to networks of stochastic automata, allowing component-oriented modelling and, thus, to deal with complex systems. The practical applicability and usefulness of the approach is shown at several examples.

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The book concerns quantised systems which emerge from continuous-variable systems by quantising the values of all signals. It is shown how this leads to an abstract system description by means of a stochastic automaton. Based on stochastic automata, new methods for the solution to state observation and fault diagnostic problems are derived. The methods are extended to networks of stochastic automata, allowing component-oriented modelling and, thus, to deal with complex systems. The practical applicability and usefulness of the approach is shown at several examples.
Content:
Front Matter....Pages I-XI
Introduction....Pages 1-12
Basics of Stochastic Automata Theory....Pages 13-35
Modelling of Quantised Systems by Stochastic Automata....Pages 37-94
Further Aspects of Modelling Quantised Systems....Pages 95-122
Automata Theory for Process Supervision....Pages 123-167
State Observation and Diagnosis of Quantised Systems....Pages 169-197
Stochastic Automata Networks....Pages 199-232
Component-Oriented Modelling and Supervision of Quantised Systems....Pages 233-251
Applications....Pages 253-292
Summary and Conclusions....Pages 293-296
Back Matter....Pages 297-348

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The book concerns quantised systems which emerge from continuous-variable systems by quantising the values of all signals. It is shown how this leads to an abstract system description by means of a stochastic automaton. Based on stochastic automata, new methods for the solution to state observation and fault diagnostic problems are derived. The methods are extended to networks of stochastic automata, allowing component-oriented modelling and, thus, to deal with complex systems. The practical applicability and usefulness of the approach is shown at several examples.
Content:
Front Matter....Pages I-XI
Introduction....Pages 1-12
Basics of Stochastic Automata Theory....Pages 13-35
Modelling of Quantised Systems by Stochastic Automata....Pages 37-94
Further Aspects of Modelling Quantised Systems....Pages 95-122
Automata Theory for Process Supervision....Pages 123-167
State Observation and Diagnosis of Quantised Systems....Pages 169-197
Stochastic Automata Networks....Pages 199-232
Component-Oriented Modelling and Supervision of Quantised Systems....Pages 233-251
Applications....Pages 253-292
Summary and Conclusions....Pages 293-296
Back Matter....Pages 297-348
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