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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Schröder, Jochen (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Έκδοση:1st ed. 2003.
Σειρά:Lecture Notes in Control and Information Sciences, 282
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Modelling, State Observation and Diagnosis of Quantised Systems  |h [electronic resource] /  |c by Jochen Schröder. 
250 |a 1st ed. 2003. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2003. 
300 |a XI, 348 p. 125 illus.  |b online resource. 
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490 1 |a Lecture Notes in Control and Information Sciences,  |x 0170-8643 ;  |v 282 
505 0 |a Basics of Stochastic Automata Theory -- Modelling of Quantised Systems by Stochastic Automata -- Further Aspects of Modelling Quantised Systems -- Automata Theory for Process Supervision -- State Observation and Diagnosis of Quantised Systems -- Stochastic Automata Networks -- Component-Oriented Modelling and Supervision of Quantised Systems -- Applications -- Summary and Conclusions. 
520 |a 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. 
650 0 |a Vibration. 
650 0 |a Dynamical systems. 
650 0 |a Dynamics. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Mechatronics. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a System theory. 
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650 2 4 |a Mathematical and Computational Engineering.  |0 http://scigraph.springernature.com/things/product-market-codes/T11006 
650 2 4 |a Systems Theory, Control.  |0 http://scigraph.springernature.com/things/product-market-codes/M13070 
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