1997 European Control Conference (ECC) 1997
DOI: 10.23919/ecc.1997.7082292
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Hybrid modelling of continuous-variable systems with application to supervisory control

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Cited by 12 publications
(3 citation statements)
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“…Petri nets offer advantages over finite automata, particularly when the issues of model complexity and concurrency of processes are of concern. On the other hand, a continuous system can be approximated by a Petri net [20] and a Petri net model is used as discrete event representation of the continuous variable system by Lunze et al [17].…”
Section: Introductionmentioning
confidence: 99%
“…Petri nets offer advantages over finite automata, particularly when the issues of model complexity and concurrency of processes are of concern. On the other hand, a continuous system can be approximated by a Petri net [20] and a Petri net model is used as discrete event representation of the continuous variable system by Lunze et al [17].…”
Section: Introductionmentioning
confidence: 99%
“…A crucial feature of the hybrid setting is that state machine realisations of the plant typically evolve on a real-valued vector, and hence uncountable, state space. The core idea of abstraction- based approaches is that, rather than synthesising a supervisor for the actual plant behaviour, one works instead with a plant abstraction that can be realised by a finite automaton (Koutsoukos et al, 2000;Cury et al, 1998;Lunze et al, 1997;Philips et al, 1999). In (Moor and Raisch, 1999;Moor et al, 2002), we develop an abstraction-based synthesis procedure within Willems' behavioural systems theory.…”
Section: Introductionmentioning
confidence: 99%
“…The core idea of abstraction based approaches is that, rather than synthesising a supervisor for the actual plant behaviour, one works instead with a plant abstraction that can be realised by a finite automaton; e.g. [4,5,6,9]. In [7,8], we develop l-complete abstractions to allow for the refinement of abstractions in the case that controller synthesis is not successful because of the abstraction being too coarse.…”
Section: Introductionmentioning
confidence: 99%