2009
DOI: 10.1007/978-1-84882-244-3
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Deadlock Resolution in Automated Manufacturing Systems

Abstract: The use of registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use.The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made.

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Cited by 5 publications
(13 citation statements)
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“…Of course, since that time the deadlock theory, and especially the deadlock avoidance one, has been intensively developed -see e.g. [46,78,79,80,81,75,74,73,82,86,87] and especially [63,8,25,55,56,57,59,62,64,28,29,30,31,32,33,34,35,36,37,38,39,40,92,93,94,91,88,89,65,66,67,68,69,58,60,61,47,48,49,50,51,…”
Section: Siphons Traps Deadlocks Invariants Repetitive and Characteristic Vectorsmentioning
confidence: 99%
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“…Of course, since that time the deadlock theory, and especially the deadlock avoidance one, has been intensively developed -see e.g. [46,78,79,80,81,75,74,73,82,86,87] and especially [63,8,25,55,56,57,59,62,64,28,29,30,31,32,33,34,35,36,37,38,39,40,92,93,94,91,88,89,65,66,67,68,69,58,60,61,47,48,49,50,51,…”
Section: Siphons Traps Deadlocks Invariants Repetitive and Characteristic Vectorsmentioning
confidence: 99%
“…Let S ⊆ P be a subset of places of N . The (n × 1) vector S σ σ σ is called [58,51,91] the characteristic P -vector of S if ∀p ∈ S : S σ p = 1; otherwise S σ p = 0. The (m × 1)…”
Section: Invariants Repetitive and Characteristic Vectorsmentioning
confidence: 99%
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