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Computation of admissible marking sets in weighted state machines by dynamic programming
- Source :
- 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Dec 2017, Melbourne, France. ⟨10.1109/CDC.2017.8264375⟩, CDC
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- In this paper we aim to characterize the admissible marking set in partially controllable Petri nets with weighted arcs. We consider a special subclass of generalized Petri nets called weighted state machines (WSMs) that have state-machine topology with weighted arcs. Such subclass of nets can be used to model systems of practical interest characterized by operations executed in batches. We propose a dynamic programming method to compute the admissible marking set of an elementary GMEC for a net in this subclass. Such a result can be used to design an online control logic to ensure that the current marking is always covered by some maximal admissible markings and is always admissible.
- Subjects :
- 030213 general clinical medicine
0209 industrial biotechnology
Finite-state machine
Computer science
Computation
02 engineering and technology
Petri net
Net (mathematics)
Dynamic programming
Set (abstract data type)
03 medical and health sciences
[SPI]Engineering Sciences [physics]
020901 industrial engineering & automation
0302 clinical medicine
Control logic
Algorithm
ComputingMilieux_MISCELLANEOUS
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Dec 2017, Melbourne, France. ⟨10.1109/CDC.2017.8264375⟩, CDC
- Accession number :
- edsair.doi.dedup.....22be61e0f21a016936ff2167da07b76e