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Petri Net Based Multi Elevator by Fakhir Muhammad (3 results)
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Petri Net based Multi-Elevator System with Multi-Agent Environment
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848489449 ISBN 13: 9783848489442
Condition: New.
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Petri Net based Multi-Elevator System with Multi-Agent Environment | Uses of Petri Nets for Elevator Systems
Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3848489449 ISBN 13: 9783848489442
Taschenbuch. Condition: Neu. Petri Net based Multi-Elevator System with Multi-Agent Environment | Uses of Petri Nets for Elevator Systems | Muhammad Ilyas Fakhir (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848489442 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Petri Net based Multi-Elevator System with Multi-Agent Environment : Uses of Petri Nets for Elevator Systems
Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3848489449 ISBN 13: 9783848489442
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - I m trying to build bridges between mathematics and practical subjects like information technology and engineering. A Petri nets (PNs) are a graphical and mathematical tool that are used for describing and studying information processing systems that are characterized as being concurrent, asynchronous, distributed, parallel, non-deterministic and/or stochastic. As a graphical tool, Petri nets can be used as a visual-communication aid similar to flow charts, block diagrams and networks. Tokens are used in these nets to simulate the dynamic and concurrent states of systems. As a mathematical tool, it is possible to set up state equations, algebraic equations and other mathematical models governing the behavior of systems. Since Petri nets are a formal methods designing and modeling technique, so they are used to model complex systems as mathematical entities. By building a mathematically rigorous model of a complex system, it is possible to verify the system's properties in a more thorough fashion than empirical testing.
