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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution
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System Modeling and Control with Resource-Oriented Petri Nets (Paperback)
Loot Price: R2,428
Discovery Miles 24 280
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System Modeling and Control with Resource-Oriented Petri Nets (Paperback)
Series: Automation and Control Engineering
Expected to ship within 12 - 17 working days
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Petri nets are widely used in modeling, analysis, and control of
discrete event systems arising from manufacturing, transportation,
computer and communication networks, and web service systems.
However, Petri net models for practical systems can be very large,
making it difficult to apply such models to real-life problems.
System Modeling and Control with Resource-Oriented Petri Nets
introduces a new resource-oriented Petri net (ROPN) model that was
developed by the authors. Not only does it successfully reduce
model size, but it also offers improvements that facilitate
effective modeling, analysis, and control of automated and
reconfigurable manufacturing systems. Presenting the latest
research in this novel approach, this cutting-edge volume provides
proven theories and methodologies for implementing cost and
time-saving improvements to contemporary manufacturing systems. It
provides effective tools for deadlock avoidance-deadlock-free
routing and deadlock-free scheduling. The authors supply simple and
complex industrial manufacturing system examples to illustrate
time-tested concepts, theories, and approaches for solving
real-life application problems. Written in a clear and concise
manner, the text covers applications to automated and
reconfigurable manufacturing systems, automated guided vehicle
(AGV) systems, semiconductor manufacturing systems, and flexible
assembly systems. Explaining complex concepts in a manner that is
easy to understand, the authors provide the understanding and tools
needed for more effective modeling, analysis, performance
evaluation, control, and scheduling of engineering processes that
will lead to more flexible and efficient manufacturing systems.
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