Supervisory Control and Scheduling of Resource Allocation Systems: Reachability Graph Perspective
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Supervisory Control and Scheduling of Resource Allocation Systems offers an important guide to Petri net (PN) models and methods for supervisory control and system scheduling of resource allocation systems (RASs). Resource allocation systems are common in automated manufacturing systems, project management systems, cloud data centers, and software engineering systems. The authors—two experts on the topic—present a definition, techniques, models, and state-of-the art applications of supervisory control and scheduling problems.
The book introduces the basic concepts and research background on resource allocation systems and Petri nets. The authors then focus on the deadlock-free supervisor synthesis for RASs using Petri nets. The book also investigates the heuristic scheduling of RASs based on timed Petri nets. Conclusions and open problems are provided in the last section of the book.
This important book:
- Includes multiple methods for supervisory control and scheduling with reachability graphs, and provides illustrative examples
- Reveals how to accelerate the supervisory controller design and system scheduling of RASs based on PN reachability graphs, with optimal or near-optimal results
- Highlights both solution quality and computational speed in RAS deadlock handling and system scheduling
Written for researchers, engineers, scientists, and professionals in system planning and control, engineering, operation, and management, Supervisory Control and Scheduling of Resource Allocation Systems provides an essential guide to the supervisory control and scheduling of resource allocation systems (RASs) using Petri net reachability graphs, which allow for multiple resource acquisitions and flexible routings.
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BO HUANG, PHD, is a Full Professor with the School of Computer Science and Engineering at Nanjing University of Science and Technology (NUST).
MENGCHU ZHOU, PHD, is a Distinguished Professor of Electrical and Computer Engineering and the Director of Discrete-Event Systems Laboratory at the New Jersey Institute of Technology (NJIT).
