Amazon cover image
Image from Amazon.com
Image from OpenLibrary

Supervisory control and scheduling of resource allocation systems : reachability graph perspective / [edited by] Bo Huang, Nanjing University of Science and Technology, Nanjing, China, Mengchu Zhou New Jersey Institute of Technology, Newark, NJ, USA.

Contributor(s): Material type: TextTextSeries: IEEE Press series on systems science and engineeringPublisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2020]Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2020]Edition: First editionDescription: 1 PDFContent type:
  • text
Media type:
  • electronic
Carrier type:
  • online resource
ISBN:
  • 9781119619697
Subject(s): Genre/Form: Additional physical formats: Print version:: Supervisory control and scheduling of resource allocation systemsDDC classification:
  • 658.4/034
Online resources: Also available in print.
Partial contents:
Reinforcement and systemic machine learning for decision making / Parag Kulkarni -- Remote sensing and actuation using unmanned vehicles / Haiyang Chao and YangQuan Chen -- Hybrid control and motion planning of dynamical legged locomotion / Nasser Sadati, Guy A. Dumont, Kaveh Akbari Hamed, and William A. Gruver.
Summary: "This book presents Petri net (PN) models and methods for supervisory control and system scheduling of resource allocation systems (RASs) which are common in practice, such as automated manufacturing systems, project management systems, cloud data centers, and software engineering systems. It begins with a brief definition of the Supervisory Control and Scheduling problems of RAS. Then, different types of Petri net models of RASs and their analysis methods are presented. Next, the book is divided into two parts to provide different speed-up methodologies with numerical experiments for supervisory control and heuristic scheduling, respectively. Conclusions and open problems are provided in the last part of the book"-- Provided by publisher.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

Reinforcement and systemic machine learning for decision making / Parag Kulkarni -- Remote sensing and actuation using unmanned vehicles / Haiyang Chao and YangQuan Chen -- Hybrid control and motion planning of dynamical legged locomotion / Nasser Sadati, Guy A. Dumont, Kaveh Akbari Hamed, and William A. Gruver.

Restricted to subscribers or individual electronic text purchasers.

"This book presents Petri net (PN) models and methods for supervisory control and system scheduling of resource allocation systems (RASs) which are common in practice, such as automated manufacturing systems, project management systems, cloud data centers, and software engineering systems. It begins with a brief definition of the Supervisory Control and Scheduling problems of RAS. Then, different types of Petri net models of RASs and their analysis methods are presented. Next, the book is divided into two parts to provide different speed-up methodologies with numerical experiments for supervisory control and heuristic scheduling, respectively. Conclusions and open problems are provided in the last part of the book"-- Provided by publisher.

Also available in print.

Mode of access: World Wide Web

There are no comments on this title.

to post a comment.
© 2023 IMPA Library | Customized & Maintained by Sérgio Pilotto


Powered by Koha