Normal view MARC view ISBD view

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): Huang, Bo, 1980- [editor.] | Zhou, MengChu [editor.].
Material type: materialTypeLabelBookSeries: IEEE Press series on systems science and engineering: Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2020]Edition: First edition.Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781119619727; 1119619726; 9781119619703; 111961970X; 9781119619697; 1119619696.Subject(s): Resource allocation -- Decision making | Management information systems | Management information systems | Resource allocation -- Decision makingGenre/Form: Electronic books.Additional physical formats: Print version:: Supervisory control and scheduling of resource allocation systemsDDC classification: 658.4/034 Online resources: Wiley Online Library
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.
    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.

"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.

Description based on print version record and CIP data provided by publisher; resource not viewed.

John Wiley and Sons Wiley Frontlist Obook All English 2020

There are no comments for this item.

Log in to your account to post a comment.