Supervisory control and scheduling of resource allocation systems: reachability graph perspective

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 Willi...

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Bibliographische Detailangaben
Weitere Verfasser: Huang, Bo 1980- (HerausgeberIn), Zhou, MengChu (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hoboken, New Jersey John Wiley & Sons, Inc [2020]
Ausgabe:First edition
Schriftenreihe:IEEE Press series on systems science and engineering
Schlagworte:
Online-Zugang:FHI01
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Zusammenfassung: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"--
Beschreibung:Includes bibliographical references and index
2006
Beschreibung:1 Online-Ressource (xxv, 256 Seiten)
ISBN:9781119619727
1119619726
9781119619703
111961970X
9781119619697
1119619696

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