Management and intelligent decision-making in complex systems : an optimization-driven approach / Ameer Hamza Khan, Xinwei Cao, Shuai Li.
Khan, Ameer Hamza, author.; Cao, Xinwei, author.; Li, Shuai, 1983- author.
2021
T57.95 .K43 2021
Available Online

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Title Management and intelligent decision-making in complex systems : an optimization-driven approach / Ameer Hamza Khan, Xinwei Cao, Shuai Li.
Author Khan, Ameer Hamza, author.
ISBN 9789811593925 (electronic book)
9811593922 (electronic book)
9789811593932 (print)
9811593930
9811593914
9789811593918
DOI https://doi.org/10.1007/978-981-15-9392-5
Published Singapore : Springer, [2021]
Language English
Description 1 online resource
Item Number 10.1007/978-981-15-9392-5 doi
Call Number T57.95 .K43 2021
Dewey Decimal Classification 658.4/03
Summary In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector of articulated agents, and accurate management of low-level torque-control loop to accurately control the articulated agents. This book summarizes recent advances related to articulated agents. The motive behind the book is to trigger theoretical and practical research studies related to articulated agents.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from digital title page (viewed on January 04, 2021).
Added Author Cao, Xinwei, author.
Li, Shuai, 1983- author.
Available in Other Form Management and intelligent decision-making in complex systems.
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Record Appears in Online Resources > Ebooks
All Resources
Obstacle Avoidance Based Decision Making and Management of Articulated Agents
Management of Soft Agents with Structural Uncertainty
A Novel Damping Mechanism for Soft Agents with Structural Uncertainty
Management of Electrical Machine Using Torque Control Strategy.

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