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Record Nr. |
UNINA9910863275803321 |
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Autore |
Khan Ameer Hamza |
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Titolo |
Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach / / by Ameer Hamza Khan, Xinwei Cao, Shuai Li |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (XI, 83 p. 39 illus., 35 illus. in color.) |
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Disciplina |
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Soggetti |
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Automatic control |
Operations research |
Neural networks (Computer science) |
Control and Systems Theory |
Operations Research and Decision Theory |
Mathematical Models of Cognitive Processes and Neural Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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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Sommario/riassunto |
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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. |
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