Variable Gain Design in Stochastic Iterative Learning Control - Couverture souple

Shen, Dong

9789819782833: Variable Gain Design in Stochastic Iterative Learning Control

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ISBN 10 : 981978283X ISBN 13 : 9789819782833

Editeur : Springer, 2026

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This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control.

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� propos de l'auteur

Dong Shen received the B.S. degree in mathematics from the School of Mathematics, Shandong University, Jinan, China, in 2005, and the Ph.D. degree in mathematics from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), Beijing, China, in 2010. From 2010 to 2012, he was a postdoctoral fellow with the Institute of Automation, CAS. From 2012 to 2019, he was with the College of Information Science and Technology, Beijing University of Chemical Technology, Beijing. In 2016 and 2019, he was a visiting scholar with the National University of Singapore, Singapore, and RMIT University, Melbourne, VIC, Australia, respectively. Since 2020, he has been a professor at the School of Mathematics, Renmin University of China, Beijing. His research interests include iterative learning control, stochastic optimization, stochastic systems, and distributed artificial intelligence.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2026
Langue: anglais
ISBN 10: 981978283X
ISBN 13: 9789819782833
Reliure: Broch�
Nombre de pages: 364
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Variable Gain Design in Stochastic Iterative Learning Control (Paperback)

Dong Shen

Edit� par Springer Verlag, Singapore, Singapore, 2026

ISBN 10 : 981978283X ISBN 13 : 9789819782833

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Paperback. Etat : new. Paperback. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9789819782833

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Variable Gain Design in Stochastic Iterative Learning Control (Paperback)

Dong Shen

Edit� par Springer Verlag, Singapore, Singapore, 2026

ISBN 10 : 981978283X ISBN 13 : 9789819782833

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Paperback. Etat : new. Paperback. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9789819782833

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Variable Gain Design in Stochastic Iterative Learning Control

Dong Shen

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. 350 pp. Englisch. N� de r�f. du vendeur 9789819782833

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Variable Gain Design in Stochastic Iterative Learning Control

Shen, Dong

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Variable Gain Design in Stochastic Iterative Learning Control

Dong Shen

Edit� par Springer, 2026

ISBN 10 : 981978283X ISBN 13 : 9789819782833

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. N� de r�f. du vendeur 9789819782833

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Variable Gain Design in Stochastic Iterative Learning Control

Dong Shen

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Variable Gain Design in Stochastic Iterative Learning Control

Shen, Dong

Edit� par Springer, 2026

ISBN 10 : 981978283X ISBN 13 : 9789819782833

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Variable Gain Design in Stochastic Iterative Learning Control

Dong Shen

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 364 pp. Englisch. N� de r�f. du vendeur 9789819782833

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