Variable Gain Design in Stochastic Iterative Learning Control

Language: English

Published by Springer, Berlin, Springer, 2026

981978283X / 9789819782833

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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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.

Seller Inventory # 9789819782833

Title
Variable Gain Design in Stochastic Iterative Learning Control
Author
Dong Shen
Publisher
Springer, Berlin, Springer
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
981978283X
ISBN 13
9789819782833
Dimensions
235x155x35 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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