Téléchargez le livre : Variable Gain Design in Stochastic Iterative Learning Control

Variable Gain Design in Stochastic Iterative Learning Control

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Éditeur :

Springer


Collection :

Intelligent Control and Learning Systems

Paru le : 2025-01-02

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Description

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.
Pages
350 pages
Collection
Intelligent Control and Learning Systems
Parution
2025-01-02
Marque
Springer
EAN papier
9789819782802
EAN PDF
9789819782819
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
6840 Ko
Prix
147,69 €
EAN EPUB
9789819782819
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
65597 Ko
Prix
147,69 €

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