Variable Gain Design in Stochastic Iterative Learning Control

Name: Variable Gain Design in Stochastic Iterative Learning Control
Brand: Springer, Berlin
SKU: 9789819782802
Price: 3426 CZK
Availability: InStock

Autor: Dong Shen

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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This book investigates the critical gain design in stochastic iterative learning control (SILC), inc...

Informace o knize

Autor

Dong Shen

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2025

Stránek

230

EAN

9789819782802

Enbook ID

46478847

Vydavatel

Springer, Berlin

Hmotnost

655

Rozměry

155 x 235

Kompletní popis

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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Variable Gain Design in Stochastic Iterative Learning Control

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