Książka Variable Gain Design in Stochastic Iterative Learning Control Dong Shen

Variable Gain Design in Stochastic Iterative Learning Control

Autor: Dong Shen
Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
634.56
This book investigates the critical gain design in stochastic iterative learning control (SILC), inc...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2025
strony
230
EAN
9789819782802
Enbook ID
46478847
Waga
655
Wymiary
155 x 235

Pełny opis

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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