TY  - BOOK
AU  - Shen,Dong
ED  - SpringerLink (Online service)
TI  - Variable Gain Design in Stochastic Iterative Learning Control
T2  - Intelligent Control and Learning Systems,
SN  - 9789819782819
AV  - TJ212-225 
U1  - 629.8312 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Control engineering
KW  - Stochastic processes
KW  - System theory
KW  - Control theory
KW  - Industrial engineering
KW  - Automation
KW  - Control and Systems Theory
KW  - Stochastic Systems and Control
KW  - Systems Theory, Control
KW  - Industrial Automation
N1  - Introduction -- Preliminary Results -- Decreasing Gain Design -- Adaptive Gain Design -- Event triggering Gain Design -- Optimal Gain Design -- Conclusions and Open Problems -- References
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-8281-9
ER  -