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Discrete-Time Adaptive Iterative Learning Control
- From Model-Based to Data-Driven
Engelsk Paperback
Discrete-Time Adaptive Iterative Learning Control
- From Model-Based to Data-Driven
Engelsk Paperback

1.097 kr
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Om denne bog
This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.
Product detaljer
Sprog:
Engelsk
Sider:
206
ISBN-13:
9789811904660
Indbinding:
Paperback
Udgave:
ISBN-10:
9811904669
Udg. Dato:
23 mar 2023
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Verlag, Singapore
Oplagsdato:
23 mar 2023
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