Hyo-Sung Ahn,
Kevin L. Moore,
YangQuan Chen
Iterative Learning Control
Robustness and Monotonic Convergence for Interval Systems
Paperback Engels 2010 9781849966580Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.
Specificaties
ISBN13:9781849966580
Taal:Engels
Bindwijze:paperback
Aantal pagina's:230
Uitgever:Springer London
Druk:0
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Inhoudsopgave
Iterative Learning Control Overview.- An Overview of the ILC Literature.- The Super-vector Approach.- Robust Interval Iterative Learning Control.- Robust Interval Iterative Learning Control: Analysis.- Schur Stability Radius of Interval Iterative Learning Control.- Iterative Learning Control Design Based on Interval Model Conversion.- Iteration-domain Robustness.- Robust Iterative Learning Control: H? Approach.- Robust Iterative Learning Control: Stochastic Approaches.- Conclusions.
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