Iterative learning control : robustness and monotonic convergence for interval systems

This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. Two key problems with the fundamentals of iterative learning control (ILC) design as treated by existing work are: first, many ILC design strategies assume nominal knowledg...

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Bibliografiske detaljer
Andre forfattere: Ahn, Hyo-Sung (Directeur de la publication), Chen, Yangquan, 1966- (Directeur de la publication), Moore, Kevin L, 1960- (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: London : Springer London [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2007.
Serier:Communications and Control Engineering
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Iterative Learning Control, Texte imprimé, 9781849966580
• Iterative Learning Control, Texte imprimé, 9781848006232
• Iterative Learning Control, Texte imprimé, 9781846288463
Indholdsfortegnelse:
  • 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.