Iterative Learning Control Robustness and Monotonic Convergence for Interval Systems /

• Κύριοι συγγραφείς: Ahn, Hyo-Sung (Συγγραφέας), Chen, YangQuan (Συγγραφέας), Moore, Kevin L. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2007.
• Σειρά: Communications and Control Engineering,
• Θέματα: Engineering.; Artificial intelligence.; Bioinformatics.; System theory.; Control engineering.; Robotics.; Mechatronics.; Biomedical engineering.; Control.; Systems Theory, Control.; Artificial Intelligence (incl. Robotics).; Control, Robotics, Mechatronics.; Biomedical Engineering.

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...

Πίνακας περιεχομένων:

• 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.