Iterative Learning Control for Systems with Iteration-Varying Trial Lengths Synthesis and Analysis /

• Κύριοι συγγραφείς: Shen, Dong (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Li, Xuefang (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Control engineering.; System theory.; Applied mathematics.; Engineering mathematics.; Algorithms.; Control and Systems Theory.; Systems Theory, Control.; Mathematical and Computational Engineering.

This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might r...

Πίνακας περιεχομένων:

• Introduction
• Averaging and Expectation Techniques for Linear DT Systems
• Lifting Techniques for Linear DT Systems
• Moving Averaging Techniques for Linear DT Systems
• Switching System Techniques for Linear DT Systems
• Moving Averaging Tehcniques for Nonlinear CT Systems
• Modified Lambda-Norm Techniques for Nonlinear DT Systems
• Sampled-Data Control Techniques for Nonlinear CT Systems
• CEF Techniques for Parameterized Nonlinear CT Systems
• CEF Techniques for Nonparameterized Nonlinear CT Systems
• Summary and Future Research Directions
• Appendix.