Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation

• Κύριοι συγγραφείς: Wang, Danwei (Συγγραφέας), Ye, Yongqiang (Συγγραφέας), Zhang, Bin (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2014.
• Σειρά: Advances in Industrial Control,
• Θέματα: Engineering.; Artificial intelligence.; Neural networks (Computer science).; Statistical physics.; Computational intelligence.; Computational Intelligence.; Mathematical Models of Cognitive Processes and Neural Networks.; Artificial Intelligence (incl. Robotics).; Nonlinear Dynamics.

This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the first book of ILC from frequency domain and sampled da...

Πίνακας περιεχομένων:

• Introduction
• Extend Learnable Band and Multi-channel Configuration
• Learnable Bandwidth Extension by Auto-Tunings
• Reverse Time Filtering Based ILC
• Wavelet Transform based Frequency Tuning ILC
• Learning Transient Performance with Cutoff-Frequency Phase-In
• Downsampled ILC
• Cyclic Pseudo-Downsampled ILC.