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

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Wang, Danwei (Autor), Ye, Yongqiang (Autor), Zhang, Bin (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Advances in Industrial Control,
Temas:
Computational intelligence.
Neural networks (Computer science) .
Artificial intelligence.
Nonlinear Optics.
Computational Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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