Iterative Learning Control An Optimization Paradigm /

This book develops a coherent theoretical approach to algorithm design for iterative learning control based on the use of optimization concepts. Concentrating initially on linear, discrete-time systems, the author gives the reader access to theories based on either signal or parameter optimization....

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Detaylı Bibliyografya
Yazar: Owens, David H. (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: London : Springer London : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:Advances in Industrial Control,
Konular:
Control engineering.
System theory.
Control theory.
Artificial intelligence.
Machinery.
Robotics.
Automation.
Control and Systems Theory.
Systems Theory, Control.
Artificial Intelligence.
Machinery and Machine Elements.
Control, Robotics, Automation.
Online Erişim:Full-text access
İçindekiler:
  • Iterative Learning Control: Background and Review. Mathematical and Linear Modelling Methodologies
  • Norm Optimal Iterative Learning Control: An Optimal Control Perspective
  • Predicting the Effects of Non-minimum-phase Zeros
  • Predictive Norm Optimal Iterative Learning Control
  • Other Applications of Norm Optimal Iterative Learning Control
  • Successive Projection Algorithms
  • Parameter Optimal Iterative Learning Control
  • Robustness of Parameter Optimal Iterative Learning Control
  • Multi-parameter Optimal Iterative Learning Control
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