Iterative Learning Control for Deterministic Systems is popular PDF and ePub book, written by Kevin L. Moore in 2012-12-06, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Iterative Learning Control for Deterministic Systems can be Read Online from any device for your convenience.

Iterative Learning Control for Deterministic Systems Book PDF Summary

The material presented in this book addresses the analysis and design of learning control systems. It begins with an introduction to the concept of learning control, including a comprehensive literature review. The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem. Additionally, several design methods are given for LTI learning control, incorporating a technique based on parameter estimation and a one-step learning control algorithm for finite-horizon problems. Further chapters focus upon learning control for deterministic nonlinear systems, and a time-varying learning controller is presented which can be applied to a class of nonlinear systems, including the models of typical robotic manipulators. The book concludes with the application of artificial neural networks to the learning control problem. Three specific ways to neural nets for this purpose are discussed, including two methods which use backpropagation training and reinforcement learning. The appendices in the book are particularly useful because they serve as a tutorial on artificial neural networks.

Detail Book of Iterative Learning Control for Deterministic Systems PDF

Iterative Learning Control for Deterministic Systems
  • Author : Kevin L. Moore
  • Release : 06 December 2012
  • Publisher : Springer Science & Business Media
  • ISBN : 9781447119128
  • Genre : Technology & Engineering
  • Total Page : 158 pages
  • Language : English
  • PDF File Size : 18,9 Mb

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