Adaptive Control with Recurrent High-order Neural Networks

Author: George A. Rovithakis
Edition: Softcover reprint of the original 1st ed. 2000
Binding: Paperback
ISBN: 1447112016

Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications (Advances in Industrial Control)

The primary purpose of this book is to present a set of techniques which allow the design of controllers able to guarantee stability, convergence and robustness for dynamical systems with unknown nonlinearities and of manufacturing systems. Get Adaptive Control with Recurrent High-order Neural Networks computer books for free.
To compensate for the significant amount of uncertainty in system structure, a neural network model developed recently, namely the Recurrent High Order Neural Network (RHONN), is employed. Real applications are provided with illustrations and tables for clarification; the book contains material on: - RHONN structure and approximation capabilities - indirect adaptive control - direct adaptive control - scheduling for manufacturing systems - test case for scheduling using RHONNs. The book is primarily intended Check Adaptive Control with Recurrent High-order Neural Networks our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Adaptive Control with Recurrent High-order Neural Networks Free

To compensate for the significant amount of uncertainty in system structure, a neural network model developed recently, namely the Recurrent High Order Neural Network (RHONN), is employed The book is primarily intended

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