Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook (Advanced Textbooks in Control and Signal Processing)

The book is straight forward and useful. However, I would like to see more examples using MATLAB.

Much of the book might already be familiar to a reader involved with neural networks. The authors give a recap of decades of progress into using multilayer networks in a feedback mode. Key sections of the text discuss the weighting of the nodes and how you can realistically compute these weights.But the emphasis differs from most existing texts on neural networks. Here, the authors explain how you might control a dynamical system that could exhibit pronounced nonlinearities. The book is pitched towards someone from control systems theory. The latter has been highly developed, to handle both linear and nonlinear systems. However, if you consult standard texts on control systems, neural networks rarely (if ever) garner a mention. This book tries to correct that deficiency.

This is an excellent book. It contains theory and essential exaples for system identification and control based on ANN approach. The authors have also a WEB site where additional information and the toolboxes (MATLAB format) can be found.The programs work an they are easy to understand and run.I first tried the toolboxes (the user manuals are included with the toolboxes) and then ordered the book. It is worth having both. I highly recommend it, specially if you are a newbie in ANN but need a fast start.Cheers!

De repente me llego un correo de que habían tenido un problema con el envió y que me regresaban mi dinero.

El producto estaba mal impreso, regrese el producto a Amazon y Amazon me regreso el dinero, fin de la historia.