---
product_id: 63509159
title: "Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook (Advanced Textbooks in Control and Signal Processing)"
price: "Rp4904041"
currency: IDR
in_stock: true
reviews_count: 2
url: https://www.desertcart.id/products/63509159-neural-networks-for-modelling-and-control-of-dynamic-systems-practitioner
store_origin: ID
region: Indonesia
---

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

**Price:** Rp4904041
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook (Advanced Textbooks in Control and Signal Processing)
- **How much does it cost?** Rp4904041 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.id](https://www.desertcart.id/products/63509159-neural-networks-for-modelling-and-control-of-dynamic-systems-practitioner)

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## Description

The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perceptron, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations. The subjects treated include: System identification: multilayer perceptrons; how to conduct informative experiments; model structure selection; training methods; model validation; pruning algorithms. Control: direct inverse, internal model, feedforward, optimal and predictive control; feedback linearization and instantaneous-linearization-based controllers. Case studies: prediction of sunspot activity; modelling of a hydraulic actuator; control of a pneumatic servomechanism; water-level control in a conical tank. The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component.

Review: Nunca llego - De repente me llego un correo de que habían tenido un problema con el envió y que me regresaban mi dinero.
Review: Toolbox for Neural Net System Identification - The book is straight forward and useful. However, I would like to see more examples using MATLAB.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Customer Reviews | 3.4 out of 5 stars 5 Reviews |

## Images

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## Customer Reviews

### ⭐ Nunca llego
*by J***S on 30 April 2018*

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

### ⭐⭐⭐⭐ Toolbox for Neural Net System Identification
*by T***N on 11 September 2005*

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

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*Product available on Desertcart Indonesia*
*Store origin: ID*
*Last updated: 2026-07-03*