Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models - Image 1

£86.02

Springer Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models

Name: Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Brand: Springer
Price: 86.02 GBP
Availability: InStock

AI & Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

£86 today · usual range £0–£0 · best ever £80

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 313 days • 313 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 313 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £86 (206 days, 65.8%)

Price range: £80 - £95

Price levels: 5 different prices over 313 days

Description

The goal of this book is to provide engineers and scientIsts in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. The reader will be able to apply the discussed models and methods to real problems with the necessary confidence and the awareness of potential difficulties that may arise in practice. This book is self-contained in the sense that it requires merely basic knowledge of matrix algebra, signals and systems, and statistics. Therefore, it also serves as an introduction to linear system identification and gives a practical overview on the major optimization methods used in engineering. The emphasis of this book is on an intuitive understanding of the subject and the practical application of the discussed techniques. It is not written in a theorem/proof style; rather the mathematics is kept to a minimum and the pursued ideas are illustrated by numerous figures, examples, and real-world applications. Fifteen years ago, nonlinear system identification was a field of several ad-hoc approaches, each applicable only to a very restricted class of systems. With the advent of neural networks, fuzzy models, and modern structure opti mization techniques a much wider class of systems can be handled. Although one major characteristic of nonlinear systems is that almost every nonlinear system is unique, tools have been developed that allow the use of the same ap proach for a broad variety of systems.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642086748
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 December 2010
Listed Since: 01 October 2010

Barcode

No barcode data available

Springer Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Adaptive Learning Methods for Nonlinear System Modeling

Linear Systems Theory (Systems Engineering)

Nonlinear System Techniques and Applications

Nonlinear Identification and Control: A Neural Network Approach (Advances in Industrial Control)

Linear System Theory (Springer Texts in Electrical Engineering)

Linear System Theory (Springer Texts in Electrical Engineering)

Nonlinear System Identification ― Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification: 7 (Mathematical Modelling: Theory and Applications, 7)

Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach

Linear Systems

Representation and Control of Infinite Dimensional Systems (Systems & Control: Foundations & Applications)

Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications

Low-Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering)

State Space and Input-Output Linear Systems

Nonlinear Systems Stability Analysis: Lyapunov-Based Approach

Fundamentals of Linear Systems for Physical Scientists and Engineers

Fundamentals of Linear Systems for Physical Scientists and Engineers

The Mathematics of Networks of Linear Systems (Universitext)

Stability Analysis of Nonlinear Systems (Systems & Control: Foundations & Applications)

Nonlinear Systems and Controls

Optimization and Dynamical Systems (Communications and Control Engineering)

Finite Dimensional Linear Systems (Classics in Applied Mathematics)

Topics in Multidimensional Linear Systems Theory: 256 (Lecture Notes in Control and Information Sciences, 256)

Nonlinear Analysis: 9 (Series in Mathematical Analysis and Applications)

Computer Controlled Systems: Theory and Applications: 8 (Intelligent Systems, Control and Automation: Science and Engineering, 8)