Adaptive Learning Methods for Nonlinear System Modeling - Image 1

£106.89

Butterworth-Heinemann Adaptive Learning Methods for Nonlinear System Modeling

Name: Adaptive Learning Methods for Nonlinear System Modeling
Brand: Butterworth-Heinemann
Price: 106.89 GBP
Availability: InStock

Beginners & Introduction

Same price for 5 weeks. Today is much like next week.

£107 for 38 days straight · last change was Jan 2026

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 628 days • 628 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 628 days • 4 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £68-78 (313 days, 49.8%)

Price range: £68 - £115

Price levels: 4 price ranges over 628 days

Description

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems.

Product Specifications

Brand: Butterworth-Heinemann
Format: paperback
ASIN: 012812976X
Category: Books > Subjects > Computing & Internet > Databases > Beginners & Introduction
Domain: Amazon UK
Release Date: 29 June 2018
Listed Since: 09 November 2017

Barcode

No barcode data available

Butterworth-Heinemann Adaptive Learning Methods for Nonlinear System Modeling

Same price for 5 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® (Advances in Industrial Control)

Stable Adaptive Neural Network Control: 13 (The International Series on Asian Studies in Computer and Information Science, 13)

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

Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research (Springer Theses)

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities: 2 (Engineering Systems and Sustainability)

Proceedings of 2020 Chinese Intelligent Systems Conference: Volume I: 705 (Lecture Notes in Electrical Engineering, 705)

Advances in Systems Science: Proceedings of the International Conference on Systems Science 2016 (ICSS 2016): 539 (Advances in Intelligent Systems and Computing, 539)

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

Learning Algorithms: Theory and Applications in Signal Processing, Control and Communications

Advances in Diagnostics of Processes and Systems: Selected Papers from the 14th International Conference on Diagnostics of Processes and Systems ... in Systems, Decision and Control, 313)

Robust and Adaptive Control: With Aerospace Applications (Advanced Textbooks in Control and Signal Processing)

Applied and Computational Control, Signals, and Circuits: Volume 1

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

Proceedings of 2019 Chinese Intelligent Systems Conference: Volume II: 593 (Lecture Notes in Electrical Engineering, 593)

Proceedings of 2019 Chinese Intelligent Systems Conference: Volume II: 593 (Lecture Notes in Electrical Engineering, 593)

Handbook of Research on Computational Intelligence Applications in Bioinformatics (Advances in Bioinformatics and Biomedical Engineering)

Springer Proceedings of 2019 Chinese Intelligent Systems Conf

Control of Complex Systems: Theory and Applications

AETA 2016: Recent Advances in Electrical Engineering and Related Sciences: Theory and Application: 415 (Lecture Notes in Electrical Engineering, 415)

Proceedings of 2019 Chinese Intelligent Systems Conference: Volume III: 594 (Lecture Notes in Electrical Engineering, 594)

Proceedings of 2019 Chinese Intelligent Systems Conference: Volume I: 592 (Lecture Notes in Electrical Engineering, 592)

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems (Emerging Methodologies and Applications in Modelling, Identification and Control)

Informatics in Control Automation and Robotics: Revised and Selected Papers from the International Conference on Informatics in Control Automation and Robotics 2009

Communication-Protocol-Based Filtering and Control of Networked Systems: 430 (Studies in Systems, Decision and Control, 430)