Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling
Author :
Publisher : Butterworth-Heinemann
Total Pages : 390
Release :
ISBN-10 : 9780128129777
ISBN-13 : 0128129778
Rating : 4/5 (778 Downloads)

Book Synopsis Adaptive Learning Methods for Nonlinear System Modeling by : Danilo Comminiello

Download or read book Adaptive Learning Methods for Nonlinear System Modeling written by Danilo Comminiello and published by Butterworth-Heinemann. This book was released on 2018-06-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. - Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. - Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. - Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.


Adaptive Learning Methods for Nonlinear System Modeling Related Books

Adaptive Learning Methods for Nonlinear System Modeling
Language: en
Pages: 390
Authors: Danilo Comminiello
Categories: Technology & Engineering
Type: BOOK - Published: 2018-06-11 - Publisher: Butterworth-Heinemann

GET EBOOK

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for no
Sampled-Data Models for Linear and Nonlinear Systems
Language: en
Pages: 288
Authors: Juan I. Yuz
Categories: Technology & Engineering
Type: BOOK - Published: 2013-10-17 - Publisher: Springer Science & Business Media

GET EBOOK

Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather th
Artificial Neural Networks for Modelling and Control of Non-Linear Systems
Language: en
Pages: 242
Authors: Johan A.K. Suykens
Categories: Technology & Engineering
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear sys
Linear and Nonlinear System Modeling
Language: en
Pages: 245
Authors: Tamal Roy
Categories: Technology & Engineering
Type: BOOK - Published: 2024-10-08 - Publisher: John Wiley & Sons

GET EBOOK

Written and edited by a team of experts in the field, this exciting new volume presents the cutting-edge techniques, latest trends, and state-of-the-art practic
Nonlinear system identification. 1. Nonlinear system parameter identification
Language: en
Pages: 432
Authors: Robert Haber
Categories: Nonlinear theories
Type: BOOK - Published: 1999 - Publisher: Springer Science & Business Media

GET EBOOK