Adaptive Learning Methods for Nonlinear System Modeling

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  • Publisher : Butterworth-Heinemann
  • Release : 11 June 2018
  • ISBN : 9780128129777
  • Page : 388 pages
  • Rating : 4.5/5 from 103 voters

Adaptive Learning Methods for Nonlinear System Modeling Book PDF summary

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.

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Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling
  • Author : Danilo Comminiello,Jose C. Principe
  • Publisher : Butterworth-Heinemann
  • Release Date : 2018-06-11
  • ISBN : 9780128129777
DOWNLOAD BOOKAdaptive Learning Methods for Nonlinear System Modeling

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

Modelling, Simulation and Applications of Complex Systems

Modelling, Simulation and Applications of Complex Systems
  • Author : Mohd Hafiz Mohd,Md Yushalify Misro,Syakila Ahmad,Doanh Nguyen Ngoc
  • Publisher : Springer Nature
  • Release Date : 2021
  • ISBN : 9789811626296
DOWNLOAD BOOKModelling, Simulation and Applications of Complex Systems

This book discusses the latest progresses and developments on complex systems research and intends to give an exposure to prospective readers about the theoretical and practical aspects of mathematical modelling, numerical simulation and agent-based modelling frameworks. The main purpose of this book is to emphasize a unified approach to complex systems analysis, which goes beyond to examine complicated phenomena of numerous real-life systems; this is done by investigating a huge number of components that interact with each other at different (

Concept of Adaptive Filtering & Spline Adaptive Filtering Algorithm

Concept of Adaptive Filtering & Spline Adaptive Filtering Algorithm
  • Author : Shivendra Nandan
  • Publisher : The Shivendra Group
  • Release Date : 2022-08-13
  • ISBN : 0987654321XXX
DOWNLOAD BOOKConcept of Adaptive Filtering & Spline Adaptive Filtering Algorithm

A spline adaptive filter (SAF) based nonlinear active noise control (ANC) system is proposed in this paper. The SAF consists of a linear network of adaptive weights in a cascade with an adaptive nonlinear network. The nonlinear network, in turn consists of an adaptive look-up table followed by a spline interpolation network and forms an adaptive activation function. An update rule has been derived for the proposed ANC system, which not only updates the weights of the linear network, but

The First Outstanding 50 Years of “Università Politecnica delle Marche”

The First Outstanding 50 Years of “Università Politecnica delle Marche”
  • Author : Sauro Longhi,Andrea Monteriù,Alessandro Freddi,Emanuele Frontoni,Michele Germani,Gian Marco Revel
  • Publisher : Springer Nature
  • Release Date : 2019-12-16
  • ISBN : 9783030327620
DOWNLOAD BOOKThe First Outstanding 50 Years of “Università Politecnica delle Marche”

The book describes the significant multidisciplinary research findings at the Università Politecnica delle Marche and the expected future advances. It addresses some of the most dramatic challenges posed by today’s fast-growing, global society and the changes it has caused. It also discusses solutions to improve the wellbeing of human beings. The book covers the main research achievements in the different disciplines of the physical sciences and engineering, as well as several research lines developed at the university’s Faculty

Intelligent Adaptive Control

Intelligent Adaptive Control
  • Author : Lakhmi C. Jain,Clarence W. de Silva
  • Publisher : CRC Press
  • Release Date : 1998-12-29
  • ISBN : 0849398053
DOWNLOAD BOOKIntelligent Adaptive Control

This book describes important techniques, developments, and applications of computational intelligence in system control. Chapters present: an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computing a rigorous treatment of intelligent control industrial applications of intelligent control and soft computing, including transportation, petroleum, motor drive, industrial automation, and fish processing other knowledge-based techniques, including vehicle driving aid and air traffic management Intelligent Adaptive Control provides a state-of-the-art treatment of practical applications of computational intelligence in system control.

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  • Publisher : Springer Nature
  • Release Date : 2021-12-01
  • ISBN : 9783030816193
DOWNLOAD BOOKXIV International Scientific Conference “INTERAGROMASH 2021"

This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision agriculture and agricultural machinery industry. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here are used

Lagrangian and Hamiltonian Methods for Nonlinear Control 2003

Lagrangian and Hamiltonian Methods for Nonlinear Control 2003
  • Author : A Astolfi,Francisco Gordillo,A J Van Der Schaft
  • Publisher : Elsevier
  • Release Date : 2003-10-21
  • ISBN : 0080442781
DOWNLOAD BOOKLagrangian and Hamiltonian Methods for Nonlinear Control 2003

This is the second of a series of IFAC Workshops initiated in 2000. The first one chaired and organized by Profs. N. Leonard and R. Ortega, was held in Princeton in March 2000. This proceedings volume looks at the role-played by Lagrangian and Hamiltonian methods in disciplines such as classical mechanics, quantum mechanics, fluid dynamics, electrodynamics, celestial mechanics and how such methods can be practically applied in the control community. *Presents and illustrates new approaches to nonlinear control that exploit the Lagrangian

Process Neural Networks

Process Neural Networks
  • Author : Xingui He,Shaohua Xu
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-07-05
  • ISBN : 9783540737629
DOWNLOAD BOOKProcess Neural Networks

For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.

AI and Learning Systems

AI and Learning Systems
  • Author : Konstantinos Kyprianidis,Erik Dahlquist
  • Publisher : BoD – Books on Demand
  • Release Date : 2021-02-17
  • ISBN : 9781789858778
DOWNLOAD BOOKAI and Learning Systems

Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information

Latest Trends in Renewable Energy Technologies

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  • Author : Shelly Vadhera,Bhimrao S. Umre,Akhtar Kalam
  • Publisher : Springer Nature
  • Release Date : 2021-07-01
  • ISBN : 9789811611865
DOWNLOAD BOOKLatest Trends in Renewable Energy Technologies

This book presents select proceedings of the National Conference on Renewable Energy and Sustainable Environment (NCRESE 2020) and examines a range of reliable energy-efficient harvesting technologies, their applications and utilization of available alternate energy resources. The topics covered include alternate energy technologies, smart grid topologies and their relevant issues, solar thermal and bio-energy systems, electric vehicles and energy storage systems and its control issues. The book also discusses various properties and performance attributes of advance renewable energy techniques and impact on

Advances in Neural Information Processing Systems 15

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  • Author : Suzanna Becker,Sebastian Thrun,Klaus Obermayer
  • Publisher : MIT Press
  • Release Date : 2003
  • ISBN : 0262025507
DOWNLOAD BOOKAdvances in Neural Information Processing Systems 15

Proceedings of the 2002 Neural Information Processing Systems Conference. The annual Neural Information Processing (NIPS) meeting is the flagship conference on neural computation. The conference draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists--and the presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and applications. Only about thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally

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  • Author : Jingchang Nan,Mingming Gao
  • Publisher : CRC Press
  • Release Date : 2021-07-30
  • ISBN : 9781000409598
DOWNLOAD BOOKNonlinear Modeling Analysis and Predistortion Algorithm Research of Radio Frequency Power Amplifiers

This book is a summary of a series of achievements made by the authors and colleagues in the areas of radio frequency power amplifier modeling (including neural Volterra series modeling, neural network modeling, X-parameter modeling), nonlinear analysis methods, and power amplifier predistortion technology over the past 10 years. The book is organized into ten chapters, which respectively describe an overview of research of power amplifier behavioral models and predistortion technology, nonlinear characteristics of power amplifiers, power amplifier behavioral models and the

Forecasting Models of Electricity Prices

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  • Author : Javier Contreras
  • Publisher : MDPI
  • Release Date : 2018-04-06
  • ISBN : 9783038424154
DOWNLOAD BOOKForecasting Models of Electricity Prices

This book is a printed edition of the Special Issue "Forecasting Models of Electricity Prices" that was published in Energies

Advances in Neural Networks - ISNN 2006

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  • Author : Anonim
  • Publisher : Springer Science & Business Media
  • Release Date : 2006
  • ISBN : 9783540344377
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European Control Conference 1993

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  • Author : Anonim
  • Publisher : European Control Association
  • Release Date : 1993-06-28
  • ISBN : 0987654321XXX
DOWNLOAD BOOKEuropean Control Conference 1993

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