Nonlinear System Identification with Applications to Space Weather Prediction

Nonlinear System Identification with Applications to Space Weather Prediction PDF Author: Harish J. Palanthandalam-Madapusi
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 432

Get Book

Book Description

Nonlinear System Identification with Applications to Space Weather Prediction

Nonlinear System Identification with Applications to Space Weather Prediction PDF Author: Harish J. Palanthandalam-Madapusi
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 432

Get Book

Book Description


Machine Learning Techniques for Space Weather

Machine Learning Techniques for Space Weather PDF Author: Enrico Camporeale
Publisher: Elsevier
ISBN: 0128117893
Category : Science
Languages : en
Pages : 454

Get Book

Book Description
Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks and clustering algorithms. Offering practical techniques for translating the huge amount of information hidden in data into useful knowledge that allows for better prediction, this book is a unique and important resource for space physicists, space weather professionals and computer scientists in related fields. Collects many representative non-traditional approaches to space weather into a single volume Covers, in an accessible way, the mathematical background that is not often explained in detail for space scientists Includes free software in the form of simple MATLABĀ® scripts that allow for replication of results in the book, also familiarizing readers with algorithms

Identification and System Parameter Estimation 1982

Identification and System Parameter Estimation 1982 PDF Author: G. A. Bekey
Publisher: Elsevier
ISBN: 1483165787
Category : Technology & Engineering
Languages : en
Pages : 868

Get Book

Book Description
Identification and System Parameter Estimation 1982 covers the proceedings of the Sixth International Federation of Automatic Control (IFAC) Symposium. The book also serves as a tribute to Dr. Naum S. Rajbman. The text covers issues concerning identification and estimation, such as increasing interrelationships between identification/estimation and other aspects of system theory, including control theory, signal processing, experimental design, numerical mathematics, pattern recognition, and information theory. The book also provides coverage regarding the application and problems faced by several engineering and scientific fields that use identification and estimation, such as biological systems, traffic control, geophysics, aeronautics, robotics, economics, and power systems. Researchers from all scientific fields will find this book a great reference material, since it presents topics that concern various disciplines.

Applications of statistical methods and machine learning in the space sciences

Applications of statistical methods and machine learning in the space sciences PDF Author: Bala Poduval
Publisher: Frontiers Media SA
ISBN: 2832520588
Category : Science
Languages : en
Pages : 203

Get Book

Book Description


Integrated Systems, Design and Technology 2010

Integrated Systems, Design and Technology 2010 PDF Author: Madjid Fathi
Publisher: Springer Science & Business Media
ISBN: 3642173845
Category : Technology & Engineering
Languages : en
Pages : 350

Get Book

Book Description
Knowledge creation and technological experiences resulting from modern production life cycles are definitely the most Economical and important intellectual capitals in the current manufacturing endeavors. These are also the basis for enabling industrial competition through managing and identifying organizational and product related needs and opportunities; e. g. health care systems society needs clean environment, sustainable production life cycles needs flexible approachable design and engineering of materials whilst valuable materials are needed for renewable energies and the production of fuel cells. Integration of components, design of structures and managing knowledge inherent in engineering is a difficult and complex endeavor. A wide range of advanced technologies such as smart materials and their approaches in alternative energy have to be invoked in providing assistance for knowledge requirements ranging from acquisition, modeling, (re)using, retrieving, sharing, publishing and maintaining of knowledge. Integration, Design and management with regards to knowledge management originates at least on three roots.

Nonlinear Identification and Adaptive Control

Nonlinear Identification and Adaptive Control PDF Author: Dennis S. Bernstein
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 46

Get Book

Book Description


Nonlinear System Identification

Nonlinear System Identification PDF Author: Stephen A. Billings
Publisher: John Wiley & Sons
ISBN: 1119943590
Category : Technology & Engineering
Languages : en
Pages : 611

Get Book

Book Description
Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains. This book is written with an emphasis on making the algorithms accessible so that they can be applied and used in practice. Includes coverage of: The NARMAX (nonlinear autoregressive moving average with exogenous inputs) model The orthogonal least squares algorithm that allows models to be built term by term where the error reduction ratio reveals the percentage contribution of each model term Statistical and qualitative model validation methods that can be applied to any model class Generalised frequency response functions which provide significant insight into nonlinear behaviours A completely new class of filters that can move, split, spread, and focus energy The response spectrum map and the study of sub harmonic and severely nonlinear systems Algorithms that can track rapid time variation in both linear and nonlinear systems The important class of spatio-temporal systems that evolve over both space and time Many case study examples from modelling space weather, through identification of a model of the visual processing system of fruit flies, to tracking causality in EEG data are all included to demonstrate how easily the methods can be applied in practice and to show the insight that the algorithms reveal even for complex systems NARMAX algorithms provide a fundamentally different approach to nonlinear system identification and signal processing for nonlinear systems. NARMAX methods provide models that are transparent, which can easily be analysed, and which can be used to solve real problems. This book is intended for graduates, postgraduates and researchers in the sciences and engineering, and also for users from other fields who have collected data and who wish to identify models to help to understand the dynamics of their systems.

Nonlinear System Identification

Nonlinear System Identification PDF Author: Stephen A. Billings
Publisher: John Wiley & Sons
ISBN: 1118535553
Category : Technology & Engineering
Languages : en
Pages : 611

Get Book

Book Description
Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains. This book is written with an emphasis on making the algorithms accessible so that they can be applied and used in practice. Includes coverage of: The NARMAX (nonlinear autoregressive moving average with exogenous inputs) model The orthogonal least squares algorithm that allows models to be built term by term where the error reduction ratio reveals the percentage contribution of each model term Statistical and qualitative model validation methods that can be applied to any model class Generalised frequency response functions which provide significant insight into nonlinear behaviours A completely new class of filters that can move, split, spread, and focus energy The response spectrum map and the study of sub harmonic and severely nonlinear systems Algorithms that can track rapid time variation in both linear and nonlinear systems The important class of spatio-temporal systems that evolve over both space and time Many case study examples from modelling space weather, through identification of a model of the visual processing system of fruit flies, to tracking causality in EEG data are all included to demonstrate how easily the methods can be applied in practice and to show the insight that the algorithms reveal even for complex systems NARMAX algorithms provide a fundamentally different approach to nonlinear system identification and signal processing for nonlinear systems. NARMAX methods provide models that are transparent, which can easily be analysed, and which can be used to solve real problems. This book is intended for graduates, postgraduates and researchers in the sciences and engineering, and also for users from other fields who have collected data and who wish to identify models to help to understand the dynamics of their systems.

Computational Science and Its Applications - ICCSA 2008

Computational Science and Its Applications - ICCSA 2008 PDF Author: Osvaldo Gervasi
Publisher: Springer Science & Business Media
ISBN: 3540698388
Category : Computers
Languages : en
Pages : 1283

Get Book

Book Description
The two-volume set LNCS 5072 and 5073 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2008, held in Perugia, Italy, in June/July, 2008. The two volumes contain papers presenting a wealth of original research results in the field of computational science, from foundational issues in computer science and mathematics to advanced applications in virtually all sciences making use of computational techniques. The topics of the fully refereed papers are structured according to the five major conference themes: computational methods, algorithms and scientific applications, high performance technical computing and networks, advanced and emerging applications, geometric modelling, graphics and visualization, as well as information systems and information technologies. Moreover, submissions from more than 20 workshops and technical sessions in the areas, such as embedded systems, geographical analysis, computational geometry, computational geomatics, computer graphics, virtual reality, computer modeling, computer algebra, mobile communications, wireless networks, computational forensics, data storage, information security, web learning, software engineering, computational intelligence, digital security, biometrics, molecular structures, material design, ubiquitous computing, symbolic computations, web systems and intelligence, and e-education contribute to this publication.

Technology for Large Space Systems

Technology for Large Space Systems PDF Author:
Publisher:
ISBN:
Category : Large space structures (Astronautics)
Languages : en
Pages : 460

Get Book

Book Description