Combined Parametric Nonparametric Identification Of Block Oriented Systems
DOWNLOAD eBooks
Download Combined Parametric Nonparametric Identification Of Block Oriented Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Combined Parametric Nonparametric Identification Of Block Oriented Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Combined Parametric Nonparametric Identification Of Block Oriented Systems
DOWNLOAD eBooks
Author : Grzegorz Mzyk
language : en
Publisher: Springer
Release Date : 2013-11-27
Combined Parametric Nonparametric Identification Of Block Oriented Systems written by Grzegorz Mzyk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-27 with Technology & Engineering categories.
This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments.
Combined Parametric Nonparametric Identification Of Block Oriented Systems
DOWNLOAD eBooks
Author : Grzegorz Mzyk
language : en
Publisher: Springer
Release Date : 2013-11-20
Combined Parametric Nonparametric Identification Of Block Oriented Systems written by Grzegorz Mzyk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-20 with Technology & Engineering categories.
This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments.
Nonparametric System Identification
DOWNLOAD eBooks
Author : Wlodzimierz Greblicki
language : en
Publisher: Cambridge University Press
Release Date : 2012-10-04
Nonparametric System Identification written by Wlodzimierz Greblicki and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-04 with Technology & Engineering categories.
Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this books shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphasis on Hammerstein, Wiener systems, and their multidimensional extensions, the authors show how to identify nonlinear subsystems and their characteristics when limited information exists. Algorithms using trigonometric, Legendre, Laguerre, and Hermite series are investigated, and the kernel algorithm, its semirecursive versions, and fully recursive modifications are covered. The theories of modern non-parametric regression, approximation, and orthogonal expansions, along with new approaches to system identification (including semiparametric identification), are provided. Detailed information about all tools used is provided in the appendices. This book is for researchers and practitioners in systems theory, signal processing, and communications and will appeal to researchers in fields like mechanics, economics, and biology, where experimental data are used to obtain models of systems.
Nonparametric System Identification
DOWNLOAD eBooks
Author : Wlodzimierz Greblicki
language : en
Publisher:
Release Date : 2014-05-14
Nonparametric System Identification written by Wlodzimierz Greblicki and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Science categories.
Block Oriented Nonlinear System Identification
DOWNLOAD eBooks
Author : Fouad Giri
language : en
Publisher: Springer
Release Date : 2010-09-22
Block Oriented Nonlinear System Identification written by Fouad Giri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-22 with Technology & Engineering categories.
Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques; stochastic and frequency approaches; support-vector-machine, subspace, and separable-least-squares methods; blind identification method; bounded-error method; and decoupling inputs approach. The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the important issues e.g., input design, persistent excitation, and consistency analysis, are discussed. The practical relevance of block-oriented models is illustrated through biomedical/physiological system modelling. The book will be of major interest to all those who are concerned with nonlinear system identification whatever their activity areas. This is particularly the case for educators in electrical, mechanical, chemical and biomedical engineering and for practising engineers in process, aeronautic, aerospace, robotics and vehicles control. Block-oriented Nonlinear System Identification serves as a reference for active researchers, new comers, industrial and education practitioners and graduate students alike.
Nonparametric System Identification
DOWNLOAD eBooks
Author : Włodzimierz Greblicki
language : en
Publisher:
Release Date : 2008
Nonparametric System Identification written by Włodzimierz Greblicki and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Mathematical optimization categories.
Advanced Technologies For Industrial Applications
DOWNLOAD eBooks
Author : Rohit Thanki
language : en
Publisher: Springer Nature
Release Date : 2023-06-27
Advanced Technologies For Industrial Applications written by Rohit Thanki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-27 with Technology & Engineering categories.
This book provides information on advanced communication technology used in Industry 4.0 and 5.0. The book covers a variety of technologies such as signal processing, system designing, computer vision, and artificial intelligence and explains their benefits, usage, and market values in Industry 4.0 and 5.0. The authors present technological tools for industrial applications and give examples of their usage of system design, modeling, artificial intelligence, internet of things and robotics. This book covers the impact of these technologies in various industrial applications and provides future technological tools that will be helpful in future planning and development. The book is pertinent to researchers, academics, professionals, planners, and student’s interest in Industry 5.0.
Stochastic Models Statistics And Their Applications
DOWNLOAD eBooks
Author : Ansgar Steland
language : en
Publisher: Springer
Release Date : 2015-02-04
Stochastic Models Statistics And Their Applications written by Ansgar Steland and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-04 with Mathematics categories.
This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few. This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.
Reliability And Statistics In Transportation And Communication
DOWNLOAD eBooks
Author : Igor Kabashkin
language : en
Publisher: Springer Nature
Release Date : 2020-03-28
Reliability And Statistics In Transportation And Communication written by Igor Kabashkin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-28 with Technology & Engineering categories.
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 16 – 19, 2019. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.
Theory And Engineering Of Dependable Computer Systems And Networks
DOWNLOAD eBooks
Author : Wojciech Zamojski
language : en
Publisher: Springer Nature
Release Date : 2021-05-26
Theory And Engineering Of Dependable Computer Systems And Networks written by Wojciech Zamojski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-26 with Technology & Engineering categories.
This book contains papers on selected aspects of dependability analysis in computer systems and networks, which were chosen for discussion during the 16th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 28 to July 2, 2021. Their collection will be a valuable source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also—the most dynamically evolving ones), organization of contemporary computer systems cannot be interpreted only as structures built on the basis of (unreliable) technical resources. Their evaluation must take into account a specific blend of interacting people (their needs and behaviours), networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Ever-growing number of research methods being continuously developed for dependability analyses apply the newest techniques of artificial and computational intelligence. Selection of papers in these proceedings illustrates diversity of multi-disciplinary topics which are considered in present-day dependability explorations.