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An Introduction To Identification
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Book Synopsis An Introduction to Identification by : J. P. Norton
Download or read book An Introduction to Identification written by J. P. Norton and published by Courier Corporation. This book was released on 2009-01-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suitable for advanced undergraduates and graduate students, this text covers the theoretical basis for mathematical modeling as well as a variety of identification algorithms and their applications. 1986 edition.
Book Synopsis System Identification by : Karel J. Keesman
Download or read book System Identification written by Karel J. Keesman and published by Springer Science & Business Media. This book was released on 2011-05-16 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: System Identification shows the student reader how to approach the system identification problem in a systematic fashion. The process is divided into three basic steps: experimental design and data collection; model structure selection and parameter estimation; and model validation, each of which is the subject of one or more parts of the text. Following an introduction on system theory, particularly in relation to model representation and model properties, the book contains four parts covering: • data-based identification – non-parametric methods for use when prior system knowledge is very limited; • time-invariant identification for systems with constant parameters; • time-varying systems identification, primarily with recursive estimation techniques; and • model validation methods. A fifth part, composed of appendices, covers the various aspects of the underlying mathematics needed to begin using the text. The book uses essentially semi-physical or gray-box modeling methods although data-based, transfer-function system descriptions are also introduced. The approach is problem-based rather than rigorously mathematical. The use of finite input–output data is demonstrated for frequency- and time-domain identification in static, dynamic, linear, nonlinear, time-invariant and time-varying systems. Simple examples are used to show readers how to perform and emulate the identification steps involved in various control design methods with more complex illustrations derived from real physical, chemical and biological applications being used to demonstrate the practical applicability of the methods described. End-of-chapter exercises (for which a downloadable instructors’ Solutions Manual is available from fill in URL here) will both help students to assimilate what they have learned and make the book suitable for self-tuition by practitioners looking to brush up on modern techniques. Graduate and final-year undergraduate students will find this text to be a practical and realistic course in system identification that can be used for assessing the processes of a variety of engineering disciplines. System Identification will help academic instructors teaching control-related to give their students a good understanding of identification methods that can be used in the real world without the encumbrance of undue mathematical detail.
Book Synopsis System Identification by : Rik Pintelon
Download or read book System Identification written by Rik Pintelon and published by John Wiley & Sons. This book was released on 2004-04-05 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrical Engineering System Identification A Frequency Domain Approach How does one model a linear dynamic system from noisy data? This book presents a general approach to this problem, with both practical examples and theoretical discussions that give the reader a sound understanding of the subject and of the pitfalls that might occur on the road from raw data to validated model. The emphasis is on robust methods that can be used with a minimum of user interaction. Readers in many fields of engineering will gain knowledge about: * Choice of experimental setup and experiment design * Automatic characterization of disturbing noise * Generation of a good plant model * Detection, qualification, and quantification of nonlinear distortions * Identification of continuous- and discrete-time models * Improved model validation tools and from the theoretical side about: * System identification * Interrelations between time- and frequency-domain approaches * Stochastic properties of the estimators * Stochastic analysis System Identification: A Frequency Domain Approach is written for practicing engineers and scientists who do not want to delve into mathematical details of proofs. Also, it is written for researchers who wish to learn more about the theoretical aspects of the proofs. Several of the introductory chapters are suitable for undergraduates. Each chapter begins with an abstract and ends with exercises, and examples are given throughout.
Book Synopsis Projective Identification by : Robert Waska
Download or read book Projective Identification written by Robert Waska and published by Routledge. This book was released on 2021-12-12 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This clear and thoughtful book by Robert Waska provides an accessible introduction to Projective Identification and the role it plays in internal and external life. Waska explores how Projective Identification is the foundation for much of psychic life, driving internal phantasy, influencing interpersonal behavior, and contributing to the transference/countertransference environment. This book contains several case studies which explore and expand on the concepts described and which demonstrate how a psychotherapist can understand, contain, and interpret the states patients seek help with. Additionally, this book introduces a clinical technique which is intended to tame the underlying emotional conflicts. Part of the popular Routledge Introductions to Contemporary Psychoanalysis series, this book will be essential to students of psychoanalysis, as well as academics and practitioners familiarising themselves with Projective Identification in a clinical setting.
Book Synopsis Principles of System Identification by : Arun K. Tangirala
Download or read book Principles of System Identification written by Arun K. Tangirala and published by CRC Press. This book was released on 2018-10-08 with total page 881 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification is an interface that is based on observational science, and centers on developing mathematical models from observed data. Principles of System Identification: Theory and Practice is an introductory-level book that presents the basic foundations and underlying methods relevant to system identification. The overall scope of the book focuses on system identification with an emphasis on practice, and concentrates most specifically on discrete-time linear system identification. Useful for Both Theory and Practice The book presents the foundational pillars of identification, namely, the theory of discrete-time LTI systems, the basics of signal processing, the theory of random processes, and estimation theory. It explains the core theoretical concepts of building (linear) dynamic models from experimental data, as well as the experimental and practical aspects of identification. The author offers glimpses of modern developments in this area, and provides numerical and simulation-based examples, case studies, end-of-chapter problems, and other ample references to code for illustration and training. Comprising 26 chapters, and ideal for coursework and self-study, this extensive text: Provides the essential concepts of identification Lays down the foundations of mathematical descriptions of systems, random processes, and estimation in the context of identification Discusses the theory pertaining to non-parametric and parametric models for deterministic-plus-stochastic LTI systems in detail Demonstrates the concepts and methods of identification on different case-studies Presents a gradual development of state-space identification and grey-box modeling Offers an overview of advanced topics of identification namely the linear time-varying (LTV), non-linear, and closed-loop identification Discusses a multivariable approach to identification using the iterative principal component analysis Embeds MATLAB® codes for illustrated examples in the text at the respective points Principles of System Identification: Theory and Practice presents a formal base in LTI deterministic and stochastic systems modeling and estimation theory; it is a one-stop reference for introductory to moderately advanced courses on system identification, as well as introductory courses on stochastic signal processing or time-series analysis.The MATLAB scripts and SIMULINK models used as examples and case studies in the book are also available on the author's website: http://arunkt.wix.com/homepage#!textbook/c397
Book Synopsis Forensic Human Identification by : Tim Thompson
Download or read book Forensic Human Identification written by Tim Thompson and published by CRC Press. This book was released on 2006-11-14 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identity theft, criminal investigations of the dead or missing, mass disasters both by natural causes and by criminal intent with this as our day to day reality, the establishment and verification of human identity has never been more important or more prominent in our society. Maintaining and protecting the integrity of out identity has reached
Book Synopsis Identification for Prediction and Decision by : Charles F. Manski
Download or read book Identification for Prediction and Decision written by Charles F. Manski and published by Harvard University Press. This book was released on 2009-06-30 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions. Inferences predicated on weak assumptions, he argues, can achieve wide consensus, while ones that require strong assumptions almost inevitably are subject to sharp disagreements. Building on the foundation laid in the author's Identification Problems in the Social Sciences (Harvard, 1995), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. Part II concerns the analysis of treatment response, which aims to predict outcomes when alternative treatment rules are applied to a population. Part III studies prediction of choice behavior. Each chapter juxtaposes developments of methodology with empirical or numerical illustrations. The book employs a simple notation and mathematical apparatus, using only basic elements of probability theory.
Book Synopsis The Identification of Fungi by : Frank M. Dugan
Download or read book The Identification of Fungi written by Frank M. Dugan and published by . This book was released on 2006 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This manual covers all groups of fungi and fungus-like organisms and includes over 500 diagrams and line drawings. Descriptions of major groups (phylogenetic and artificial), simplified keys to family, and an illustrated glossary enable placement of common fungi into the appropriate taxonomic category. Text and glossary are coordinated to introduce fundamentals of mycological terminology. Over 30 pages of references are provided for literature on identification of cultures and specimens, and references are also given for contemporary phylogenetic research on each major taxonomic group. Publisher.
Book Synopsis Mastering System Identification in 100 Exercises by : Johan Schoukens
Download or read book Mastering System Identification in 100 Exercises written by Johan Schoukens and published by John Wiley & Sons. This book was released on 2012-04-02 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring complex theoretical knowledge. The contents encompass state-of-the-art system identification methods, with both time and frequency domain system identification methods covered, including the pros and cons of each. Each chapter features MATLAB exercises, discussions of the exercises, accompanying MATLAB downloads, and larger projects that serve as potential assignments in this learn-by-doing resource.
Book Synopsis An Introduction to Identification Problems via Functional Analysis by : Alfredo Lorenzi
Download or read book An Introduction to Identification Problems via Functional Analysis written by Alfredo Lorenzi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2014-07-24 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: this monograph is based on two courses in computational mathematics and operative research, which were given by the author in recent years to doctorate and PhD students. The text focuses on an aspect of the theory of inverse problems, which is usually referred to as identification of parameters (numbers, vectors, matrices, functions) appearing in differential – or integrodifferential – equations. The parameters of such equations are either quite unknown or partially unknown, however knowledge about these is usually essential as they describe the intrinsic properties of the material or substance under consideration.
Book Synopsis Identification Problems in the Social Sciences by : Charles F. Manski
Download or read book Identification Problems in the Social Sciences written by Charles F. Manski and published by Harvard University Press. This book was released on 1995 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author draws on examples from a range of disciplines to provide social and behavioural scientists with a toolkit for finding bounds when predicting behaviours based upon nonexperimental and experimental data.
Book Synopsis Nonlinear System Identification by : Oliver Nelles
Download or read book Nonlinear System Identification written by Oliver Nelles and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.
Book Synopsis Adaptive Nonlinear System Identification by : Tokunbo Ogunfunmi
Download or read book Adaptive Nonlinear System Identification written by Tokunbo Ogunfunmi and published by Springer Science & Business Media. This book was released on 2007-09-05 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.
Book Synopsis The Art of Identification by : Rex Ferguson
Download or read book The Art of Identification written by Rex Ferguson and published by Penn State Press. This book was released on 2021-07-12 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the mid-nineteenth century, there has been a notable acceleration in the development of the techniques used to confirm identity. From fingerprints to photographs to DNA, we have been rapidly amassing novel means of identification, even as personal, individual identity remains a complex chimera. The Art of Identification examines how such processes are entangled within a wider sphere of cultural identity formation. Against the backdrop of an unstable modernity and the rapid rise and expansion of identificatory techniques, this volume makes the case that identity and identification are mutually imbricated and that our best understanding of both concepts and technologies comes through the interdisciplinary analysis of science, bureaucratic infrastructures, and cultural artifacts. With contributions from literary critics, cultural historians, scholars of film and new media, a forensic anthropologist, and a human bioarcheologist, this book reflects upon the relationship between the bureaucratic, scientific, and technologically determined techniques of identification and the cultural contexts of art, literature, and screen media. In doing so, it opens the interpretive possibilities surrounding identification and pushes us to think about it as existing within a range of cultural influences that complicate the precise formulation, meaning, and reception of the concept. In addition to the editors, the contributors to this volume include Dorothy Butchard, Patricia E. Chu, Jonathan Finn, Rebecca Gowland, Liv Hausken, Matt Houlbrook, Rob Lederer, Andrew Mangham, Victoria Stewart, and Tim Thompson.
Book Synopsis Identification of Linear Systems by : J. Schoukens
Download or read book Identification of Linear Systems written by J. Schoukens and published by Elsevier. This book was released on 2014-06-28 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concentrates on the problem of accurate modeling of linear systems. It presents a thorough description of a method of modeling a linear dynamic invariant system by its transfer function. The first two chapters provide a general introduction and review for those readers who are unfamiliar with identification theory so that they have a sufficient background knowledge for understanding the methods described later. The main body of the book looks at the basic method used by the authors to estimate the parameter of the transfer function, how it is possible to optimize the excitation signals. Further chapters extend the estimation method proposed. Applications are then discussed and the book concludes with practical guidelines which illustrate the method and offer some rules-of-thumb.
Book Synopsis Stock Identification Methods by : Steven X. Cadrin
Download or read book Stock Identification Methods written by Steven X. Cadrin and published by Academic Press. This book was released on 2013-10-04 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stock Identification Methods, 2e, continues to provide a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represents the worldwide experience and perspectives of experts on each method, assembled through a working group of the International Council for the Exploration of the Sea. The book is organized to foster interdisciplinary analyses and conclusions about stock structure, a crucial topic for fishery science and management. Technological advances have promoted the development of stock identification methods in many directions, resulting in a confusing variety of approaches. Based on central tenets of population biology and management needs, this valuable resource offers a unified framework for understanding stock structure by promoting an understanding of the relative merits and sensitivities of each approach. - Describes 18 distinct approaches to stock identification grouped into sections on life history traits, environmental signals, genetic analyses, and applied marks - Features experts' reviews of benchmark case studies, general protocols, and the strengths and weaknesses of each identification method - Reviews statistical techniques for exploring stock patterns, testing for differences among putative stocks, stock discrimination, and stock composition analysis - Focuses on the challenges of interpreting data and managing mixed-stock fisheries
Book Synopsis Identification of Nonlinear Physiological Systems by : David T. Westwick
Download or read book Identification of Nonlinear Physiological Systems written by David T. Westwick and published by John Wiley & Sons. This book was released on 2003-08-28 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date. * Enables the reader to use a wide variety of nonlinear system identification techniques. * Offers a thorough treatment of the underlying theory. * Provides a MATLAB toolbox containing implementation of the latest identification methods together with an extensive set of problems using realistic data sets.
