Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
An Introduction To Identification
Download An Introduction To Identification full books in PDF, epub, and Kindle. Read online An Introduction To Identification ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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 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 544 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 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 Advanced Process Identification and Control by : Enso Ikonen
Download or read book Advanced Process Identification and Control written by Enso Ikonen and published by CRC Press. This book was released on 2001-10-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable systems.
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 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 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 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 908 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 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 Subspace Methods for System Identification by : Tohru Katayama
Download or read book Subspace Methods for System Identification written by Tohru Katayama and published by Springer Science & Business Media. This book was released on 2005-10-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts. Part I deals with the mathematical preliminaries: numerical linear algebra; system theory; stochastic processes; and Kalman filtering. Part II explains realization theory as applied to subspace identification. Stochastic realization results based on spectral factorization and Riccati equations, and on canonical correlation analysis for stationary processes are included. Part III demonstrates the closed-loop application of subspace identification methods. Subspace Methods for System Identification is an excellent reference for researchers and a useful text for tutors and graduate students involved in control and signal processing courses. It can be used for self-study and will be of interest to applied scientists or engineers wishing to use advanced methods in modeling and identification of complex systems.
Book Synopsis Identification of Dynamic Systems by : Rolf Isermann
Download or read book Identification of Dynamic Systems written by Rolf Isermann and published by Springer. This book was released on 2011-04-08 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators up to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book. Among others, the book covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.
Book Synopsis An Introduction to Identification Problems Via Functional Analysis by : A. Lorenzi
Download or read book An Introduction to Identification Problems Via Functional Analysis written by A. Lorenzi and published by VSP. This book was released on 2001-01-01 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: this monographis 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 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 The Psychology of Person Identification by : Brian R. Clifford
Download or read book The Psychology of Person Identification written by Brian R. Clifford and published by Routledge. This book was released on 2017-03-27 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1978, the laws and procedures governing person identification parades, photofit pictures and the forms of questions asked to obtain a description, had been increasingly called into question. The problem had been highlighted by several well publicised court cases, and considered by the Devlin Committee. This book reviews the status of psychological knowledge at the time concerning the many aspects of person identification and scientifically evaluates the methods and procedures used. Contrary to the popular belief that identification is a simple affair, the authors use the theory and method of psychology to reveal the sources of the difficulties involved in recognising a once-seen person. Estimates of just how good a witness can be are drawn from laboratory studies using face photographs, from mock crime incidents, and from actual criminal cases, for reliability varies markedly in each of these three situations. Both an individual and a social perspective is taken of the eye-witnesses, and research into perception and memory, together with individual differences in such things as cognitive style, personality, suggestibility, age, sex, and ability to form both eidetic and memory images, are examined. The social aspects of stereotypes, the presence of other witnesses and the desire to be a ‘good witness’ are all discussed at length. Finally an extended examination of the possibility of voice parades and changes in identification procedures, together with man-machine interaction techniques, is undertaken.
Download or read book Identity Crisis written by Jim Harper and published by Cato Institute. This book was released on 2006-05-25 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advance of identification technology-biometrics, identity cards, surveillance, databases, dossiers-threatens privacy, civil liberties, and related human interests. Since the terrorist attacks of September 11, 2001, demands for identification in the name of security have increased. In this insightful book, Jim Harper takes readers inside identification-a process everyone uses every day but few people have ever thought about. Using stories and examples from movies, television, and classic literature, Harper dissects identification processes and technologies, showing how identification works when it works and how it fails when it fails. Harper exposes the myth that identification can protect against future terrorist attacks. He shows that a U.S. national identification card, created by Congress in the REAL ID Act, is a poor way to secure the country or its citizens. A national ID represents a transfer of power from individuals to institutions, and that transfer threatens liberty, enables identity fraud, and subjects people to unwanted surveillance. Instead of a uniform, government-controlled identification system, Harper calls for a competitive, responsive identification and credentialing industry that meets the mix of consumer demands for privacy, security, anonymity, and accountability. Identification should be a risk-reducing strategy in a social system, Harper concludes, not a rivet to pin humans to governmental or economic machinery.
Book Synopsis Station Identification by : Ari Y. Kelman
Download or read book Station Identification written by Ari Y. Kelman and published by Univ of California Press. This book was released on 2009-05-27 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the culture of Yiddish radio in the United States during radio's golden age.
