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Book Synopsis A LINEAR MULTI - STAGE METHOD FOR MULTIVARIATE ARMAX PROCESS IDENTIFICATION - PART II: EFFECTIVE STRUCTURE/ PARAMETER ESTIMATION AND PERFORMANCE EVALUATION by :
Download or read book A LINEAR MULTI - STAGE METHOD FOR MULTIVARIATE ARMAX PROCESS IDENTIFICATION - PART II: EFFECTIVE STRUCTURE/ PARAMETER ESTIMATION AND PERFORMANCE EVALUATION written by and published by . This book was released on 1990 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Model-Based Signal Processing by : James V. Candy
Download or read book Model-Based Signal Processing written by James V. Candy and published by John Wiley & Sons. This book was released on 2005-10-27 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique treatment of signal processing using a model-based perspective Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem causing these low levels and extracting the desired information. Model-based signal processing incorporates the physical phenomena, measurements, and noise in the form of mathematical models to solve this problem. Not only does the approach enable signal processors to work directly in terms of the problem's physics, instrumentation, and uncertainties, but it provides far superior performance over the standard techniques. Model-based signal processing is both a modeler's as well as a signal processor's tool. Model-Based Signal Processing develops the model-based approach in a unified manner and follows it through the text in the algorithms, examples, applications, and case studies. The approach, coupled with the hierarchy of physics-based models that the author develops, including linear as well as nonlinear representations, makes it a unique contribution to the field of signal processing. The text includes parametric (e.g., autoregressive or all-pole), sinusoidal, wave-based, and state-space models as some of the model sets with its focus on how they may be used to solve signal processing problems. Special features are provided that assist readers in understanding the material and learning how to apply their new knowledge to solving real-life problems. * Unified treatment of well-known signal processing models including physics-based model sets * Simple applications demonstrate how the model-based approach works, while detailed case studies demonstrate problem solutions in their entirety from concept to model development, through simulation, application to real data, and detailed performance analysis * Summaries provided with each chapter ensure that readers understand the key points needed to move forward in the text as well as MATLAB(r) Notes that describe the key commands and toolboxes readily available to perform the algorithms discussed * References lead to more in-depth coverage of specialized topics * Problem sets test readers' knowledge and help them put their new skills into practice The author demonstrates how the basic idea of model-based signal processing is a highly effective and natural way to solve both basic as well as complex processing problems. Designed as a graduate-level text, this book is also essential reading for practicing signal-processing professionals and scientists, who will find the variety of case studies to be invaluable. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department
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 A LINEAR MULTI-STAGE METHOD FOR MULTICARIATE ARMAX PROCESS IDENTIFICATION-PART:1 THE BASIC FORMS OF THE ESTIMATOR by : S.D. FASSOIS AND /J.E. LEE
Download or read book A LINEAR MULTI-STAGE METHOD FOR MULTICARIATE ARMAX PROCESS IDENTIFICATION-PART:1 THE BASIC FORMS OF THE ESTIMATOR written by S.D. FASSOIS AND /J.E. LEE and published by . This book was released on 1990 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Methods in Control & Signal Processing by : Tohru Katayama
Download or read book Statistical Methods in Control & Signal Processing written by Tohru Katayama and published by CRC Press. This book was released on 1997-08-08 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this work documents developments in statistical modelling, identification, estimation and signal processing. The book covers such topics as subspace methods, stochastic realization, state space modelling, and identification and parameter estimation.
Book Synopsis Automation and Robotics by : Juan-Manuel Ramos-Arreguin
Download or read book Automation and Robotics written by Juan-Manuel Ramos-Arreguin and published by BoD – Books on Demand. This book was released on 2008-05-01 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, a set of relevant, updated and selected papers in the field of automation and robotics are presented. These papers describe projects where topics of artificial intelligence, modeling and simulation process, target tracking algorithms, kinematic constraints of the closed loops, non-linear control, are used in advanced and recent research.
Book Synopsis Process Control by : Jean-Pierre Corriou
Download or read book Process Control written by Jean-Pierre Corriou and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference book can be read at different levels, making it a powerful source of information. It presents most of the aspects of control that can help anyone to have a synthetic view of control theory and possible applications, especially concerning process engineering.
Book Synopsis LINEAR MULTI-STAGE IDENTIFICATION OF ARMAX PROCESSES WITH STOCHASTIC STRUCTURAL DYNAMICS APPLICATIONS. by : JAE-EUNG LEE
Download or read book LINEAR MULTI-STAGE IDENTIFICATION OF ARMAX PROCESSES WITH STOCHASTIC STRUCTURAL DYNAMICS APPLICATIONS. written by JAE-EUNG LEE and published by . This book was released on 1991 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: explained, and the methodology is subsequently utilized for estimated structural model analysis and reduction.
Book Synopsis Load Prediction in Smart Grids with Radiofrequency-Based and other Power Sources: How do Autoregressive Algorithms and Neural Networks Perform by : Jayme Milanezi Junior
Download or read book Load Prediction in Smart Grids with Radiofrequency-Based and other Power Sources: How do Autoregressive Algorithms and Neural Networks Perform written by Jayme Milanezi Junior and published by AYA Editora. This book was released on 2024-05-02 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este livro analisa uma pesquisa realizada entre 2012 e 2014 sobre previsão de carga elétrica com três fontes de energia inovadoras: reciclagem de luz interna, enguias elétricas e energia de irradiação EM de antenas RF. Originada da dissertação de mestrado da Universidade de Brasília, intitulada “Previsão Espaço-Temporal dos Sistemas de Energia Elétrica Incluindo Fontes de Energia Renováveis Emergentes”, a obra rediscute esses vetores energéticos alternativos e explora ferramentas de previsão para carga elétrica. Destaca-se a análise de séries temporais e espaciais, empregando métodos matemáticos e algoritmos, incluindo modelos autoregressivos e redes neurais artificiais. O foco especial é dado à seção sobre colheita de energia RF, identificada como a mais promissora entre as fontes estudadas. O livro, intitulado “Previsão de Carga em Redes Inteligentes com Fontes de Energia Baseadas em Radiofrequência e Outras”, apresenta essas tecnologias emergentes como alternativas viáveis na geração de energia.
Book Synopsis Signal Analysis and Prediction by : Ales Prochazka
Download or read book Signal Analysis and Prediction written by Ales Prochazka and published by Springer Science & Business Media. This book was released on 1998-12-23 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods of signal analysis represent a broad research topic with applications in many disciplines, including engineering, technology, biomedicine, seismography, eco nometrics, and many others based upon the processing of observed variables. Even though these applications are widely different, the mathematical background be hind them is similar and includes the use of the discrete Fourier transform and z-transform for signal analysis, and both linear and non-linear methods for signal identification, modelling, prediction, segmentation, and classification. These meth ods are in many cases closely related to optimization problems, statistical methods, and artificial neural networks. This book incorporates a collection of research papers based upon selected contri butions presented at the First European Conference on Signal Analysis and Predic tion (ECSAP-97) in Prague, Czech Republic, held June 24-27, 1997 at the Strahov Monastery. Even though the Conference was intended as a European Conference, at first initiated by the European Association for Signal Processing (EURASIP), it was very gratifying that it also drew significant support from other important scientific societies, including the lEE, Signal Processing Society of IEEE, and the Acoustical Society of America. The organizing committee was pleased that the re sponse from the academic community to participate at this Conference was very large; 128 summaries written by 242 authors from 36 countries were received. In addition, the Conference qualified under the Continuing Professional Development Scheme to provide PD units for participants and contributors.
Book Synopsis International Financial Markets by : Julien Chevallier
Download or read book International Financial Markets written by Julien Chevallier and published by Routledge. This book was released on 2019-06-28 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an up-to-date series of advanced chapters on applied financial econometric techniques pertaining the various fields of commodities finance, mathematics & stochastics, international macroeconomics and financial econometrics. International Financial Markets: Volume I provides a key repository on the current state of knowledge, the latest debates and recent literature on international financial markets. Against the background of the "financialization of commodities" since the 2008 sub-primes crisis, section one contains recent contributions on commodity and financial markets, pushing the frontiers of applied econometrics techniques. The second section is devoted to exchange rate and current account dynamics in an environment characterized by large global imbalances. Part three examines the latest research in the field of meta-analysis in economics and finance. This book will be useful to students and researchers in applied econometrics; academics and students seeking convenient access to an unfamiliar area. It will also be of great interest established researchers seeking a single repository on the current state of knowledge, current debates and relevant literature.
Book Synopsis Model-Based Processing by : James V. Candy
Download or read book Model-Based Processing written by James V. Candy and published by John Wiley & Sons. This book was released on 2019-03-19 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system identification in control systems Model-Based Processing: An Applied Subspace Identification Approach provides expert insight on developing models for designing model-based signal processors (MBSP) employing subspace identification techniques to achieve model-based identification (MBID) and enables readers to evaluate overall performance using validation and statistical analysis methods. Focusing on subspace approaches to system identification problems, this book teaches readers to identify models quickly and incorporate them into various processing problems including state estimation, tracking, detection, classification, controls, communications, and other applications that require reliable models that can be adapted to dynamic environments. The extraction of a model from data is vital to numerous applications, from the detection of submarines to determining the epicenter of an earthquake to controlling an autonomous vehicles—all requiring a fundamental understanding of their underlying processes and measurement instrumentation. Emphasizing real-world solutions to a variety of model development problems, this text demonstrates how model-based subspace identification system identification enables the extraction of a model from measured data sequences from simple time series polynomials to complex constructs of parametrically adaptive, nonlinear distributed systems. In addition, this resource features: Kalman filtering for linear, linearized, and nonlinear systems; modern unscented Kalman filters; as well as Bayesian particle filters Practical processor designs including comprehensive methods of performance analysis Provides a link between model development and practical applications in model-based signal processing Offers in-depth examination of the subspace approach that applies subspace algorithms to synthesized examples and actual applications Enables readers to bridge the gap from statistical signal processing to subspace identification Includes appendices, problem sets, case studies, examples, and notes for MATLAB Model-Based Processing: An Applied Subspace Identification Approach is essential reading for advanced undergraduate and graduate students of engineering and science as well as engineers working in industry and academia.
Book Synopsis Fuzzy Systems and Knowledge Discovery by : Lipo Wang
Download or read book Fuzzy Systems and Knowledge Discovery written by Lipo Wang and published by Springer Science & Business Media. This book was released on 2006-09-19 with total page 1362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, held in federation with the Second International Conference on Natural Computation ICNC 2006. The book presents 115 revised full papers and 50 revised short papers. Coverage includes neural computation, quantum computation, evolutionary computation, DNA computation, fuzzy computation, granular computation, artificial life, innovative applications to knowledge discovery, finance, operations research, and more.
Book Synopsis Integrated Uncertainty in Knowledge Modelling and Decision Making by : Van-Nam Huynh
Download or read book Integrated Uncertainty in Knowledge Modelling and Decision Making written by Van-Nam Huynh and published by Springer. This book was released on 2016-11-21 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016, held in Da Nang, Vietnam, in November/December 2016. The IUKM symposia aim to provide a forum for exchanges of research results and ideas, and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
Book Synopsis Advances in Smart Grid and Renewable Energy by : Sabyasachi SenGupta
Download or read book Advances in Smart Grid and Renewable Energy written by Sabyasachi SenGupta and published by Springer. This book was released on 2017-10-25 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises select proceedings of ETAEERE-2016. The volume offers state-of-the-art chapters on energy management systems (EMS), renewable energy resources, micro-generation, green communications architectures and frameworks, green computing and education as well as energy-aware process optimization. The contents covers a wide variety of topics and aspects including management of renewable energy systems and environmental challenges. The contents of this volume will be useful to researchers and practicing engineers working in the areas of smart grids and renewable energy generation, distribution, and management.
Book Synopsis Linear Stochastic Systems by : Peter E. Caines
Download or read book Linear Stochastic Systems written by Peter E. Caines and published by SIAM. This book was released on 2018-06-12 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear Stochastic Systems, originally published in 1988, is today as comprehensive a reference to the theory of linear discrete-time-parameter systems as ever. Its most outstanding feature is the unified presentation, including both input-output and state space representations of stochastic linear systems, together with their interrelationships. The author first covers the foundations of linear stochastic systems and then continues through to more sophisticated topics including the fundamentals of stochastic processes and the construction of stochastic systems; an integrated exposition of the theories of prediction, realization (modeling), parameter estimation, and control; and a presentation of stochastic adaptive control theory. Written in a clear, concise manner and accessible to graduate students, researchers, and teachers, this classic volume also includes background material to make it self-contained and has complete proofs for all the principal results of the book. Furthermore, this edition includes many corrections of errata collected over the years.
Book Synopsis 11th Mediterranean Conference on Medical and Biological Engineering and Computing 2007 by : Tomaz Jarm
Download or read book 11th Mediterranean Conference on Medical and Biological Engineering and Computing 2007 written by Tomaz Jarm and published by Springer Science & Business Media. This book was released on 2007-10-24 with total page 1183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical engineering brings together bright minds from diverse disciplines, ranging from engineering, physics, and computer science to biology and medicine. This book contains the proceedings of the 11th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2007, held in Ljubljana, Slovenia, June 2007. It features relevant, up-to-date research in the area.
