Model Identification And Data Analysis

Model Identification And Data Analysis Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Model Identification And Data Analysis book. This book definitely worth reading, it is an incredibly well-written.

Model Identification and Data Analysis

Sergio Bittanti
Model Identification and Data Analysis Book PDF

Author : Sergio Bittanti
Publisher : John Wiley & Sons
Page : 443 pages
File Size : 53,7 Mb
Release : 2019-03-20
Category : Technology & Engineering
ISBN : 9781119546313

Get Book

Model Identification and Data Analysis by Sergio Bittanti Pdf

This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from black-box model identification to parameter estimation, from spectral analysis to predictive control. Written for graduate students, this textbook offers an approach that has proven successful throughout the many years during which its author has taught these topics at his University. The book: Contains accessible methods explained step-by-step in simple terms Offers an essential tool useful in a variety of fields, especially engineering, statistics, and mathematics Includes an overview on random variables and stationary processes, as well as an introduction to discrete time models and matrix analysis Incorporates historical commentaries to put into perspective the developments that have brought the discipline to its current state Provides many examples and solved problems to complement the presentation and facilitate comprehension of the techniques presented

Model Identification and Data Analysis

Sergio Bittanti
Model Identification and Data Analysis Book PDF

Author : Sergio Bittanti
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 52,6 Mb
Release : 2019-04-02
Category : Technology & Engineering
ISBN : 9781119546368

Get Book

Model Identification and Data Analysis by Sergio Bittanti Pdf

This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from black-box model identification to parameter estimation, from spectral analysis to predictive control. Written for graduate students, this textbook offers an approach that has proven successful throughout the many years during which its author has taught these topics at his University. The book: Contains accessible methods explained step-by-step in simple terms Offers an essential tool useful in a variety of fields, especially engineering, statistics, and mathematics Includes an overview on random variables and stationary processes, as well as an introduction to discrete time models and matrix analysis Incorporates historical commentaries to put into perspective the developments that have brought the discipline to its current state Provides many examples and solved problems to complement the presentation and facilitate comprehension of the techniques presented

ARMA Model Identification

ByoungSeon Choi
ARMA Model Identification Book PDF

Author : ByoungSeon Choi
Publisher : Springer Science & Business Media
Page : 211 pages
File Size : 54,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461397458

Get Book

ARMA Model Identification by ByoungSeon Choi Pdf

During the last two decades, considerable progress has been made in statistical time series analysis. The aim of this book is to present a survey of one of the most active areas in this field: the identification of autoregressive moving-average models, i.e., determining their orders. Readers are assumed to have already taken one course on time series analysis as might be offered in a graduate course, but otherwise this account is self-contained. The main topics covered include: Box-Jenkins' method, inverse autocorrelation functions, penalty function identification such as AIC, BIC techniques and Hannan and Quinn's method, instrumental regression, and a range of pattern identification methods. Rather than cover all the methods in detail, the emphasis is on exploring the fundamental ideas underlying them. Extensive references are given to the research literature and as a result, all those engaged in research in this subject will find this an invaluable aid to their work.

Selected Papers of Hirotugu Akaike

Emanuel Parzen,Kunio Tanabe,Genshiro Kitagawa
Selected Papers of Hirotugu Akaike Book PDF

Author : Emanuel Parzen,Kunio Tanabe,Genshiro Kitagawa
Publisher : Springer Science & Business Media
Page : 432 pages
File Size : 40,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461216940

Get Book

Selected Papers of Hirotugu Akaike by Emanuel Parzen,Kunio Tanabe,Genshiro Kitagawa Pdf

The pioneering research of Hirotugu Akaike has an international reputation for profoundly affecting how data and time series are analyzed and modelled and is highly regarded by the statistical and technological communities of Japan and the world. His 1974 paper "A new look at the statistical model identification" (IEEE Trans Automatic Control, AC-19, 716-723) is one of the most frequently cited papers in the area of engineering, technology, and applied sciences (according to a 1981 Citation Classic of the Institute of Scientific Information). It introduced the broad scientific community to model identification using the methods of Akaike's criterion AIC. The AIC method is cited and applied in almost every area of physical and social science. The best way to learn about the seminal ideas of pioneering researchers is to read their original papers. This book reprints 29 papers of Akaike's more than 140 papers. This book of papers by Akaike is a tribute to his outstanding career and a service to provide students and researchers with access to Akaike's innovative and influential ideas and applications. To provide a commentary on the career of Akaike, the motivations of his ideas, and his many remarkable honors and prizes, this book reprints "A Conversation with Hirotugu Akaike" by David F. Findley and Emanuel Parzen, published in 1995 in the journal Statistical Science. This survey of Akaike's career provides each of us with a role model for how to have an impact on society by stimulating applied researchers to implement new statistical methods.

Fuzzy Model Identification

Hans Hellendoorn,Dimiter Driankov
Fuzzy Model Identification Book PDF

Author : Hans Hellendoorn,Dimiter Driankov
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 43,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642607677

Get Book

Fuzzy Model Identification by Hans Hellendoorn,Dimiter Driankov Pdf

During the past few years two principally different approaches to the design of fuzzy controllers have emerged: heuristics-based design and model-based design. The main motivation for the heuristics-based design is given by the fact that many industrial processes are still controlled in one of the following two ways: - The process is controlled manually by an experienced operator. - The process is controlled by an automatic control system which needs manual, on-line 'trimming' of its parameters by an experienced operator. In both cases it is enough to translate in terms of a set of fuzzy if-then rules the operator's manual control algorithm or manual on-line 'trimming' strategy in order to obtain an equally good, or even better, wholly automatic fuzzy control system. This implies that the design of a fuzzy controller can only be done after a manual control algorithm or trimming strategy exists. It is admitted in the literature on fuzzy control that the heuristics-based approach to the design of fuzzy controllers is very difficult to apply to multiple-inputjmultiple-output control problems which represent the largest part of challenging industrial process control applications. Furthermore, the heuristics-based design lacks systematic and formally verifiable tuning tech niques. Also, studies of the stability, performance, and robustness of a closed loop system incorporating a heuristics-based fuzzy controller can only be done via extensive simulations.

Identification of Continuous-time Models from Sampled Data

Hugues Garnier,Liuping Wang
Identification of Continuous time Models from Sampled Data Book PDF

Author : Hugues Garnier,Liuping Wang
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 43,8 Mb
Release : 2008-03-13
Category : Technology & Engineering
ISBN : 9781848001619

Get Book

Identification of Continuous-time Models from Sampled Data by Hugues Garnier,Liuping Wang Pdf

This is the first book dedicated to direct continuous-time model identification for 15 years. It cuts down on time spent hunting through journals by providing an overview of much recent research in an increasingly busy field. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB® can be used for direct time-domain identification of continuous-time systems. This is a valuable reference for a broad audience.

Principles of Neural Model Identification, Selection and Adequacy

Achilleas Zapranis,Apostolos-Paul N. Refenes
Principles of Neural Model Identification Selection and Adequacy Book PDF

Author : Achilleas Zapranis,Apostolos-Paul N. Refenes
Publisher : Springer Science & Business Media
Page : 194 pages
File Size : 47,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447105596

Get Book

Principles of Neural Model Identification, Selection and Adequacy by Achilleas Zapranis,Apostolos-Paul N. Refenes Pdf

Neural networks have had considerable success in a variety of disciplines including engineering, control, and financial modelling. However a major weakness is the lack of established procedures for testing mis-specified models and the statistical significance of the various parameters which have been estimated. This is particularly important in the majority of financial applications where the data generating processes are dominantly stochastic and only partially deterministic. Based on the latest, most significant developments in estimation theory, model selection and the theory of mis-specified models, this volume develops neural networks into an advanced financial econometrics tool for non-parametric modelling. It provides the theoretical framework required, and displays the efficient use of neural networks for modelling complex financial phenomena. Unlike most other books in this area, this one treats neural networks as statistical devices for non-linear, non-parametric regression analysis.

Model Identification and Adaptive Control

Graham Goodwin
Model Identification and Adaptive Control Book PDF

Author : Graham Goodwin
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 40,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447107118

Get Book

Model Identification and Adaptive Control by Graham Goodwin Pdf

This book is based on a workshop entitled.: Model " Identification and Adap tive Control: From Windsurfing to Telecommunications" held in Sydney, Aus tralia, on December 16, 2000. The workshop was organized in honour of Pro fessor Brian (BDO) Anderson in recognition of his seminal contributions to systems science over the past 4 decades. . The chapters in the book have been written by colleagues, friends and stu dents of Brian Anderson. A central theme of the book is the inter relationship between identification and the use of models in real world applications. This theme has underpinned much of Brian Anderson's own contributions. The book reflects on these contributions as well as makirig important statements about possible future research directions. The subtitle of the book (From Windsurfing to Telecommunications) rec ognizes the fact that many common life experiences, such as those we en counter when learning to ride a windsurfer are models for design methods that can be used on real world advanced technological control problems. In deed, Brian Anderson extensively explored this link in his research work.

Measure

National Aeronautics and Space Administration (NASA)
Measure Book PDF

Author : National Aeronautics and Space Administration (NASA)
Publisher : Createspace Independent Publishing Platform
Page : 50 pages
File Size : 54,9 Mb
Release : 2018-07-07
Category : Electronic
ISBN : 1722360372

Get Book

Measure by National Aeronautics and Space Administration (NASA) Pdf

The first phase of the development of MEASURE, an integrated data analysis and model identification facility is described. The facility takes system activity data as input and produces as output representative behavioral models of the system in near real time. In addition a wide range of statistical characteristics of the measured system are also available. The usage of the system is illustrated on data collected via software instrumentation of a network of SUN workstations at the University of Illinois. Initially, statistical clustering is used to identify high density regions of resource-usage in a given environment. The identified regions form the states for building a state-transition model to evaluate system and program performance in real time. The model is then solved to obtain useful parameters such as the response-time distribution and the mean waiting time in each state. A graphical interface which displays the identified models and their characteristics (with real time updates) was also developed. The results provide an understanding of the resource-usage in the system under various workload conditions. This work is targeted for a testbed of UNIX workstations with the initial phase ported to SUN workstations on the NASA, Ames Research Center Advanced Automation Testbed. Singh, Jaidip and Iyer, Ravi K. Unspecified Center NCA2-301; NAG1-613...

Identification for Automotive Systems

Daniel Alberer,Håkan Hjalmarsson,Luigi del Re
Identification for Automotive Systems Book PDF

Author : Daniel Alberer,Håkan Hjalmarsson,Luigi del Re
Publisher : Springer Science & Business Media
Page : 360 pages
File Size : 52,6 Mb
Release : 2011-12-09
Category : Technology & Engineering
ISBN : 9781447122203

Get Book

Identification for Automotive Systems by Daniel Alberer,Håkan Hjalmarsson,Luigi del Re Pdf

Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.

Cluster Analysis for Data Mining and System Identification

János Abonyi,Balázs Feil
Cluster Analysis for Data Mining and System Identification Book PDF

Author : János Abonyi,Balázs Feil
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 43,9 Mb
Release : 2007-08-10
Category : Mathematics
ISBN : 9783764379889

Get Book

Cluster Analysis for Data Mining and System Identification by János Abonyi,Balázs Feil Pdf

The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.

System Identification (SYSID '03)

Paul Van Den Hof,Bo Wahlberg,Siep Weiland
System Identification SYSID 03 Book PDF

Author : Paul Van Den Hof,Bo Wahlberg,Siep Weiland
Publisher : Elsevier
Page : 2080 pages
File Size : 52,6 Mb
Release : 2004-06-29
Category : Science
ISBN : 0080437095

Get Book

System Identification (SYSID '03) by Paul Van Den Hof,Bo Wahlberg,Siep Weiland Pdf

The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.

Advances in Computational Intelligence

Ignacio Rojas,Gonzalo Joya,Andreu Catala
Advances in Computational Intelligence Book PDF

Author : Ignacio Rojas,Gonzalo Joya,Andreu Catala
Publisher : Springer
Page : 926 pages
File Size : 46,8 Mb
Release : 2019-06-05
Category : Computers
ISBN : 9783030205188

Get Book

Advances in Computational Intelligence by Ignacio Rojas,Gonzalo Joya,Andreu Catala Pdf

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.

An Introduction to Identification

J. P. Norton
An Introduction to Identification Book PDF

Author : J. P. Norton
Publisher : Courier Corporation
Page : 322 pages
File Size : 54,8 Mb
Release : 2009-01-01
Category : Mathematics
ISBN : 9780486469355

Get Book

An Introduction to Identification by J. P. Norton Pdf

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.