Theory And Practice Of Recursive Identification

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Theory And Practice Of Recursive Identification

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Author : Lennart Ljung
language : en
Publisher:
Release Date : 1983

Theory And Practice Of Recursive Identification written by Lennart Ljung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with categories.

Theory And Practice Of Recursive Identification

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Author : Lennart Ljung
language : en
Publisher:
Release Date : 1987

Theory And Practice Of Recursive Identification written by Lennart Ljung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.

System Identification

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Author : Lennart Ljung
language : en
Publisher: Pearson Education
Release Date : 1998-12-29

System Identification written by Lennart Ljung and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-12-29 with Technology & Engineering categories.

The field's leading text, now completely updated. Modeling dynamical systems — theory, methodology, and applications. Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-fuzzy modeling. The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB. Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. He introduces both black-box and tailor-made models of linear as well as non-linear systems, and he describes principles, properties, and algorithms for a variety of identification techniques: Nonparametric time-domain and frequency-domain methods. Parameter estimation methods in a general prediction error setting. Frequency domain data and frequency domain interpretations. Asymptotic analysis of parameter estimates. Linear regressions, iterative search methods, and other ways to compute estimates. Recursive (adaptive) estimation techniques. Ljung also presents detailed coverage of the key issues that can make or break system identification projects, such as defining objectives, designing experiments, controlling the bias distribution of transfer-function estimates, and carefully validating the resulting models. The first edition of System Identification has been the field's most widely cited reference for over a decade. This new edition will be the new text of choice for anyone concerned with system identification theory and practice.

An Introduction To Identification

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Author : J. P. Norton
language : en
Publisher: Courier Corporation
Release Date : 2009-01-01

An Introduction To Identification written by J. P. Norton and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-01 with Mathematics categories.

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.

System Identification

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Author : Rik Pintelon
language : en
Publisher: John Wiley & Sons
Release Date : 2012-04-04

System Identification written by Rik Pintelon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-04 with Science categories.

System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering. Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach. It high??lights many of the important steps in the identification process, points out the possible pitfalls to the reader, and illustrates the powerful tools that are available. Readers of this Second Editon will benefit from: MATLAB software support for identifying multivariable systems that is freely available at the website http://booksupport.wiley.com State-of-the-art system identification methods for both time and frequency domain data New chapters on non-parametric and parametric transfer function modeling using (non-)period excitations Numerous examples and figures that facilitate the learning process A simple writing style that allows the reader to learn more about the theo??retical aspects of the proofs and algorithms Unlike other books in this field, System Identification, Second Edition is ideal for practicing engineers, scientists, researchers, and both master's and PhD students in electrical, mechanical, civil, and chemical engineering.

Concise Encyclopedia Of Traffic And Transportation Systems

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Author : M. Papageorgiou
language : en
Publisher: Elsevier
Release Date : 2013-10-22

Concise Encyclopedia Of Traffic And Transportation Systems written by M. Papageorgiou and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Business & Economics categories.

The vast expansion of transportation systems on land, sea and in the air throughout the twentieth century has allowed for the development of economic, social and political connections across the globe undreamed of by our ancestors. However, this expansion has brought with it familiar problems such as airport delays and gridlock in our major cities. Fortunately, parallel progress in system science and information technology can provide us with the appropriate tools for rational and efficient solutions to our exponentially increasing transportation demands. This encyclopedia addresses the analysis, modelling and control of today's and tomorrow's traffic and transportation systems in a concise, comprehensive single volume. Well over 100 articles have been specially commissioned, or revised from the acclaimed Systems & Control Encyclopedia, to provide an overview of and first reference to models, control methods and practical aspects of all forms of traffic and transportation systems with a particular emphasis on efficient utilization of available infrastructure, plus a consideration of their historical, organizational, economic and social impacts. The Concise Encyclopedia of Traffic & Transportation Systems will be essential for professional and academic scientists and engineers in any discipline concerned with the movement of people and materials.

Nonlinearity In Structural Dynamics

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Author : K Worden
language : en
Publisher: CRC Press
Release Date : 2019-04-23

Nonlinearity In Structural Dynamics written by K Worden and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-23 with Science categories.

Many types of engineering structures exhibit nonlinear behavior under real operating conditions. Sometimes the unpredicted nonlinear behavior of a system results in catastrophic failure. In civil engineering, grandstands at sporting events and concerts may be prone to nonlinear oscillations due to looseness of joints, friction, and crowd movements.

Stability And Control Of Dynamical Systems With Applications

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Author : Derong Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Stability And Control Of Dynamical Systems With Applications written by Derong Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.

It is with great pleasure that I offer my reflections on Professor Anthony N. Michel's retirement from the University of Notre Dame. I have known Tony since 1984 when he joined the University of Notre Dame's faculty as Chair of the Depart ment of Electrical Engineering. Tony has had a long and outstanding career. As a researcher, he has made im portant contributions in several areas of systems theory and control theory, espe cially stability analysis of large-scale dynamical systems. The numerous awards he received from the professional societies, particularly the Institute of Electrical and Electronics Engineers (IEEE), are a testament to his accomplishments in research. He received the IEEE Control Systems Society's Best Transactions Paper Award (1978), and the IEEE Circuits and Systems Society's Guillemin-Cauer Prize Paper Award (1984) and Myril B. Reed Outstanding Paper Award (1993), among others. In addition, he was a Fulbright Scholar (1992) and received the Alexander von Hum boldt Forschungspreis (Alexander von Humboldt Research Award for Senior U.S. Scientists) from the German government (1997). To date, he has written eight books and published over 150 archival journal papers. Tony is also an effective administrator who inspires high academic standards.

Lessons In Estimation Theory For Signal Processing Communications And Control

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Author : Jerry M. Mendel
language : en
Publisher: Pearson Education
Release Date : 1995-03-14

Lessons In Estimation Theory For Signal Processing Communications And Control written by Jerry M. Mendel and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-03-14 with Technology & Engineering categories.

Estimation theory is a product of need and technology. As a result, it is an integral part of many branches of science and engineering. To help readers differentiate among the rich collection of estimation methods and algorithms, this book describes in detail many of the important estimation methods and shows how they are interrelated. Written as a collection of lessons, this book introduces readers o the general field of estimation theory and includes abundant supplementary material.

Model Based Signal Processing

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Author : James V. Candy
language : en
Publisher: John Wiley & Sons
Release Date : 2005-10-27

Model Based Signal Processing written by James V. Candy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-27 with Technology & Engineering categories.

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