Dynamic System Identification Experiment Design And Data Analysis
DOWNLOAD
Download Dynamic System Identification Experiment Design And Data Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Dynamic System Identification Experiment Design And Data Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Dynamic System Identification Experiment Design And Data Analysis
DOWNLOAD
Author : Goodwin
language : en
Publisher: Academic Press
Release Date : 1977-11-10
Dynamic System Identification Experiment Design And Data Analysis written by Goodwin and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977-11-10 with Computers categories.
Dynamic System Identification: Experiment Design and Data Analysis
Dynamic System Identification
DOWNLOAD
Author : G. C. Goodwin
language : en
Publisher:
Release Date :
Dynamic System Identification written by G. C. Goodwin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Identification Of Dynamic Systems
DOWNLOAD
Author : Rolf Isermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-22
Identification Of Dynamic Systems written by Rolf Isermann 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 2010-11-22 with Technology & Engineering categories.
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.
Dynamic Feature Space Modelling Filtering And Self Tuning Control Of Stochastic Systems
DOWNLOAD
Author : Pieter W. Otter
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Dynamic Feature Space Modelling Filtering And Self Tuning Control Of Stochastic Systems written by Pieter W. Otter 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 Business & Economics categories.
The literature on systems seems to have been growing almost expo nentially during the last decade and one may question whether there is need for another book. In the author's view, most of the literature on 'systems' is either technical in mathematical sense or technical ifF engineering sense (with technical words such as noise, filtering etc. ) and not easily accessible to researchers is other fields, in particular not to economists, econometricians and quantitative researchers in so cial sciences. This is unfortunate, because achievements in the rather 'young' science of system theory and system engineering are of impor tance for modelling, estimation and regulation (control) problems in other branches of science. State space mode~iing; the concept of ob servability and controllability; the mathematical formulations of sta bility; the so-called canonical forms; prediction error e~timation; optimal control and Kalman filtering are some examples of results of system theory and system engineering which proved to be successful in practice. A brief summary of system theoretical concepts is given in Chapter II where an attempt has been made to translate the concepts in to the more 'familiar' language used in econometrics and social sciences by means of examples. By interrelating concepts and results from system theory with those from econometrics and social sciences, the author has attempted to narrow the gap between the more technical sciences such as engi neering and social sciences and econometrics, and to contribute to either side.
Introduction To Mathematical Systems Theory
DOWNLOAD
Author : Christiaan Heij
language : en
Publisher: Springer Nature
Release Date : 2021-02-17
Introduction To Mathematical Systems Theory written by Christiaan Heij and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Science categories.
This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering. The focus is on discrete time systems, which are the most relevant in business applications, as opposed to continuous time systems, requiring less mathematical preliminaries. The subjects treated are among the central topics of deterministic linear system theory: controllability, observability, realization theory, stability and stabilization by feedback, LQ-optimal control theory. Kalman filtering and LQC-control of stochastic systems are also discussed, as are modeling, time series analysis and model specification, along with model validation. This second edition has been updated and slightly expanded. In addition, supplementary material containing the exercises is now available on the Springer Link's book website.
Testing And Validation Of Computer Simulation Models
DOWNLOAD
Author : David J. Murray-Smith
language : en
Publisher: Springer
Release Date : 2015-10-08
Testing And Validation Of Computer Simulation Models written by David J. Murray-Smith and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-08 with Computers categories.
This must-read text/reference provides a practical guide to processes involved in the development and application of dynamic simulation models, covering a wide range of issues relating to testing, verification and validation. Illustrative example problems in continuous system simulation are presented throughout the book, supported by extended case studies from a number of interdisciplinary applications. Topics and features: provides an emphasis on practical issues of model quality and validation, along with questions concerning the management of simulation models, the use of model libraries, and generic models; contains numerous step-by-step examples; presents detailed case studies, often with accompanying datasets; includes discussion of hybrid models, which involve a combination of continuous system and discrete-event descriptions; examines experimental modeling approaches that involve system identification and parameter estimation; offers supplementary material at an associated website.
Model Identification And Adaptive Control
DOWNLOAD
Author : Graham Goodwin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Model Identification And Adaptive Control written by Graham Goodwin 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 Technology & Engineering categories.
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.
Model Free Adaptive Control
DOWNLOAD
Author : Zhongsheng Hou
language : en
Publisher: CRC Press
Release Date : 2013-09-24
Model Free Adaptive Control written by Zhongsheng Hou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-24 with Computers categories.
Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and ou
Distributed Computer Control Systems In Industrial Automation
DOWNLOAD
Author : Dobrivojie Popovic
language : en
Publisher: Routledge
Release Date : 2017-11-22
Distributed Computer Control Systems In Industrial Automation written by Dobrivojie Popovic and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Technology & Engineering categories.
A reference guide for professionals or text for graduate and postgraduate students, this volume emphasizes practical designs and applications of distributed computer control systems. It demonstrates how to improve plant productivity, enhance product quality, and increase the safety, reliability, and
Random Vibration And Statistical Linearization
DOWNLOAD
Author : John Brian Roberts
language : en
Publisher: Courier Corporation
Release Date : 2003-12-09
Random Vibration And Statistical Linearization written by John Brian Roberts and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-12-09 with Technology & Engineering categories.
This self-contained volume explains the general method of statistical linearization and its use in solving random vibration problems. Numerous examples show advanced undergraduate and graduate students many practical applications. 1990 edition.