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Sunday, August 2, 2020 | History

4 edition of System modeling and identification found in the catalog.

System modeling and identification

Rolf Johansson

System modeling and identification

by Rolf Johansson

  • 171 Want to read
  • 22 Currently reading

Published by Prentice Hall in Englewood Cliffs, NJ .
Written in

    Subjects:
  • System identification -- Mathematical models.

  • Edition Notes

    Includes bibliographical references and index.

    StatementRolf Johansson.
    SeriesPrentice Hall information and system sciences series
    Classifications
    LC ClassificationsQA402 .J62 1993
    The Physical Object
    Paginationxiii, 512 p. :
    Number of Pages512
    ID Numbers
    Open LibraryOL1727828M
    ISBN 100134823087
    LC Control Number92032044

    Industrial Use of System ID • Process control - most developed ID approaches – all plants and processes are different – need to do identification, cannot spend too much time on each – industrial identification tools • Aerospace – white-box identification, specially designed programs of tests • AutomotiveFile Size: KB. This book is an outcome of our teaching system-modeling, dynamics and control through bond graphs for the last fifteen years and its somewhat narrative style is due to a video course (of nearly 38 hours) created by Centre of Education Technology 1.

    It gives the reader an understanding of available system identification methods and their rationales, properties, and uses. This second edition introduces subspace methods, methods that utilize frequency-domain data, and general, nonlinear, black box methods including neural networks and neuro-fuzzy modeling. “Practical” Identification • Given: •Want 1) a model for the plant 2) a model for the noise 3) an estimate of the accuracy • choice of the model structureFile Size: 1MB.

    SYSTEM MODELING AND IDENTIFICATION OF A PRECISION FAST TOOL SERVO SYSTEM S. Rakuff1(student), J. Cuttino1, D. Schinstock2 1Mechanical Engr. and Engr. Science, The University of North Carolina at Charlotte, Charlotte, NC 2Dept. of Mechanical Engineering, Tulsa University, Tulsa, OK Introduction The Laser industry and the contact lens . 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.


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tem under study and noisy time series data. Essentially, system identification is an art of modeling, where appropriate choices have to be made concerning the level of approximation given the final modeling objective and given noisy data.

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Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications.

The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby.

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Developed from a distance learning CPD course on marine control taught by the authors, the book presents the essentials of the subject. The book also gives a comprehensive treatment of system identification, that is, techniques to estimate mathematical models from measured system inputs and outputs.

Both linear and non-linear models are treated, including artificial neural networks.5/5(1). Flight Vehicle System Identification, Second Edition offers a systematic approach to flight vehicle system identification and covers exhaustively the time-domain methodology.

Beginners, as well as practicing engineers, researchers, and working professionals who wish to refresh or broaden their knowledge of flight vehicle system identification, will find this book highly beneficial. – Rolf Johansson, System Modeling and Identification, Prentice Hall Inc., • References – T.

Soderstrom and P Stoica, System Identification, Prectice Hall Inc., – L Ljung, Theory and practice of Recursive Identification, MIT Press, System Modeling and Identification Information and system sciences series Modular Exploration of Technology Series Prentice-Hall information and system sciences series, ISSN Author: Rolf Johansson: Edition: illustrated: Publisher: Prentice Hall, Original from: Pennsylvania State University: Digitized: ISBN.

System Identification: an Introduction shows the (student) reader how to approach the system identification problem in a systematic fashion.

Essentially, system identification is an art of modelling, where appropriate choices have to be made concerning the level of approximation, given prior system’s knowledge, noisy data and the final modelling : Springer-Verlag London.

System Identification is the process of determining the model or the equations of motion for your system. This is incredibly important because basing a. An overview of system modeling and identification (Invited paper) the book presents the methodologies that have been developed and used over.

This book aims to bridge the gap between modeling and control by investigating the fundamental questions of LPV modeling and identi?cation. It explores the missing details of the LPV system theory that have hindered the formu- tion of a well established identi?cation : Springer-Verlag Berlin Heidelberg.

Book Abstract: 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. This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization.

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Additional resources are available to help you learn more about specific aspects of system identification theory and applications.

The following book describes methods for system identification and physical modeling.