Modeling And Identification Of Dynamic Systems Exercises

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Modeling and Identification of Dynamic Systems - Exercises

Author : Peter Lindskog,Torkel Glad,Lennart Ljung,Jacob Roll
Publisher : Unknown
Page : 320 pages
File Size : 46,7 Mb
Release : 2018-06-08
Category : Electronic
ISBN : 9144127898

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Modeling and Identification of Dynamic Systems - Exercises by Peter Lindskog,Torkel Glad,Lennart Ljung,Jacob Roll Pdf

This book contains examples and exercises with modeling problems together with complete solutions. The contents is tailored to the book Ljung-Glad: Modeling and Identification of Dynamic Systems (Studentlitteratur, 2016). The exercises are of different levels of difficulty and cover general modeling principles (such as bond graphs) as well as practical tools like Modelica and Simscape. System identification, model and signal properties are also covered together with basic techniques for simulation. Most of the problems deal with issues from industrial applications, but also economic, social and medical cases are covered. The text requires certain knowledge in linear algebra, signal and systems and basic familiarity with physics and statistics. The computer exercises assume access to basic software such as Matlab and Simulink, and to some extent Modelica/Dymola/Simscape. The book is suitable for Master level courses in engineering, but also for practicing engineers.

Mastering System Identification in 100 Exercises

Author : Johan Schoukens,Rik Pintelon,Yves Rolain
Publisher : John Wiley & Sons
Page : 285 pages
File Size : 50,7 Mb
Release : 2012-04-02
Category : Technology & Engineering
ISBN : 9781118218501

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Mastering System Identification in 100 Exercises by Johan Schoukens,Rik Pintelon,Yves Rolain Pdf

This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring complex theoretical knowledge. The contents encompass state-of-the-art system identification methods, with both time and frequency domain system identification methods covered, including the pros and cons of each. Each chapter features MATLAB exercises, discussions of the exercises, accompanying MATLAB downloads, and larger projects that serve as potential assignments in this learn-by-doing resource.

Modeling of Dynamic Systems

Author : Lennart Ljung,Torkel Glad
Publisher : Prentice Hall
Page : 0 pages
File Size : 47,6 Mb
Release : 1994
Category : Computer simulation
ISBN : 0135970970

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Modeling of Dynamic Systems by Lennart Ljung,Torkel Glad Pdf

Written by a recognized authority in the field of identification and control, this book draws together into a single volume the important aspects of system identification AND physical modelling. KEY TOPICS: Explores techniques used to construct mathematical models of systems based on knowledge from physics, chemistry, biology, etc. (e.g., techniques with so called bond-graphs, as well those which use computer algebra for the modeling work). Explains system identification techniques used to infer knowledge about the behavior of dynamic systems based on observations of the various input and output signals that are available for measurement. Shows how both types of techniques need to be applied in any given practical modeling situation. Considers applications, primarily simulation. MARKET: For practicing engineers who are faced with problems of modeling.

Modelling and Parameter Estimation of Dynamic Systems

Author : J.R. Raol,G. Girija,J. Singh
Publisher : IET
Page : 405 pages
File Size : 54,9 Mb
Release : 2004-08-13
Category : Mathematics
ISBN : 9780863413636

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Modelling and Parameter Estimation of Dynamic Systems by J.R. Raol,G. Girija,J. Singh Pdf

This book presents a detailed examination of the estimation techniques and modeling problems. The theory is furnished with several illustrations and computer programs to promote better understanding of system modeling and parameter estimation.

Modeling, Identification, and Simulation of Dynamical Systems

Author : Paul P. J. Bosch
Publisher : Unknown
Page : 195 pages
File Size : 50,8 Mb
Release : 1994
Category : TECHNOLOGY
ISBN : 0138746877

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Modeling, Identification, and Simulation of Dynamical Systems by Paul P. J. Bosch Pdf

This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics.Techniques for solving general nonlinear optimization problems as they arise in identification and many synthesis and design methods are detailed. The main points in deriving mathematical models via prior knowledge concerning the physics describing a system are emphasized. Several chapters discuss the identification of black-box models. Simulation is introduced as a numerical tool for calculating time responses of almost any mathematical model. The last chapter covers optimization, a generally applicable tool for formulating and solving many engineering problems.

Understanding Dynamic Systems

Author : C. Nelson Dorny
Publisher : Unknown
Page : 682 pages
File Size : 50,8 Mb
Release : 1993
Category : Technology & Engineering
ISBN : UOM:39015029450452

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Understanding Dynamic Systems by C. Nelson Dorny Pdf

A textbook that embraces the whole of engineering in a unified context, promoting system thinking by breaking down unnecessary barriers between disciplines. The six chapters address design insights, lumped-network models of systems, lumped-network behavior, equivalence and superposition in linear networks, frequency-response models, and coupling devices. The author uses the text for a two- semester first course in engineering; it has also been used as an integrative course for seniors, primarily in mechanical engineering. Annotation copyright by Book News, Inc., Portland, OR

Identification of Dynamic Systems

Author : Rolf Isermann,Marco Münchhof
Publisher : Springer
Page : 0 pages
File Size : 46,8 Mb
Release : 2014-11-23
Category : Technology & Engineering
ISBN : 3642422675

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Identification of Dynamic Systems by Rolf Isermann,Marco Münchhof Pdf

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 Systems

Author : Craig A. Kluever
Publisher : John Wiley & Sons
Page : 480 pages
File Size : 43,6 Mb
Release : 2020-06-23
Category : Technology & Engineering
ISBN : 9781119723479

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Dynamic Systems by Craig A. Kluever Pdf

The simulation of complex, integrated engineering systems is a core tool in industry which has been greatly enhanced by the MATLAB® and Simulink® software programs. The second edition of Dynamic Systems: Modeling, Simulation, and Control teaches engineering students how to leverage powerful simulation environments to analyze complex systems. Designed for introductory courses in dynamic systems and control, this textbook emphasizes practical applications through numerous case studies—derived from top-level engineering from the AMSE Journal of Dynamic Systems. Comprehensive yet concise chapters introduce fundamental concepts while demonstrating physical engineering applications. Aligning with current industry practice, the text covers essential topics such as analysis, design, and control of physical engineering systems, often composed of interacting mechanical, electrical, and fluid subsystem components. Major topics include mathematical modeling, system-response analysis, and feedback control systems. A wide variety of end-of-chapter problems—including conceptual problems, MATLAB® problems, and Engineering Application problems—help students understand and perform numerical simulations for integrated systems.

State Models of Dynamic Systems

Author : N.H. McClamroch
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 53,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461260875

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State Models of Dynamic Systems by N.H. McClamroch Pdf

The purpose of this book is to expose undergraduate students to the use of applied mathematics and physical argument as a basis for developing an understanding of the response characteristics, from a systems viewpoint, of a broad class of dynamic physical processes. This book was developed for use in the course ECE 355, Dynamic Systems and Modeling, in the Department of Electrical and Computer Engineering at the University of Michigan, Ann Arbor. The course ECE 355 has been elected primarily by junior and senior level students in computer engineering or in electrical engineering. Occasionally a student from outside these two programs elected the course. Thus the book is written with this class of students in mind. It is assumed that the reader has previous background in mathematics through calculus, differential equations, and Laplace transforms, in elementary physics, and in elemen tary mechanics and circuits. Although these prerequisites indicate the orientation of the material, the book should be accessible and of interest to students with a much wider spectrum of experience in applied mathemati cal topics. The subject matter of the book can be considered to form an introduc tion to the theory of mathematical systems presented from a modern, as opposed to a classical, point of view. A number of physical processes are examined where the underlying systems concepts can be clearly seen and grasped. The organization of the book around case study examples has evolved as a consequence of student suggestions.

Modeling and Analysis of Dynamic Systems

Author : Charles M. Close,Dean K. Frederick
Publisher : Unknown
Page : 708 pages
File Size : 47,6 Mb
Release : 1993
Category : Mathematics
ISBN : STANFORD:36105009781894

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Modeling and Analysis of Dynamic Systems by Charles M. Close,Dean K. Frederick Pdf

This text is intended for a first course in dynamic systems and is designed for use by sophomore and junior majors in all fields of engineering, but principally mechanical and electrical engineers. All engineers must understand how dynamic systems work and what responses can be expected from various physical systems.

Modeling and Analysis of Dynamic Systems

Author : Ramin S. Esfandiari,Bei Lu
Publisher : CRC Press
Page : 555 pages
File Size : 53,8 Mb
Release : 2018-01-29
Category : Technology & Engineering
ISBN : 9781351751643

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Modeling and Analysis of Dynamic Systems by Ramin S. Esfandiari,Bei Lu Pdf

Modeling and Analysis of Dynamic Systems, Third Edition introduces MATLAB®, Simulink®, and SimscapeTM and then utilizes them to perform symbolic, graphical, numerical, and simulation tasks. Written for senior level courses/modules, the textbook meticulously covers techniques for modeling a variety of engineering systems, methods of response analysis, and introductions to mechanical vibration, and to basic control systems. These features combine to provide students with a thorough knowledge of the mathematical modeling and analysis of dynamic systems. The Third Edition now includes Case Studies, expanded coverage of system identification, and updates to the computational tools included.

Modelling and Control of Dynamic Systems Using Gaussian Process Models

Author : Juš Kocijan
Publisher : Springer
Page : 267 pages
File Size : 40,6 Mb
Release : 2015-11-21
Category : Technology & Engineering
ISBN : 9783319210216

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Modelling and Control of Dynamic Systems Using Gaussian Process Models by Juš Kocijan Pdf

This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.

Modeling and Simulation of Dynamic Systems

Author : Robert L. Woods,Kent L. Lawrence
Publisher : Pearson
Page : 552 pages
File Size : 43,8 Mb
Release : 1997
Category : Mathematics
ISBN : UOM:39015045643064

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Modeling and Simulation of Dynamic Systems by Robert L. Woods,Kent L. Lawrence Pdf

Introduction to modeling and simulation - Models for dynamic systems and systems similarity - Modeling of engineering systems - Mechanical systems - Electrical systems - Fluid systems - Thermal systems - Mixed discipline systems - System dynamic response analysis - Frequency response - Time response and digital simulation - Engineering applications - System design and selection of components.

Simulation of Dynamic Systems with MATLAB® and Simulink®

Author : Harold Klee,Randal Allen
Publisher : CRC Press
Page : 852 pages
File Size : 50,6 Mb
Release : 2018-02-02
Category : Mathematics
ISBN : 9781498787789

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Simulation of Dynamic Systems with MATLAB® and Simulink® by Harold Klee,Randal Allen Pdf

Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems. The book presents an integrated treatment of continuous simulation with all the background and essential prerequisites in one setting. It features updated chapters and two new sections on Black Swan and the Stochastic Information Packet (SIP) and Stochastic Library Units with Relationships Preserved (SLURP) Standard. The new edition includes basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena, as well as an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts.