Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Measurements Modelling And Simulation Of Dynamic Systems
Download Measurements Modelling And Simulation Of Dynamic Systems full books in PDF, epub, and Kindle. Read online Measurements Modelling And Simulation Of Dynamic Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Measurements, Modelling and Simulation of Dynamic Systems by : Edward Layer
Download or read book Measurements, Modelling and Simulation of Dynamic Systems written by Edward Layer and published by Springer Science & Business Media. This book was released on 2009-12-30 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development and use of models of various objects is becoming a more common practice in recent days. This is due to the ease with which models can be developed and examined through the use of computers and appropriate software. Of those two, the former - high-speed computers - are easily accessible nowadays, and the latter - existing programs - are being updated almost continuously, and at the same time new powerful software is being developed. Usually a model represents correlations between some processes and their interactions, with better or worse quality of representation. It details and characterizes a part of the real world taking into account a structure of phenomena, as well as quantitative and qualitative relations. There are a great variety of models. Modelling is carried out in many diverse fields. All types of natural phenomena in the area of biology, ecology and medicine are possible subjects for modelling. Models stand for and represent technical objects in physics, chemistry, engineering, social events and behaviours in sociology, financial matters, investments and stock markets in economy, strategy and tactics, defence, security and safety in military fields. There is one common point for all models. We expect them to fulfil the validity of prediction. It means that through the analysis of models it is possible to predict phenomena, which may occur in a fragment of the real world represented by a given model. We also expect to be able to predict future reactions to signals from the outside world.
Book Synopsis Modeling and Analysis of Dynamic Systems by : Charles M. Close
Download or read book Modeling and Analysis of Dynamic Systems written by Charles M. Close and published by John Wiley & Sons. This book was released on 2001-08-20 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of Modeling and Anaysis of Dynamic Systems continues to present students with the methodology applicable to the modeling and analysis of a variety of dynamic systems, regardless of their physical origin. It includes detailed modeling of mechanical, electrical, electro-mechanical, thermal, and fluid systems. Models are developed in the form of state-variable equations, input-output differential equations, transfer functions, and block diagrams. The Laplace transform is used for analytical solutions. Computer solutions are based on MATLAB and Simulink. Examples include both linear and nonlinear systems. An introduction is given to the modeling and design tools for feedback control systems. The text offers considerable flexibility in the selection of material for a specific course. Students majoring in many different engineering disciplines have used the text. Such courses are frequently followed by control-system design courses in the various disciplines.
Book Synopsis Measurements, Modelling and Simulation of Dynamic Systems by : Edward Layer
Download or read book Measurements, Modelling and Simulation of Dynamic Systems written by Edward Layer and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an analog-to-digital system intended to dynamic measurement, particularly for non-electrical quantities. The construction and properties of measurement sensors are analyzed in detail, as these represent the primary components for all measurement systems. Procedures for signal noise reduction are presented based on the time window function and a digital Kalman filter. Also covered in this book are the methods of modeling, model development and identification procedures on the basis of measurement data. The theory of maximum errors is applied in order to determine mapping errors of models in case of non-standard input signals. This is based on signals maximizing the chosen error functional. The existence and attainability of such signals is proved and the algorithms for their determination are presented. Detailed calculation methods, based on dedicated numerical procedures are demonstrated, which allow the integral-square error as well as the absolute error to be determined. The problems presented in the book are relevant to a wide range of applications where there is a requirement to determine the accuracy of indeterminate dynamic signals such as occurs in the fields of engineering, medicine, biology, physics etc. This book will interest researchers, scientists, engineers and graduate students in many disciplines, who make use of measurements, modelling and computer simulation. .
Book Synopsis Measurements, Modelling and Simulation of Dynamic Systems by : Edward Layer
Download or read book Measurements, Modelling and Simulation of Dynamic Systems written by Edward Layer and published by Springer. This book was released on 2010-02-04 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development and use of models of various objects is becoming a more common practice in recent days. This is due to the ease with which models can be developed and examined through the use of computers and appropriate software. Of those two, the former - high-speed computers - are easily accessible nowadays, and the latter - existing programs - are being updated almost continuously, and at the same time new powerful software is being developed. Usually a model represents correlations between some processes and their interactions, with better or worse quality of representation. It details and characterizes a part of the real world taking into account a structure of phenomena, as well as quantitative and qualitative relations. There are a great variety of models. Modelling is carried out in many diverse fields. All types of natural phenomena in the area of biology, ecology and medicine are possible subjects for modelling. Models stand for and represent technical objects in physics, chemistry, engineering, social events and behaviours in sociology, financial matters, investments and stock markets in economy, strategy and tactics, defence, security and safety in military fields. There is one common point for all models. We expect them to fulfil the validity of prediction. It means that through the analysis of models it is possible to predict phenomena, which may occur in a fragment of the real world represented by a given model. We also expect to be able to predict future reactions to signals from the outside world.
Book Synopsis Modelling and Simulation by : Louis G. Birta
Download or read book Modelling and Simulation written by Louis G. Birta and published by Springer Science & Business Media. This book was released on 2007-09-07 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a balanced and integrated presentation of modelling and simulation activity for both Discrete Event Dynamic Systems (DEDS) and Continuous Time Dynamic Systems (CYDS). The authors establish a clear distinction between the activity of modelling and that of simulation, maintaining this distinction throughout. The text offers a novel project-oriented approach for developing the modelling and simulation methodology, providing a solid basis for demonstrating the dependency of model structure and granularity on project goals. Comprehensive presentation of the verification and validation activities within the modelling and simulation context is also shown.
Book Synopsis Modeling, Identification and Simulation of Dynamical Systems by : P. P. J. van den Bosch
Download or read book Modeling, Identification and Simulation of Dynamical Systems written by P. P. J. van den Bosch and published by CRC Press. This book was released on 2020-12-17 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Simulation of Dynamic Systems with MATLAB® and Simulink® by : Harold Klee
Download or read book Simulation of Dynamic Systems with MATLAB® and Simulink® written by Harold Klee and published by CRC Press. This book was released on 2018-02-02 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modeling and Simulation of Dynamic Systems by : Robert L. Woods
Download or read book Modeling and Simulation of Dynamic Systems written by Robert L. Woods and published by Pearson. This book was released on 1997 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modelling and Parameter Estimation of Dynamic Systems by : J.R. Raol
Download or read book Modelling and Parameter Estimation of Dynamic Systems written by J.R. Raol and published by IET. This book was released on 2004-08-13 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Dynamic Systems by : Craig A. Kluever
Download or read book Dynamic Systems written by Craig A. Kluever and published by Wiley Global Education. This book was released on 2019-12-24 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton
Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Book Synopsis Modeling of Dynamic Systems by : Lennart Ljung
Download or read book Modeling of Dynamic Systems written by Lennart Ljung and published by Prentice Hall. This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modelling and Control of Dynamic Systems Using Gaussian Process Models by : Juš Kocijan
Download or read book Modelling and Control of Dynamic Systems Using Gaussian Process Models written by Juš Kocijan and published by Springer. This book was released on 2015-11-21 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modeling and Simulation of Dynamic Systems by : Robert L. Woods
Download or read book Modeling and Simulation of Dynamic Systems written by Robert L. Woods and published by . This book was released on 1997 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reflecting the state-of-the-art and current trends in modeling and simulation, this text provides comprehensive coverage of 1) the modeling techniques of the major types of dynamic engineering systems, 2) the solution techniques for the resulting differential equations for linear and nonlinear systems, and 3) the attendant mathematical procedures related to the representation of dynamic systems and determination of their time and frequency response characteristics. It explains in detail how to select all of the system component parameter values for static and dynamic performance specifications and limits.* Treats all of the engineering technologies with equal depth and completeness. * Covers mechanical, electrical, fluid (hydraulics and pneumatics), and thermal systems - with an emphasis on the similarity of the response characteristics of systems in all technologies. * Begins with a broad overview of the concepts of dynamic systems and systems approach to the analysis and design of engineering systems. * Organizes modeling content along technology lines and mathematical fundamentals rather than procedures that are in common. * Each modeling chapter begins with a discussion of the
Book Synopsis Modeling and Analysis of Dynamic Systems by : Charles M. Close
Download or read book Modeling and Analysis of Dynamic Systems written by Charles M. Close and published by . This book was released on 1978 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Translational mechanical systems; Standard forms for system models; Rotational mechanical systems; Developing a fixed linear model; Simulation diagrams; Numerical solutions; Analytical solution of fixed linear models; Linear electrical circuits; Nonlinear electrical circuits; Electromechanical systems; The laplace transform; Transfer-function analysis; Thermal systems; Hydraulic systems; Feedback systems; Matrix methods; Case study.
Book Synopsis Modeling of Dynamic Systems with Engineering Applications by : Clarence W. de Silva
Download or read book Modeling of Dynamic Systems with Engineering Applications written by Clarence W. de Silva and published by CRC Press. This book was released on 2022-07-27 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides cutting-edge insight into systems dynamics for both students and practicing engineers. Updated throughout for the second edition, this book serves as a firm foundation to develop expertise in design, prototyping, control, instrumentation, experimentation, and performance analysis. Providing a clear discussion of system dynamics, this book enables students and professionals to both understand and subsequently model mechanical, thermal, fluid, electrical, and multi-domain (or, multi-physics) systems in a systematic, unified, and integrated manner. Concepts of through and across-variables, are introduced and applied, alongside tools of modeling and model representation in linear graphs. This book uses innovative worked examples and case studies, alongside problems and exercises based on practical situations. This book is a crucial companion to undergraduate and postgraduate engineering students, alongside professionals in the engineering field. Complete solutions to end-of-chapter problems are provided in a solutions manual, which is available to instructors.
Download or read book Dynamic Systems written by Hung V. Vu and published by McGraw-Hill Science, Engineering & Mathematics. This book was released on 1997 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using an easy-to-follow, intuitive approach, Dynamic Systems: Modeling and Analysis emphasizes modeling and analysis techniques. Its emphasis on the fundamentals, many thoroughly worked examples, and use of free body and effective force diagrams, aims to prepare students for subsequent courses. The essential mathematical background is covered in detail, and a variety of applications from mechanical to electrical engineering makes this text useful for a variety of engineering disciplines.
