Simulation Of Dynamic Systems With Matlab And Simulink
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Author |
: Harold Klee |
Publisher |
: CRC Press |
Total Pages |
: 852 |
Release |
: 2018-02-02 |
ISBN-10 |
: 9781498787789 |
ISBN-13 |
: 1498787789 |
Rating |
: 4/5 (89 Downloads) |
Synopsis Simulation of Dynamic Systems with MATLAB® and Simulink® by : Harold Klee
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.
Author |
: Harold Klee |
Publisher |
: CRC Press |
Total Pages |
: 786 |
Release |
: 2018-10-03 |
ISBN-10 |
: 9781420044195 |
ISBN-13 |
: 1420044192 |
Rating |
: 4/5 (95 Downloads) |
Synopsis Simulation of Dynamic Systems with MATLAB and Simulink by : Harold Klee
Simulation is increasingly important for students in a wide variety of fields, from engineering and physical sciences to medicine, biology, economics, and applied mathematics. Current trends point toward interdisciplinary courses in simulation intended for all students regardless of their major, but most textbooks are subject-specific and consequen
Author |
: Ernest Doebelin |
Publisher |
: CRC Press |
Total Pages |
: 1560 |
Release |
: 1998-02-10 |
ISBN-10 |
: 0824701267 |
ISBN-13 |
: 9780824701260 |
Rating |
: 4/5 (67 Downloads) |
Synopsis System Dynamics by : Ernest Doebelin
Addressing topics from system elements and simple first- and second-order systems to complex lumped- and distributed-parameter models of practical machines and processes, this work details the utility of systems dynamics for the analysis and design of mechanical, fluid, thermal and mixed engineering systems. It emphasizes digital simulation and integrates frequency-response methods throughout.;College or university bookshops may order five or more copies at a special student price, available on request.
Author |
: Devendra K. Chaturvedi |
Publisher |
: CRC Press |
Total Pages |
: 734 |
Release |
: 2017-12-19 |
ISBN-10 |
: 9781439806739 |
ISBN-13 |
: 143980673X |
Rating |
: 4/5 (39 Downloads) |
Synopsis Modeling and Simulation of Systems Using MATLAB and Simulink by : Devendra K. Chaturvedi
Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.
Author |
: Ramin S. Esfandiari |
Publisher |
: CRC Press |
Total Pages |
: 661 |
Release |
: 2018-01-29 |
ISBN-10 |
: 9781351751643 |
ISBN-13 |
: 1351751646 |
Rating |
: 4/5 (43 Downloads) |
Synopsis Modeling and Analysis of Dynamic Systems by : Ramin S. Esfandiari
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.
Author |
: Dingy¿ Xue |
Publisher |
: John Wiley & Sons |
Total Pages |
: 500 |
Release |
: 2013-09-16 |
ISBN-10 |
: 9781118694374 |
ISBN-13 |
: 1118694376 |
Rating |
: 4/5 (74 Downloads) |
Synopsis System Simulation Techniques with MATLAB and Simulink by : Dingy¿ Xue
System Simulation Techniques with MATLAB and Simulink comprehensively explains how to use MATLAB and Simulink to perform dynamic systems simulation tasks for engineering and non-engineering applications. This book begins with covering the fundamentals of MATLAB programming and applications, and the solutions to different mathematical problems in simulation. The fundamentals of Simulink modelling and simulation are then presented, followed by coverage of intermediate level modelling skills and more advanced techniques in Simulink modelling and applications. Finally the modelling and simulation of engineering and non-engineering systems are presented. The areas covered include electrical, electronic systems, mechanical systems, pharmacokinetic systems, video and image processing systems and discrete event systems. Hardware-in-the-loop simulation and real-time application are also discussed. Key features: Progressive building of simulation skills using Simulink, from basics through to advanced levels, with illustrations and examples Wide coverage of simulation topics of applications from engineering to non-engineering systems Dedicated chapter on hardware-in-the-loop simulation and real time control End of chapter exercises A companion website hosting a solution manual and powerpoint slides System Simulation Techniques with MATLAB and Simulink is a suitable textbook for senior undergraduate/postgraduate courses covering modelling and simulation, and is also an ideal reference for researchers and practitioners in industry.
Author |
: Joseph DiStefano III |
Publisher |
: Academic Press |
Total Pages |
: 886 |
Release |
: 2015-01-10 |
ISBN-10 |
: 9780124104938 |
ISBN-13 |
: 0124104932 |
Rating |
: 4/5 (38 Downloads) |
Synopsis Dynamic Systems Biology Modeling and Simulation by : Joseph DiStefano III
Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems – from molecular/cellular, organ-system, on up to population levels. The book pedagogy is developed as a well-annotated, systematic tutorial – with clearly spelled-out and unified nomenclature – derived from the author's own modeling efforts, publications and teaching over half a century. Ambiguities in some concepts and tools are clarified and others are rendered more accessible and practical. The latter include novel qualitative theory and methodologies for recognizing dynamical signatures in data using structural (multicompartmental and network) models and graph theory; and analyzing structural and measurement (data) models for quantification feasibility. The level is basic-to-intermediate, with much emphasis on biomodeling from real biodata, for use in real applications. - Introductory coverage of core mathematical concepts such as linear and nonlinear differential and difference equations, Laplace transforms, linear algebra, probability, statistics and stochastics topics - The pertinent biology, biochemistry, biophysics or pharmacology for modeling are provided, to support understanding the amalgam of "math modeling with life sciences - Strong emphasis on quantifying as well as building and analyzing biomodels: includes methodology and computational tools for parameter identifiability and sensitivity analysis; parameter estimation from real data; model distinguishability and simplification; and practical bioexperiment design and optimization - Companion website provides solutions and program code for examples and exercises using Matlab, Simulink, VisSim, SimBiology, SAAMII, AMIGO, Copasi and SBML-coded models - A full set of PowerPoint slides are available from the author for teaching from his textbook. He uses them to teach a 10 week quarter upper division course at UCLA, which meets twice a week, so there are 20 lectures. They can easily be augmented or stretched for a 15 week semester course - Importantly, the slides are editable, so they can be readily adapted to a lecturer's personal style and course content needs. The lectures are based on excerpts from 12 of the first 13 chapters of DSBMS. They are designed to highlight the key course material, as a study guide and structure for students following the full text content - The complete PowerPoint slide package (~25 MB) can be obtained by instructors (or prospective instructors) by emailing the author directly, at: [email protected]
Author |
: Patricia Melin |
Publisher |
: CRC Press |
Total Pages |
: 262 |
Release |
: 2001-10-25 |
ISBN-10 |
: 9781420024524 |
ISBN-13 |
: 1420024523 |
Rating |
: 4/5 (24 Downloads) |
Synopsis Modelling, Simulation and Control of Non-linear Dynamical Systems by : Patricia Melin
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la
Author |
: Harold Klee |
Publisher |
: |
Total Pages |
: 762 |
Release |
: 1998 |
ISBN-10 |
: OCLC:991802938 |
ISBN-13 |
: |
Rating |
: 4/5 (38 Downloads) |
Synopsis Simulation of Dynamic Systems with Matlab and Simulink by : Harold Klee
Author |
: Craig A. Kluever |
Publisher |
: Wiley Global Education |
Total Pages |
: 416 |
Release |
: 2019-12-24 |
ISBN-10 |
: 9781119601982 |
ISBN-13 |
: 1119601983 |
Rating |
: 4/5 (82 Downloads) |
Synopsis Dynamic Systems by : Craig A. Kluever
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.