Computer Modeling and Simulation of Dynamic Systems Using Wolfram SystemModeler

Computer Modeling and Simulation of Dynamic Systems Using Wolfram SystemModeler
Author: Kirill Rozhdestvensky
Publisher: Springer Nature
Total Pages: 274
Release: 2020-03-20
Genre: Science
ISBN: 9811528039

This book briefly discusses the main provisions of the theory of modeling. It also describes in detail the methodology for constructing computer models of dynamic systems using the Wolfram visual modeling environment, SystemModeler, and provides illustrative examples of solving problems of mechanics and hydraulics. Intended for students and professionals in the field, the book also serves as a supplement to university courses in modeling and simulation of dynamic systems.

Modeling and Simulation of Complex Dynamical Systems

Modeling and Simulation of Complex Dynamical Systems
Author: Vladimir Ryzhov
Publisher: Springer Nature
Total Pages: 168
Release: 2021-07-16
Genre: Science
ISBN: 9811630534

This book highlights the practical aspects of computer modelling and simulation of complex dynamical systems for students. Mechanical systems are considered in the book as representative examples of dynamical systems. Wolfram SystemModeler, in combination with Learning Management System Sakai, is used as an instrument for studying features of various physical and technical phenomena and processes. Each of the presented virtual labs may be considered a stand-alone mini project to enable students to go through all the steps of mathematical modelling and computer simulation—from the problem statement to mathematical and physical analysis of the obtained result. The book is useful for teachers to organize the educational process, allowing gradual monitoring of the learning process and assessment of students’ competencies. It also allows tutors to design individual educational trajectories for students to achieve educational properties. The subject of the book is an extension of activity started by the international team of authors within the InMotion project of the European programme ERASMUS+.

Simulation of Dynamic Systems with MATLAB® and Simulink®

Simulation of Dynamic Systems with MATLAB® and Simulink®
Author: Harold Klee
Publisher: CRC Press
Total Pages: 880
Release: 2018-02-02
Genre: Mathematics
ISBN: 1498787800

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.

Measurements, Modelling and Simulation of Dynamic Systems

Measurements, Modelling and Simulation of Dynamic Systems
Author: Edward Layer
Publisher: Springer
Total Pages: 0
Release: 2014-11-08
Genre: Mathematics
ISBN: 9783642424656

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.

Modelling and Control of Dynamic Systems Using Gaussian Process Models

Modelling and Control of Dynamic Systems Using Gaussian Process Models
Author: Juš Kocijan
Publisher: Springer
Total Pages: 281
Release: 2015-11-21
Genre: Technology & Engineering
ISBN: 3319210211

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.

Simulation of Dynamic Systems with MATLAB and Simulink

Simulation of Dynamic Systems with MATLAB and Simulink
Author: Harold Klee
Publisher: CRC Press
Total Pages: 786
Release: 2018-10-03
Genre: Mathematics
ISBN: 1420044192

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

Simulation of Dynamic Systems with MATLAB and Simulink, Second Edition

Simulation of Dynamic Systems with MATLAB and Simulink, Second Edition
Author: Harold Klee
Publisher: CRC Press
Total Pages: 815
Release: 2011-02-16
Genre: Technology & Engineering
ISBN: 9781439836736

"... a seminal text covering the simulation design and analysis of a broad variety of systems using two of the most modern software packages available today. ... particularly adept [at] enabling students new to the field to gain a thorough understanding of the basics of continuous simulation in a single semester, and [also provides] a more advanced treatment of the subject for researchers and simulation professionals." —From the Foreword by Chris Bauer, PhD, PE, CMSP Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems, and a massive transformation has occurred in the application of simulation in fields ranging from engineering and physical sciences to medicine, biology, economics, and applied mathematics. As with most things, simulation is best learned through practice—but explosive growth in the field requires a new learning approach. A response to changes in the field, Simulation of Dynamic Systems with MATLAB® and Simulink®, Second Edition has been extensively updated to help readers build an in-depth and intuitive understanding of basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena. Includes an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts Accomplished experts Harold Klee and Randal Allen take readers through a gradual and natural progression of important topics in simulation, introducing advanced concepts only after they construct complete examples using fundamental methods. Presented exercises incorporate MATLAB® and Simulink®—including access to downloadable M-files and model files—enabling both students and professionals to gain experience with these industry-standard tools and more easily design, implement, and adjust simulation models in their particular field of study. More universities are offering courses—as well as masters and Ph.D programs—in both continuous-time and discrete-time simulation, promoting a new interdisciplinary focus that appeals to undergraduates and beginning graduates from a wide range of fields. Ideal for such courses, this classroom-tested introductory text presents a flexible, multifaceted approach through which simulation can play a prominent role in validating system design and training personnel involved.

Introduction to the Simulation of Dynamics Using Simulink

Introduction to the Simulation of Dynamics Using Simulink
Author: Michael A. Gray
Publisher: CRC Press
Total Pages: 326
Release: 2010-07-02
Genre: Mathematics
ISBN: 1439818975

Designed for undergraduate students in the general science, engineering, and mathematics community, Introduction to the Simulation of Dynamics Using Simulink® shows how to use the powerful tool of Simulink to investigate and form intuitions about the behavior of dynamical systems. Requiring no prior programming experience, it clearly explains how to transition from physical models described by mathematical equations directly to executable Simulink simulations. Teaches students how to model and explore the dynamics of systems Step by step, the author presents the basics of building a simulation in Simulink. He begins with finite difference equations and simple discrete models, such as annual population models, to introduce the concept of state. The text then covers ordinary differential equations, numerical integration algorithms, and time-step simulation. The final chapter offers overviews of some advanced topics, including the simulation of chaotic dynamics and partial differential equations. A one-semester undergraduate course on simulation Written in an informal, accessible style, this guide includes many diagrams and graphics as well as exercises embedded within the text. It also draws on numerous examples from the science, engineering, and technology fields. The book deepens students’ understanding of simulated systems and prepares them for advanced and specialized studies in simulation. Ancillary materials are available at http://nw08.american.edu/~gray

Modeling of Dynamic Systems with Engineering Applications

Modeling of Dynamic Systems with Engineering Applications
Author: Clarence W. de Silva
Publisher: CRC Press
Total Pages: 420
Release: 2022-07-27
Genre: Technology & Engineering
ISBN: 1000614360

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.