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Computer-Assisted Simulation of Dynamic Systems with Block Diagram Languages

Computer-Assisted Simulation of Dynamic Systems with Block Diagram Languages
Author: Nicholas M. Karayanakis
Publisher: CRC Press
Total Pages: 416
Release: 1993-06-24
Genre: Computers
ISBN: 9780849389719

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Computer-Assisted Simulation of Dynamic Systems with Block Diagram Languages explores the diverse applications of these indispensable simulation tools. The first book of its kind, it bridges the gap between block diagram languages and traditional simulation practice by linking the art of analog/hybrid computation with modern pc-based technology. Direct analogies are explored as a means of promoting interdisciplinary problem solving. The reader progresses step-by-step through the creative modeling and simulation of dynamic systems from disciplines as diverse from each other as biology, electronics, physics, and mathematics. The book guides the reader to the dynamic simulation of chaos, conformal mapping, VTOL aircraft, and other highly specialized topics. Alternate methods of simulating a single device to emphasize the dynamic rather than schematic features of a system are provided. Nearly-forgotten computational techniques like that of integrating with respect to a variable other than time are revived and applied to simulation and signal processing. Actual working models are found throughout this eminently readable book, along with a complete international bibliography for individuals researching subjects in dynamic systems. This is an excellent primary text for undergraduate and graduate courses in computer simulation or an adjunct text for a dynamic systems course. It is also recommended as a professional reference book.


Computer Simulation of Dynamic Systems

Computer Simulation of Dynamic Systems
Author: Ralph J. Kochenburger
Publisher:
Total Pages: 552
Release: 1972
Genre: Computers
ISBN:

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Fundamental simulation techniques: an example. Basic principles of analog computers. Linear simulation operations with digital computers. Nonlinear operations with analog computers. Implicit methods of function generation; Simulation of discontinuous relations. Boundary value problems. Optimization of simulated systems. Simulation of random disturbances and their effects. Implementation of distributed-parameter systems - partial differential equations. Parallel and serial computation: hybrid computers.


Simulation of Dynamic Systems with MATLAB® and Simulink®

Simulation of Dynamic Systems with MATLAB® and Simulink®
Author: Harold Klee
Publisher: CRC Press
Total Pages: 852
Release: 2018-02-02
Genre: Mathematics
ISBN: 1498787789

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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.


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

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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, Identification and Simulation of Dynamical Systems

Modeling, Identification and Simulation of Dynamical Systems
Author: P. P. J. van den Bosch
Publisher: CRC Press
Total Pages: 212
Release: 2020-12-17
Genre: Mathematics
ISBN: 0429605927

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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.


Interactive Dynamic-System Simulation

Interactive Dynamic-System Simulation
Author: Granino A. Korn
Publisher: CRC Press
Total Pages: 220
Release: 2016-04-19
Genre: Mathematics
ISBN: 1439836434

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Showing you how to use personal computers for modeling and simulation, Interactive Dynamic-System Simulation, Second Edition provides a practical tutorial on interactive dynamic-system modeling and simulation. It discusses how to effectively simulate dynamical systems, such as aerospace vehicles, power plants, chemical processes, control systems, a


Handbook of Dynamic System Modeling

Handbook of Dynamic System Modeling
Author: Paul A. Fishwick
Publisher: CRC Press
Total Pages: 756
Release: 2007-06-01
Genre: Computers
ISBN: 1420010859

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The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic Sy


Digital Simulation of Dynamic Systems

Digital Simulation of Dynamic Systems
Author: Tom T. Hartley
Publisher: Prentice Hall
Total Pages: 424
Release: 1994
Genre: Computers
ISBN:

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This tutorial provides a variety of simulation algorithms for the design and control of dynamic systems. It explains the accuracy and stability of automatic control theory, emphasizing those systems described by stiff non-linear differential equations.


Measurements, Modelling and Simulation of Dynamic Systems

Measurements, Modelling and Simulation of Dynamic Systems
Author: Edward Layer
Publisher: Springer Science & Business Media
Total Pages: 165
Release: 2009-12-30
Genre: Technology & Engineering
ISBN: 364204588X

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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.