Modeling and Simulation of Systems Using MATLAB and Simulink

Modeling and Simulation of Systems Using MATLAB and Simulink

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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 MATLABAr and SimulinkAr 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.system components and interconnections, 103a€“105 theorems, 138a€“141 topological restrictions accumulator or storage type ... 576 identifying linguistic variables, 575 Mamdani implication, 579 range definition, 575 schematic diagram, 574a€“575 values, 575a€“576 Steady ... absorbing system, 385, 386 dynamic model, 389a€“390 experimental data vs. simulated data, 391, 393 flow diagram, 390, 391 MATLABanbsp;...

Title:Modeling and Simulation of Systems Using MATLAB and Simulink
Author: Devendra K. Chaturvedi
Publisher:CRC Press - 2009-12-16

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