System Modeling Simulation

Modeling and Simulation of Systems Using MATLAB and Simulink

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.

Modeling and Simulation of Distributed Systems (with Cd-rom)

System Modeling And Simulation: An Introduction

Market_Desc: Advanced undergraduates/graduates in Electrical/electronic/mechanical Engineering; small possibility in the case of interdisciplinary courses in physical/life sciences, industrial engineering and operations research students (only 4 of the 10 chapters appropriate for last two). About The Book: System Modeling is the describing in mathematical terms any real system. In engineering terms, the systems may be electrical, electronic, industrial, and chemical. Simulation is the mimicking of the operation of a real system that gives information about the system being investigated. The activities of the model consist of events, or inputs and outputs, which are activated at certain points in time and in this way affect the overall state of the system. The simulation approach of analyzing a model is opposed to the analytical approach, where the method of analyzing the system is purely theoretical.