Modeling and Simulation of Systems Using MATLAB and Simulink

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A01=Devendra K. Chaturvedi
Ann Model
artificial neural network
Author_Devendra K. Chaturvedi
Category=GPFC
Category=UYD
Causal Loop Diagram
chaotic system
computational modeling
conceptual systems
control theory
Cumulative Distribution Function
DC Machine
Dead Zone Nonlinearities
Discrete Event Simulation
discrete-event modeling
discrete-event system simulation
dynamic system analysis
Dynamo Equations
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eq_computing
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eq_isMigrated=2
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Euler's Method
Excitation Function
Fourth Order Runge Kutta Method
Fuzzy Controller
Fuzzy Set
fuzzy system
Generalized semi-Markov Processes
genetic algorithm
graduate level textbook
graph theory
interpretive structural modeling
Local Truncation Error
MATLAB
MATLAB Program
Membership Function
model order reduction
nonlinear system
nonlinear system simulation techniques
operations research
Ordinary Differential Equations
physical systems
Reachability Matrix
Rocket Dynamics
Saddle Node Bifurcation
simulation
Simulink
Simulink Model
soft computing
Speedometer Cable
state space model
system dynamics
system identification
systems engineering
systems modeling
Total Prediction Error

Product details

  • ISBN 9781439806722
  • Weight: 1474g
  • Dimensions: 178 x 254mm
  • Publication Date: 16 Dec 2009
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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 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.

Devendra K. Chaturvedi is a professor in the Department of Electrical Engineering at Dayalbagh Educational Institute in India.

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