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.

Contents

Introduction to Systems

System

Classification of Systems

Linear Systems

Time-Varying vs. Time-Invariant Systems

Lumped vs. Distributed Parameter Systems

Continuous- and Discrete-Time Systems

Deterministic vs. Stochastic Systems

Hard and Soft Systems

Analysis of Systems

Synthesis of Systems

Introductystem Philosophy

System Thinking

Large and Complex Applied System Engineering: A Generic Modeling

Systems Modeling

Introduction

Need of System Modeling

Modeling Methods for Complex Systems

Classification of Models

Characteristics of Models

Modeling

Mathematical Modeling of Physical Systems

Formulation of State Space Model of Systems

Physical Systems Theory

System Components and Interconnections

Computation of Parameters of a Component

Single Port and Multiport Systems

Techniques of System Analysis

Basics of Linear Graph Theoretic Approach

Formulation of System Model for Conceptual System

Formulation System Model for Physical Systems

Topological Restrictions

Development of State Model of Degenerative System

Solution of State Equations

Controllability

Observability

Sensitivity

Liapunov Stability

Perform...