Continuous Signals and Systems with MATLAB, Second Edition

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ISBN 9781420054743
Cat# 54740
 

Features

  • Presents a systematic treatment for finding solutions to differential equations
  • Provides very detailed material on state space and its relation to linear and nonlinear systems
  • Offers a step-by-step procedure for drawing block diagrams
  • Introduces the field of nonlinear systems to prepare students for work on real-world systems
  • Incorporates background information in a “just-in-time” manner where necessary
  • Gives further insight at the end of each chapter to clarify key concepts
  • Includes many solved problems and examples that feature MATLAB
  • Contains a solutions manual for qualifying instructors
  • Summary

    Designed for a one-semester undergraduate course in continuous linear systems, Continuous Signals and Systems with MATLAB®, Second Edition presents the tools required to design, analyze, and simulate dynamic systems. It thoroughly describes the process of the linearization of nonlinear systems, using MATLAB® to solve most examples and problems. With updates and revisions throughout, this edition focuses more on state-space methods, block diagrams, and complete analog filter design.

    New to the Second Edition

    •          A chapter on block diagrams that covers various classical and state-space configurations

    •          A completely revised chapter that uses MATLAB to illustrate how to design, simulate, and implement analog filters

    •          Numerous new examples from a variety of engineering disciplines, with an emphasis on electrical and electromechanical engineering problems

    Explaining the subject matter through easy-to-follow mathematical development as well as abundant examples and problems, the text covers signals, types of systems, convolution, differential equations,Fourier series and transform, the Laplace transform, state-space representations, block diagrams, system linearization, and analog filter design. Requiring no prior fluency with MATLAB, it enables students to master both the concepts of continuous linear systems and the use of MATLAB to solve problems.

    Table of Contents

    Preface
    Signal Representation
    Examples of Continuous Signals
    The Continuous Signal
    Periodic and Nonperiodic Signals
    General Form of Sinusoidal Signals
    Energy and Power Signals
    The Shifting Operation
    The Reflection Operation
    Even and Odd Functions
    Time Scaling
    The Unit Step Signal
    The Signum Signal
    The Ramp Signal
    The Sampling Signal
    The Impulse Signal
    Some Insights: Signals in the Real World
    Continuous Systems
    Definition of a System
    Input and Output
    Linear Continuous System
    Time-Invariant System
    Systems without Memory
    Causal Systems
    The Inverse of a System
    Stable Systems
    Convolution
    Simple Block Diagrams
    Graphical Convolution
    Differential Equations and Physical Systems
    Homogeneous Differential Equations and Their Solutions
    Nonhomogeneous Differential Equations and Their Solutions
    The Stability of Linear Continuous Systems:
    The Characteristic Equation
    Block Diagram Representation of Linear Systems
    From Block Diagrams to Differential Equations
    From Differential Equations to Block Diagrams
    The Impulse Response
    Some Insights: Calculating y(t)
    Fourier Series
    Review of Complex Numbers
    Orthogonal Functions
    Periodic Signals
    Conditions for Writing a Signal as a Fourier Series Sum
    Basis Functions
    The Magnitude and the Phase Spectra
    Fourier Series and the Sin-Cos Notation
    Fourier Series Approximation and the Resulting Error
    The Theorem of Parseval
    Systems with Periodic Inputs
    A Formula for Finding y(t) When x(t) Is Periodic: The Steady-State Response
    Some Insight: Why the Fourier Series?
    The Fourier Transform and Linear Systems
    Definition
    Introduction
    The Fourier Transform Pairs
    Energy of Nonperiodic Signals
    The Energy Spectral Density of a Linear System
    Some Insights: Notes and a Useful Formula
    The Laplace Transform and Linear Systems
    Definition
    The Bilateral Laplace Transform
    The Unilateral Laplace Transform
    The Inverse Laplace Transform
    Block Diagrams Using the Laplace Transform
    Representation of Transfer Functions as Block Diagrams
    Procedure for Drawing the Block Diagram from the Transfer Function
    Solving LTI Systems Using the Laplace Transform
    Solving Differential Equations Using the Laplace Transform
    The Final Value Theorem
    The Initial Value Theorem
    Some Insights: Poles and Zeros
    State-Space and Linear Systems
    Introduction
    A Review of Matrix Algebra
    General Representation of Systems in State Space
    General Solution of State-Space Equations Using the Laplace Transform
    General Solution of the State-Space Equations in Real Time
    Ways of Evaluating eAt
    Some Insights: Poles and Stability
    Block Diagrams
    Introduction
    Basic Block Diagram Components
    Block Diagrams as Interconnected Subsystems
    The Controllable Canonical Form Block Diagrams with Basic Blocks
    The Observable Canonical Form Block Diagrams with Basic Blocks
    The Diagonal Form Block Diagrams with Basic Blocks
    The Parallel Block Diagrams with Subsystems
    The Series Block Diagrams with Subsystems
    Block Diagram Reduction Rules
    Analog Filter Design
    Introduction
    Analogue Filter Specifications
    Butterworth Filter Approximation
    Chebyshev Filters
    Elliptic Filter Approximation
    Bessel Filters
    Analog Frequency Transformation
    Analog Filter Design Using MATLAB
    How Do We Find the Cutoff Frequency Analytically?
    Limitations
    Comparison between Analog Filter Types
    Implementation of Analog Filters
    Some Insights: Filters with High Gain versus Filters with Low Gain and the Relation between the Time Constant and the Cutoff Frequency for First-Order Circuits and the Series RLC Circuit
    Introduction to Nonlinear Systems
    Introduction
    Linear and Nonlinear Differential Equations
    The Process of Linearization
    Some Insights: The Meaning of Linear and Nonlinear
    Index
    Each chapter contains Examples, Problems, and References at the end.