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基本説明
Provideing tools necessary to design, test, and implement linear active filters, this second edition features a new chapter devoted to analogue filter design.
Full Description
Designed for a one-semester undergraduate course in continuous linear systems, Continuous Signals and Systems with MATLAB (R), 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 (R) 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.
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.
