Overview of Control Systems Engineering, 6ed, ISV (WSE) Book

Highly regarded for its case studies and accessible writing, Control Systems Engineering is a valuable resource for engineers. It takes a practical approach while presenting clear and complete explanations. Real world examples demonstrate the analysis and design process. In addition, helpful skill assessment exercises, numerous in-chapter examples, review questions, and problems reinforce key concepts. Tutorials are also included on the latest versions of MATLAB, the Control System Toolbox, Simulink , the Symbolic Math Toolbox, and MATLAB's graphical user interface (GUI) tools. What if experiments help expand an engineer's knowledge and skills. Special Features ?ú Takes a practical approach while presenting clear and complete explanations ?ú Reinforces key concepts through helpful skill assessment exercises, numerous in-chapter examples, review questions, and problems ?ú Includes tutorials on the latest versions of MATLAB, the Control System Toolbox, Simulink , the Symbolic Math Toolbox, and MATLAB's graphical user interface (GUI) tools ?ú Expands the reader's knowledge and skills through What if experiments ?ú Integrates case studies throughout the chapters Table of Content 1. Introduction 1.1 Introduction 1.2 A History of Control Systems 1.3 System Configurations 1.4 Analysis and Design Objectives Case Study 1.5 The Design Process 1.6 Computer-Aided Design 1.7 The Control Systems Engineer 2. Modeling in the Frequency Domain 2.1 Introduction 2.2 Laplace Transform Review 2.3 The Transfer Function 2.4 Electrical Network Transfer Functions 2.5 Translational Mechanical System Transfer Functions 2.6 Rotational Mechanical System Transfer Functions 2.7 Transfer Functions for Systems with Gears 2.8 Electromechanical System Transfer Functions 2.9 Electric Circuit Analogs 2.10 Nonlinearities 2.11 Linearization 3. Modeling in the Time Domain 3.1 Introduction 3.2 Some Observations 3.3 The General State-Space Representation 3.4 Applying the State-Space Representation 3.5 Converting a Transfer Function to State Space 3.6 Converting from State Space to a Transfer Function 3.7 Linearization 4. Time Response 4.1 Introduction 4.2 Poles, Zeros, and System Response 4.3 First-Order Systems 4.4 Second-Order Systems: Introduction 4.5 The General Second-Order System 4.6 Underdamped Second-Order Systems 4.7 System Response with Additional Poles 4.8 System Response with Zeros 4.9 Effects of Nonlinearities upon Time Response 4.10 Laplace Transform Solution of State Equations 4.11 Time Domain Solution of State Equations 5. Reduction of Multiple Subsystems 5.1 Introduction 5.2 Block Diagrams 5.3 Analysis and Design of Feedback Systems 5.4 Signal-Flow Graphs 5.5 Mason's Rule 5.6 Signal-Flow Graphs of State Equations 5.7 Alternative Representations in State Space 5.8 Similarity Transformations 6. Stability 6.1 Introduction 6.2 Routh-Hurwitz Criterion 6.3 Routh-Hurwitz Criterion: Special Cases 6.4 Routh-Hurwitz Criterion: Additional Examples 6.5 Stability in State Space 7. Steady-State Errors 7.1 Introduction 7.2 Steady-State Error for Unity Feedback Systems 7.3 Static Error Constants and System Type 7.4 Steady-State Error Specifications 7.5 Steady-State Error for Disturbances 7.6 Steady-State Error for Nonunity Feedback Systems 7.7 Sensitivity 7.8 Steady-State Error for Systems in State Space 8. Root Locus Techniques 8.1 Introduction 8.2 Defining the Root Locus 8.3 Properties of the Root Locus 8.4 Sketching the Root Locus 8.5 Refining the Sketch 8.6 An Example 8.7 Transient Response Design via Gain Adjustment 8.8 Generalized Root Locus 8.9 Root Locus for Positive-Feedback Systems 8.10 Pole Sensitivity 9. Design via Root Locus 9.1 Introduction 9.2 Improving Steady-State Error via Cascade Compensation 9.3 Improving Transient Response via Cascade Compensation 9.4 Improving Steady-State Error and Transient Response 9.5 Feedback Compensation 9.6 Physical Realization