| Preface |
| Feedback Control / Chapter 1： |
| The Mechanism of Feedback / 1.1： |
| Feedback Control Engineering / 1.2： |
| Control Theory Background / 1.3： |
| Scope and Organization of This Book / 1.4： |
| Notes |
| References |
| State-Space Representation of Dynamic Systems / Chapter 2： |
| Mathematical Models / 2.1： |
| Physical Notion of System State / 2.2： |
| Block-Diagram Representations / 2.3： |
| Lagrange's Equations / 2.4： |
| Rigid Body Dynamics / 2.5： |
| Aerodynamics / 2.6： |
| Chemical and Energy Processes / 2.7： |
| Problems |
| Dynamics of Linear Systems / Chapter 3： |
| Differential Equations Revisited / 3.1： |
| Solution of Linear Differential Equations in State-Space Form / 3.2： |
| Interpretation and Properties of the State-Transition Matrix / 3.3： |
| Solution by the Laplace Transform: The Resolvent / 3.4： |
| Input-Output Relations: Transfer Functions / 3.5： |
| Transformation of State Variables / 3.6： |
| State-Space Representation of Transfer Functions: Canonical Forms / 3.7： |
| Frequency-Domain Analysis / Chapter 4： |
| Status of Frequency-Domain Methods / 4.1： |
| Frequency-Domain Characterization of Dynamic Behavior / 4.2： |
| Block-Diagram Algebra / 4.3： |
| Stability / 4.4： |
| Routh-Hurwitz Stability Algorithms / 4.5： |
| Graphical Methods / 4.6： |
| Steady State Responses: System Type / 4.7： |
| Dynamic Response: Bandwidth / 4.8： |
| Robustness and Stability (Gain and Phase) Margins / 4.9： |
| Multivariable Systems: Nyquist Diagram and Singular Values / 4.10： |
| Controllability and Observability / Chapter 5： |
| Introduction / 5.1： |
| Where Do Uncontrollable or Unobservable Systems Arise? / 5.2： |
| Definitions and Conditions for Controllability and Observability / 5.3： |
| Algebraic Conditions for Controllability and Observability / 5.4： |
| Disturbances and Tracking Systems: Exogenous Variables / 5.5： |
| Shaping the Dynamic Response / Chapter 6： |
| Design of Regulators for Single-Input, Single-Output Systems / 6.1： |
| Multiple-Input Systems / 6.3： |
| Where Should the Closed-Loop Poles Be Placed? / 6.4： |
| Linear Observers / Chapter 7： |
| The Need for Observers / 7.1： |
| Structure and Properties of Observers / 7.2： |
| Pole-Placement for Single-Output Systems / 7.3： |
| Reduced-Order Observers / 7.4： |
| Compensator Design by the Separation Principle / Chapter 8： |
| The Separation Principle / 8.1： |
| Compensators Designed Using Full-Order Observers / 8.2： |
| Robustness: Effects of Modeling Errors / 8.3： |
| Selecting Observer Dynamics: Robust Observers / 8.5： |
| Summary of Design Process / 8.7： |
| Linear, Quadratic Optimum Control / Chapter 9： |
| Why Optimum Control? / 9.1： |
| Formulation of the Optimum Control Problem / 9.2： |
| Quadratic Integrals and Matrix Differential Equations / 9.3： |
| The Optimum Gain Matrix / 9.4： |
| The Steady State Solution / 9.5： |
| Disturbances and Reference Inputs: Exogenous Variables / 9.6： |
| General Performance Integral / 9.7： |
| Weighting of Performance at Terminal Time / 9.8： |
| Random Processes / Chapter 10： |
| Conceptual Models for Random Processes / 10.1： |
| Statistical Characteristics of Random Processes / 10.3： |
| Power Spectral Density Function / 10.4： |
| White Noise and Linear System Response / 10.5： |
| Spectral Factorization / 10.6： |
| Systems with State-Space Representation / 10.7： |
| The Wiener Process and Other Integrals of Stationary Processes / 10.8： |
| Kalman Filters: Optimum Observers / Chapter 11： |
| Background / 11.1： |
| The Kalman Filter is an Observer / 11.2： |
| Kalman Filter Gain and Variance Equations / 11.3： |
| Steady State Kalman Filter / 11.4： |
| The "Innovations" Process / 11.5： |
| Reduced-Order Filters and Correlated Noise / 11.6： |
| Stochastic Control: The Separation Theorem / 11.7： |
| Choosing Noise for Robust Control / 11.8： |
| Matrix Algebra and Analysis / Appendix： |
| Bibliography |
| Index of Applications |
| Index |
| Preface |
| Feedback Control / Chapter 1： |
| The Mechanism of Feedback / 1.1： |
図書
