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Preface | |
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Feedback Control | |
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The Mechanism of Feedback | |
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Feedback Control Engineering | |
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Control Theory Background | |
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Scope and Organization of This Book | |
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Notes | |
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References | |
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State-Space Representation of Dynamic Systems | |
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Mathematical Models | |
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Physical Notion of System State | |
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Block-Diagram Representations | |
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Lagrange's Equations | |
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Rigid Body Dynamics | |
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Aerodynamics | |
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Chemical and Energy Processes | |
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Problems | |
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Notes | |
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References | |
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Dynamics of Linear Systems | |
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Differential Equations Revisited | |
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Solution of Linear Differential Equations in State-Space Form | |
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Interpretation and Properties of the State-Transition Matrix | |
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Solution by the Laplace Transform: The Resolvent | |
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Input-Output Relations: Transfer Functions | |
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Transformation of State Variables | |
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State-Space Representation of Transfer Functions: Canonical Forms | |
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Problems | |
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Notes | |
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References | |
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Frequency-Domain Analysis | |
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Status of Frequency-Domain Methods | |
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Frequency-Domain Characterization of Dynamic Behavior | |
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Block-Diagram Algebra | |
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Stability | |
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Routh-Hurwitz Stability Algorithms | |
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Graphical Methods | |
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Steady State Responses: System Type | |
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Dynamic Response: Bandwidth | |
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Robustness and Stability (Gain and Phase) Margins | |
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Multivariable Systems: Nyquist Diagram and Singular Values | |
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Problems | |
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Notes | |
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References | |
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Controllability and Observability | |
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Introduction | |
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Where Do Uncontrollable or Unobservable Systems Arise? | |
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Definitions and Conditions for Controllability and Observability | |
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Algebraic Conditions for Controllability and Observability | |
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Disturbances and Tracking Systems: Exogenous Variables | |
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Problems | |
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Notes | |
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References | |
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Shaping the Dynamic Response | |
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Introduction | |
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Design of Regulators for Single-Input, Single-Output Systems | |
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Multiple-Input Systems | |
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Disturbances and Tracking Systems: Exogenous Variables | |
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Where Should the Closed-Loop Poles Be Placed? | |
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Problems | |
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Notes | |
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References | |
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Linear Observers | |
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The Need for Observers | |
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Structure and Properties of Observers | |
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Pole-Placement for Single-Output Systems | |
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Disturbances and Tracking Systems: Exogenous Variables | |
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Reduced-Order Observers | |
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Problems | |
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Notes | |
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References | |
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Compensator Design by the Separation Principle | |
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The Separation Principle | |
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Compensators Designed Using Full-Order Observers | |
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Reduced-Order Observers | |
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Robustness: Effects of Modeling Errors | |
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Disturbances and Tracking Systems: Exogenous Variables | |
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Selecting Observer Dynamics: Robust Observers | |
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Summary of Design Process | |
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Problems | |
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Notes | |
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References | |
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Linear, Quadratic Optimum Control | |
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Why Optimum Control? | |
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Formulation of the Optimum Control Problem | |
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Quadratic Integrals and Matrix Differential Equations | |
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The Optimum Gain Matrix | |
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The Steady State Solution | |
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Disturbances and Reference Inputs: Exogenous Variables | |
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General Performance Integral | |
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Weighting of Performance at Terminal Time | |
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Problems | |
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Notes | |
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References | |
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Random Processes | |
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Introduction | |
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Conceptual Models for Random Processes | |
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Statistical Characteristics of Random Processes | |
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Power Spectral Density Function | |
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White Noise and Linear System Response | |
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Spectral Factorization | |
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Systems with State-Space Representation | |
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The Wiener Process and Other Integrals of Stationary Processes | |
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Problems | |
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Notes | |
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References | |
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Kalman Filters: Optimum Observers | |
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Background | |
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The Kalman Filter is an Observer | |
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Kalman Filter Gain and Variance Equations | |
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Steady State Kalman Filter | |
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The "Innovations" Process | |
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Reduced-Order Filters and Correlated Noise | |
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Stochastic Control: The Separation Theorem | |
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Choosing Noise for Robust Control | |
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Problems | |
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Notes | |
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References | |
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Matrix Algebra and Analysis | |
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Bibliography | |
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Index of Applications | |
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Index | |