Control system design : an introduction to state-space methods

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Control system design : an introduction to state-space methods / Bernard Friedland

資料種別:: 図書
出版情報:: New York ; Tokyo : McGraw-Hill, c1986
形態:: xiv, 513 p. ; 25 cm
シリーズ名:: McGraw-Hill series in electrical engineering ; . Control theory <BA00053791>
著者名:: Friedland, Bernard <DA02153352>
ISBN:: 9780070224414 [0070224412]
書誌ID:: BA03568404

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注記:

Bibliography: p. 498-501
Includes indexes

主題:

Automatic control; Control theory; State-space methods; System design

言語:

英語

目次情報:

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：

Feedback Control Engineering / 1.2：

Control Theory Background / 1.3：

Scope and Organization of This Book / 1.4：

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