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1.

図書
図書
1. Introduction to control systems
D. K. Anand
出版情報: New York : Pergamon Press, c1974  xii, 384 p ; 24 cm
シリーズ名: Pergamon unified engineering series ; 18
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目次情報: 続きを見る
Introduction
Modeling of physical systems
Models for control systems
Time response - classical method
Time response - State equation method
Performance criteria
Assessing stability and performance
Control strategies and plant sizing
System compensation
Discrete time control systems
Non-linear control systems
Systems with stochastic inputs
Adaptive control systems
Laplace and Z-transforms
Symbols, units and analogous systems
Fundamentals of matrix theory
Computer software for control
Index
Introduction
Modeling of physical systems
Models for control systems
2.

図書
図書
2. Control systems: analysis, design, and simulation
[by] John W. Brewer
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, c1974  xii, 548 p ; 24 cm
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3.

図書
図書
3. Linear optimal control systems
Huibert Kwakernaak, Raphael Sivan
出版情報: New York : Wiley Interscience, c1972  xxv, 575 p. ; 24 cm
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Notation and Symbols
Elements of Linear System Theory / Chapter 1：
Introduction / 1.1：
State Description of Linear Systems / 1.2：
State Description of Nonlinear and Linear Differential Systems / 1.2.1：
Linearization / 1.2.2：
Examples / 1.2.3：
State Transformations / 1.2.4：
Solution of the State Differential Equation of Linear Systems / 1.3：
The Transition Matrix and the Impulse Response Matrix / 1.3.1：
The Transition Matrix of a Time-Invariant System / 1.3.2：
Diagonalization / 1.3.3：
The Jordan Form / 1.3.4：
Stability / 1.4：
Definitions of Stability / 1.4.1：
Stability of Time-Invariant Linear Systems / 1.4.2：
Stable and Unstable Subspaces for Time-Invariant Linear Systems / 1.4.3：
Investigation of the Stability of Nonlinear Systems through Linearization / 1.4.4：
Transform Analysis of Time-Invariant Systems / 1.5：
Solution of the State Differential Equation through Laplace Transformation / 1.5.1：
Frequency Response / 1.5.2：
Zeroes of Transfer Matrices / 1.5.3：
Interconnections of Linear Systems / 1.5.4：
Root Loci / 1.5.5：
Controllability / 1.6：
Definition of Controllability / 1.6.1：
Controllability of Linear Time-Invariant Systems / 1.6.2：
The Controllable Subspace / 1.6.3：
Stabilizability / 1.6.4：
Controllability of Time-Varying Linear Systems / 1.6.5：
Reconstructibility / 1.7：
Definition of Reconstructibility / 1.7.1：
Reconstructibility of Linear Time-Invariant Systems / 1.7.2：
The Unreconstructible Subspace / 1.7.3：
Detectability / 1.7.4：
Reconstructibility of Time-Varying Linear Systems / 1.7.5：
Duality of Linear Systems / 1.8：
Phase-Variable Canonical Forms / 1.9：
Vector Stochastic Processes / 1.10：
Definitions / 1.10.1：
Power Spectral Density Matrices / 1.10.2：
The Response of Linear Systems to Stochastic Inputs / 1.10.3：
Quadratic Expressions / 1.10.4：
The Response of Linear Differential Systems to White Noise / 1.11：
White Noise / 1.11.1：
Linear Differential Systems Driven by White Noise / 1.11.2：
The Steady-State Variance Matrix for the Time-Invariant Case / 1.11.3：
Modeling of Stochastic Processes / 1.11.4：
Quadratic Integral Expressions / 1.11.5：
Problems / 1.12：
Analysis of Linear Control Systems / Chapter 2：
The Formulation of Control Problems / 2.1：
The Formulation of Tracking and Regulator Problems / 2.2.1：
The Formulation of Terminal Control Problems / 2.2.3：
Closed-Loop Controllers / 2.3：
The Basic Design Objective
The Stability of Control Systems / 2.4：
The Steady-State Analysis of the Tracking Properties / 2.5：
The Steady-State Mean Square Tracking Error and Input / 2.5.1：
The Single-Input Single-Output Case / 2.5.2：
The Multiinput Multioutput Case / 2.5.3：
The Transient Analysis of the Tracking Properties / 2.6：
The Effects of Disturbances in the Single-Input Single-Output Case / 2.7：
The Effects of Observation Noise in the Single-Input Single-Output Case / 2.8：
The Effect of Plant Parameter Uncertainty in the Single-Input Single-Output Case / 2.9：
The Open-Loop Steady-State Equivalent Control Scheme / 2.10：
Conclusions / 2.11：
Optimal Linear State Feedback Control Systems / 2.12：
Stability Improvement of Linear Systems by State Feedback / 3.1：
Linear State Feedback Control / 3.2.1：
Conditions for Pole Assignment and Stabilization / 3.2.2：
The Deterministic Linear Optimal Regulator Problem / 3.3：
Solution of the Regulator Problem / 3.3.1：
Derivation of the Riccati Equation / 3.3.3：
Steady-State Solution of the Deterministic Linear Optimal Regulator Problem / 3.4：
Introduction and Summary of Main Results / 3.4.1：
Steady-State Properties of Optimal Regulators / 3.4.2：
Steady-State Properties of the Time-Invariant Optimal Regulator / 3.4.3：
Solution of the Time-Invariant Regulator Problem by Diagonalization / 3.4.4：
Numerical Solution of the Riccati Equation / 3.5：
Direct Integration / 3.5.1：
The Kalman-Englar Method / 3.5.2：
Solution by Diagonalization / 3.5.3：
Solution by the Newton-Raphson Method / 3.5.4：
Stochastic Linear Optimal Regulator and Tracking Problems / 3.6：
Regulator Problems with DisturbancesThe Stochastic Regulator Problem / 3.6.1：
Stochastic Tracking Problems / 3.6.2：
Solution of the Stochastic Linear Optimal Regulator Problem / 3.6.3：
Regulators and Tracking Systems with Nonzero Set Points and Constant Disturbances / 3.7：
Nonzero Set Points / 3.7.1：
Constant Disturbances / 3.7.2：
Asymptotic Properties of Time-Invariant Optimal Control Laws / 3.8：
Asymptotic Behavior of the Optimal Closed-Loop Poles / 3.8.1：
Asymptotic Properties of the Single-Input Single-Output Nonzero Set Point Regulator / 3.8.2：
The Maximally Achievable Accuracy of Regulators and Tracking Systems / 3.8.3：
Sensitivity of Linear State Feedback Control Systems / 3.9：
Optimal Linear Reconstruction of the State / 3.10：
Observers / 4.1：
Full-Order Observers / 4.2.1：
Conditions for Pole Assignment and Stabilization of Observers / 4.2.2：
Reduced-Order Observers / 4.2.3：
The Optimal Observer / 4.3：
A Stochastic Approach to the Observer Problem / 4.3.1：
The Nonsingular Optimal Observer Problem with Uncorretated State Excitation and Observation Noises / 4.3.2：
The Nonsingular Optimal Observer Problem with Correlated State Excitation and Observation Noises / 4.3.3：
The Time-Invariant Singular Optimal Observer Problem / 4.3.4：
The Colored Noise Observation Problem / 4.3.5：
Innovations / 4.3.6：
The Duality of the Optimal Observer and the Optimal Regulator / 4.4：
Steady-State Properties of the Optimal Observer
The Duality of the Optimal Regulator and the Optimal Observer Problem / 4.4.1：
Asymptotic Properties of Time-Invariant Steady-State Optimal Observers / 4.4.3：
Optimal Linear Output Feedback Control Systems / 4.5：
The Regulation of Linear Systems with Incomplete Measurements / 5.1：
The Structure of Output Feedback Control Systems / 5.2.1：
Conditions for Pole Assignment and Stabilization of Output Feedback Control Systems / 5.2.2：
Optimal Linear Regulators with Incomplete and Noisy Measurements / 5.3：
Problem Formulation and Solution / 5.3.1：
Evaluation of the Performance of Optimal Output Feedback Regulators / 5.3.2：
Proof of the Separation Principle / 5.3.3：
Linear Optimal Tracking Systems with Incomplete and Noisy Measurements / 5.4：
Sensitivity of Time-Invariant Optimal Linear Output Feedback Control Systems / 5.5：
Linear Optimal Output Feedback Controllers of Reduced Dimensions / 5.7：
Controllers of Reduced Dimensions / 5.7.1：
Numerical Determination of Optimal Controllers of Reduced Dimensions / 5.7.3：
Linear Optimal Control Theory for Discrete-Time Systems / 5.8：
Theory of Linear Discrete-Time Systems / 6.1：
State Description of Linear Discrete-Time Systems / 6.2.1：
Interconnections of Discrete-Time and Continuous-Time Systems / 6.2.3：
Solution of State Difference Equations / 6.2.4：
Transform Analysis of Linear Discrete-Time Systems / 6.2.5：
Duality / 6.2.7：
Discrete-Time Vector Stochastic Processes / 6.2.10：
Linear Discrete-Time Systems Driven by White Noise / 6.2.12：
Analysis of Linear Discrete-Time Control Systems / 6.3：
Discrete-Time Linear Control Systems / 6.3.1：
The Steady-State and the Transient Analysis of the Tracking Properties / 6.3.3：
Further Aspects of Linear Discrete-Time Control System Performance / 6.3.4：
Optimal Linear Discrete-Time State Feedback Control Systems / 6.4：
Stability Improvement by State Feedback / 6.4.1：
The Linear Discrete-Time Optimal Regulator Problem / 6.4.3：
Steady-State Solution of the Discrete-Time Regulator Problem / 6.4.4：
The Stochastic Discrete-Time Linear Optimal Regulator / 6.4.5：
Linear Discrete-Time Regulators with Non-zero Set Points and Constant Disturbances / 6.4.6：
Sensitivity / 6.4.7：
Optimal Linear Reconstruction of the State of Linear Discrete-Time Systems / 6.5：
The Formulation of Linear Discrete- / 6.5.1：
Notation and Symbols
Elements of Linear System Theory / Chapter 1：
Introduction / 1.1：
4.

図書
図書
4. An introduction to linear control systems
Thomas E. Fortmann, Konrad L. Hitz
出版情報: New York : M. Dekker, c1977  xiv, 744 p. ; 24 cm
シリーズ名: Control and systems theory / editor, Jerry M. Mendel ; associate editors, Karl J. Aström, Michael Athans, David G. Luenberger ; v. 5
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5.

雑誌
雑誌
5. RAIRO. Automatique = RAIRO. Systems analysis and control
Association française pour la cybernétique économique et technique
出版情報: Paris
巻次年月次: Vol. 11, no. 1 (Feb. 1977)-v. 18, no. 4 (1984)
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6.

図書
図書
6. Introduction to control system analysis and design
[by] Francis J. Hale
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, [1973]  xi, 338 p. ; 24 cm
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7.

図書
図書
7. Automatic control systems. 3rd ed
Benjamin C. Kuo
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, 1975  xi, 659 p. ; 24 cm
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目次情報: 続きを見る
Preface
Introduction / Chapter 1：
Mathematical Foundation / Chapter 2：
Block Diagrams and Signal-Flow Graphs / Chapter 3：
Modeling of Physical Systems / Chapter 4：
State Variable Analysis / Chapter 5：
Stability of Linear Control Systems / Chapter 6：
Time-Domain Analysis of Control Systems / Chapter 7：
Root-Locus Technique / Chapter 8：
Frequency-Domain Analysis / Chapter 9：
Design of Control Systems / Chapter 10：
The Virtual Lab / Chapter 11：
Index
Complex Variable Theory / Appendix A：
Differential and Difference Equations / Appendix B：
Elementary Matrix Theory and Algebra / Appendix C：
Laplace Transform Table / Appendix D：
Operational Amplifiers / Appendix E：
Properties and Construction of the Root Loci / Appendix F：
Frequency-Domain Plots / Appendix G：
General Nyquist Criterion / Appendix H：
Discrete-Data Control Systems / Appendix I：
z-Transform Table / Appendix J：
ACSYS 2002: Description of the Software / Appendix K：
Answers to Selected Problems
Preface
Introduction / Chapter 1：
Mathematical Foundation / Chapter 2：
8.

図書
図書
8. Introduction to control systems design. TMH ed.
by Virgil W. Eveleigh
出版情報: Bombay : Tata McGraw-Hill, 1972  xvi, 624 p. ; 23 cm
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9.

図書
図書
9. Modern control engineering
Katsuhiko Ogata
出版情報: Englewood Cliffs, N.J. : Prentice Hall, c1970  836 p. ; 25 cm
シリーズ名: Prentice-Hall electrical engineering series
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10.

図書
図書
10. Nonlinear control engineering
by D.P. Atherton
出版情報: New York : Van Nostrand Reinhold, 1975  xvii, 627 p. ; 24 cm
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