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1.

図書
図書
1. 17th IFAC Symposium on System Identification (SYSID 2015) : Beijing, China 19-21 October 2015 (: [set] ; v. 1 ; v. 2)
editor, Yanlong Zhao
出版情報: New York : Elsevier , Red Hook, NY : Printed from e-media with permission by Curran Associates, 2016, c2015  2 v. (1488 p.) ; 28 cm
シリーズ名: IFAC PapersOnline ; v. 48, Issue 28
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2.

図書
図書
2. 18th IFAC Symposium on System Identification (SYSID 2018) : Stockholm, Sweden 9-11 July 2018 (: [set] ; Part 1 ; Part 2)
editor, Cristian Rojas
出版情報: New York : Elsevier , Red Hook, NY : Printed from e-media with permission by Curran Associates, 2019, c2018  2 v. (1109 p.) ; 28 cm
シリーズ名: IFAC PapersOnline ; v. 51, Issue 15
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3.

図書
図書
3. 19th IFAC Symposium on System Identification (SYSID 2021) : Padova, Italy 13-16 July 2021 (: pbk)
editor, Gianluigi Pillonetto
出版情報: Oxford : Elsevier , Red Hook, NY : Printed with permission by Curran Associates, 2021  832 p. ; 27 cm
シリーズ名: IFAC PapersOnline ; v. 54, issue 7
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4.

図書
図書
4. Robust stabilization against structured perturbations (: gw ; : us)
S.P. Bhattacharyya
出版情報: Berlin ; Tokyo : Springer-Verlag, c1987  ix, 172 p. ; 25 cm
シリーズ名: Lecture notes in control and information sciences ; 99
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5.

図書
図書
5. Optimization of stochastic systems : topics in discrete-time systems
Masanao Aoki
出版情報: New York : Academic Press, 1967  xv, 354 p. ; 24 cm
シリーズ名: Mathematics in science and engineering : a series of monographs and textbooks ; v. 32
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6.

図書
図書
6. Topics in control theory : a seminar given at the Forschungsinstitut für Mathematik, ETH, in 1964
Felix Albrecht
出版情報: Berlin ; New York : Springer-Verlag, 1968  65 p. ; 28 cm
シリーズ名: Lecture notes in mathematics ; 63
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7.

図書
図書
7. 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
8.

図書
図書
8. Introduction to stochastic control theory
Karl J. Åström
出版情報: New York : Academic Press, 1970  xi, 299 p. ; 24 cm
シリーズ名: Mathematics in science and engineering : a series of monographs and textbooks ; v. 70
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目次情報: 続きを見る
Preface
Contents
Overview / 1：
Methods of Operator Approximation in System Modelling / I：
Nonlinear Operator Approximation with Preassigned Accuracy / 2：
Introduction / 2.1：
Generic formulation of the problem / 2.2：
Operator approximation in space C([0; 1]) / 2.3：
Operator approximation in Banach spaces by polynomial operators / 2.4：
Approximation on compact sets in topological vector spaces / 2.5：
Approximation on noncompact sets in Hilbert spaces / 2.6：
Special results for maps into Banach spaces / 2.7：
Concluding remarks / 2.8：
Interpolation of Nonlinear Operators 65 / 3：
Lagrange interpolation in Banach spaces / 3.1：
Weak interpolation of nonlinear operators / 3.3：
Some related results / 3.4：
Realistic Operators and their Approximation / 3.5：
Formalization of concepts related to description of real-world objects / 4.1：
Approximation of RÂícontinuous operators / 4.3：
Methods of Best Approximation for Nonlinear Operators / 4.4：
Best Approximation of nonlinear operators in Banach spaces: Deterministic case / 5.1：
Estimation of mean and covariance matrix for random vectors / 5.3：
Best Hadamard-quadratic approximation / 5.4：
Best polynomial approximation / 5.5：
Best causal approximation / 5.6：
Best hybrid approximations / 5.7：
Optimal Estimation of Random Vectors / 5.8：
Computational Methods for Optimal Filtering of Stochastic Signals / 6：
Optimal linear Filtering in Finite dimensional vector spaces / 6.1：
Optimal linear Filtering in Hilbert spaces / 6.3：
Optimal causal linear Filtering with piecewise constant memory / 6.4：
Optimal causal polynomial Filtering with arbitrarily variable memory / 6.5：
Optimal nonlinear Filtering with no memory constraint / 6.6：
Computational Methods for Optimal Compression and Reconstruction of Random Data / 6.7：
Standard Principal Component Analysis and Karhunen-Loeeve transform (PCA{KLT) / 7.1：
Rank-constrained matrix approximations / 7.3：
Generic PCA{KLT / 7.4：
Optimal hybrid transform based on Hadamard-quadratic approximation / 7.5：
Optimal transform formed by a combination of nonlinear operators / 7.6：
Optimal generalized hybrid transform / 7.7：
Bibliography / 7.8：
Index
Preface
Contents
Overview / 1：
9.

図書
図書
9. Introduction to mathematical control theory (: pbk)
Stephen Barnett
出版情報: Oxford : Clarendon Press, 1975  viii, 264 p. ; 23 cm
シリーズ名: Oxford applied mathematics and computing science series ; 2
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10.

図書
図書
10. Impulse control and quasi-variational inequalities
By Alain Bensoussan and Jacques-louis Lioms
出版情報: Paris : Gauthier-Villars , Bristol : Hilger[m] , Paris : Bordas, c1984  xiv, 684 p ; 25 cm
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11.

図書
図書
11. Singular optimal control problems
[by] David J. Bell and David H. Jacobson
出版情報: London ; New York [etc.] : Academic Press, 1975  xi, 190 p. ; 24 cm
シリーズ名: Mathematics in science and engineering : a series of monographs and textbooks ; v. 117
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12.

図書
図書
12. Introduction to discrete linear controls : theory and application
by Albert B. Bishop
出版情報: New York : Academic Press, 1975  xiii, 378 p. ; 24 cm
シリーズ名: Operations research and industrial engineering
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13.

図書
図書
13. 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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14.

図書
図書
14. Factorization methods for discrete sequential estimation
Gerald J. Bierman
出版情報: New York : Academic Press, 1977  xvi, 241 p. ; 24 cm
シリーズ名: Mathematics in science and engineering : a series of monographs and textbooks ; v. 128
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15.

図書
図書
15. Dynamic programming and its application to optimal control
[by] R. Boudarel, J. Delmas [and] P. Guichet ; translated by R.N. McDonough
出版情報: New York : Academic Press, 1971  xiv, 252 p. ; 24 cm
シリーズ名: Mathematics in science and engineering : a series of monographs and textbooks ; v. 81
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16.

図書
図書
16. Applications of variational inequalities in stochastic control
Alain Bensoussan, Jacques-Louis Lions ; English version edited, prepared, and produced by Trans-Inter-Scientia
出版情報: Amsterdam ; New York : North-Holland Pub. Co. , New York : Sole distributors for the U.S.A. and Canada, Elsevier North-Holland, 1982  xi, 564 p. ; 23 cm
シリーズ名: Studies in mathematics and its applications ; v. 12
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17.

図書
図書
17. Control system design : an introduction to state-space methods
Bernard Friedland
出版情報: New York ; Tokyo : McGraw-Hill, c1986  xiv, 513 p. ; 25 cm
シリーズ名: McGraw-Hill series in electrical engineering ; . Control theory
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目次情報: 続きを見る
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：
18.

図書
図書
18. Recursive estimation and control for stochastic systems
Han-Fu Chen
出版情報: New York : Wiley, c1985  x, 378 p. ; 24 cm
シリーズ名: Wiley series in probability and mathematical statistics ; . Probability and mathematical statistics
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19.

図書
図書
19. Deterministic and stochastic optimal control (: us ; : gw)
Wendell H. Fleming, Raymond W. Rishel
出版情報: Berlin ; New York : Springer-Verlag, c1975  222 p. ; 24 cm
シリーズ名: Applications of mathematics ; 1
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目次情報: 続きを見る
The Simplest Problem in Calculus of Variations / 1：
The Optimal Control Problem / 2：
Existence and Continuity Properties of Optimal Controls / 3：
Dynamic Programming / 4：
Stochastic Differential Equations and Markov Diffusion Processes / 5：
Optimal Control of Markov Diffusion Processes / 6：
Appendices
The Simplest Problem in Calculus of Variations / 1：
The Optimal Control Problem / 2：
Existence and Continuity Properties of Optimal Controls / 3：
20.

図書
図書
20. Introduction to system sensitivity theory
Paul M. Frank
出版情報: New York : Academic Press, 1978  xiv, 386 p. ; 24 cm
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21.

図書
図書
21. Time-delay systems : analysis, optimization and applications
Manu Malek-Zavarei, Mohammad Jamshidi
出版情報: Amsterdam ; Tokyo : North-Holland , New York, N.Y., U.S.A. : Sole distributors for the U.S.A. and Canada, Elsevier Science, 1987  xvi, 504 p. ; 24 cm
シリーズ名: North-Holland systems and control series ; v. 9
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22.

図書
図書
22. 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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目次情報: 続きを見る
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：
23.

図書
図書
23. Automatic control systems. 5th ed
Benjamin C. Kuo
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, c1987  xiv, 720 p. ; 25 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：
24.

図書
図書
24. Modern control system theory
M. Gopal
出版情報: New York : Wiley, c1984  xviii, 644 p. ; 24 cm
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Linear Spaces and Linear Operators
State Variable Descriptions
Physical Systems and State Assignment
Solution of State Equations
Controllability and Observability
Relationship Between State Variable and Input-Output Descriptions
Stability
Modern Control
Optimal Control: General Mathematical Procedures
Optimal Feedback Control
Stochastic Optimal Linear Estimation and Control
Appendices
Index
Linear Spaces and Linear Operators
State Variable Descriptions
Physical Systems and State Assignment
25.

図書
図書
25. Optimal control
V.M. Alekseev, V.M. Tikhomirov, and S.V. Fomin ; translated from Russian by V.M. Volosov
出版情報: New York : Consultants Bureau, c1987  xiii, 309 p. ; 26 cm
シリーズ名: Contemporary Soviet mathematics
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26.

図書
図書
26. Discrete systems, analysis, control, and optimization (: Berlin ; : New York)
M.S. Mahmoud, M.G. Singh
出版情報: Berlin ; New York : Springer-Verlag, 1984  xvii, 669 p. ; 25 cm
シリーズ名: Communications and control engineering
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27.

図書
図書
27. Stability of nonlinear control systems
Solomon Lefschetz
出版情報: New York : Academic Press, 1965  xi, 150 p. ; 24 cm
シリーズ名: Mathematics in science and engineering : a series of monographs and textbooks ; v. 13
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28.

図書
図書
28. Optimal control theory (: us ; : gw)
L.D. Berkovitz
出版情報: New York ; Berlin : Springer-Verlag, 1974  ix, 304 p. ; 26 cm
シリーズ名: Applied mathematical sciences ; v. 12
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29.

図書
図書
29. Optimal planning for economic stabilization : the application of control theory to stabilization policy
Robert S. Pindyck
出版情報: Amsterdam : North-Holland, 1973  xii, 167 p. ; 23 cm
シリーズ名: Contributions to economic analysis ; 81
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30.

図書
図書
30. Process control : structures and applications
Jens G. Balchen, Kenneth I. Mummé
出版情報: New York : Van Nostrand Reinhold, c1988  ix, 540 p. ; 24 cm
シリーズ名: Van Nostrand Reinhold electrical/computer science and engineering series
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31.

図書
図書
31. Multivariable control : new concepts and tools
edited by Spyros G. Tzafestas
出版情報: Dordrecht, Holland ; Boston : D. Reidel Pub. Co. , Hingham, MA, U.S.A. : Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers, c1984  xxii, 502 p. ; 25 cm
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32.

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図書
32. Filtering for stochastic processes with applications to guidance
[by] Richard S. Bucy [and] Peter D. Joseph
出版情報: New York : Interscience Publishers, c1968  xviii, 195 p. ; 24 cm
シリーズ名: Interscience tracts in pure and applied mathematics ; no. 23
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33.

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33. Introduction to control theory, including optimal control (E. Horwood ; Halsted Press)
D.N. Burghes and A. Graham
出版情報: Chichester [Eng.] : E. Horwood , New York : Halsted Press, 1980  400 p. ; 24 cm
シリーズ名: Ellis Horwood series in mathematics and its applications
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34.

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34. Distributed control systems
A.G. Butkovskiy ; Translated from the Russian by Scripta Technica ; Translation editor: George M. Krane
出版情報: New York : American Elsevier, 1969  xv, 446 p, ; 24 cm
シリーズ名: Modern analytic and computational methods in science and mathematics ; v. 11
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35.

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35. Elements of control systems analysis : classical and modern approaches
[by] Chih-fan Chen [and] I. John Haas
出版情報: Englewood Cliffs, N.J. : Prentice-Hall, c1968  viii, 471 p. ; 23 cm
シリーズ名: Prentice-Hall electrical engineering series
Instrumentation and control series
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36.

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36. Econometric analysis by control methods
Gregory C. Chow
出版情報: New York : Wiley, c1981  xv, 320 p. ; 24 cm
シリーズ名: Wiley series in probability and mathematical statistics ; . Applied probability and statistics
A Wiley publication in applied statistics
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37.

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37. 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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38.

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38. Mathematical programming and control theory (: uk - : us : pbk)
B.D. Craven
出版情報: London : Chapman and Hall , New York : Wiley , New York : Distributed in the U.S.A. by Halsted Press, 1978  xi, 163 p. ; 23 cm
シリーズ名: Chapman and Hall mathematics series
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39.

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39. Control and coordination in hierarchical systems
W. Findeisen ... [et al.]
出版情報: Chichester [Eng.] ; New York : J. Wiley, c1980  x, 467 p. ; 24 cm
シリーズ名: International series on applied systems analysis ; 9
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40.

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図書
40. Introduction to optimal control theory (: us ; : gw)
Jack Macki, Aaron Strauss
出版情報: New York : Springer-Verlag, c1982  xiii, 165 p. ; 25 cm
シリーズ名: Undergraduate texts in mathematics
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41.

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41. Introduction to dynamic systems : theory, models, and applications
David G. Luenberger
出版情報: New York : Wiley, c1979  xiv, 446 p. ; 24 cm
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目次情報: 続きを見る
Difference and Differential Equations
Linear Algebra
Linear State Equations
Linear Systems with Constant Coefficients
Positive Linear Systems
Markov Chains
Concepts of Control
Analysis of Nonlinear Systems
Some Important Dynamic Systems
Optimal Control
References
Index
Difference and Differential Equations
Linear Algebra
Linear State Equations
42.

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42. Introduction to control theory
O. L. R. Jacobs
出版情報: Oxford : Clarendon Press, 1974  xii, 365 p. ; 24 cm
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43.

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43. Functional analysis and control theory : linear systems
Stefan Rolewicz
出版情報: Dordrecht ; Tokyo : D. Reidel , Warszawa : PWN-Polish Scientific Publishers , Norwell, MA, U.S.A. : Distributors for the U.S.A. and Canada, Kluwer Academic Publishers, c1987  xv, 524 p. ; 23 cm
シリーズ名: Mathematics and its applications ; East European series
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44.

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44. Control of distributed singular systems
Jacques-Louis Lions
出版情報: [Paris] : Gauthier-Villars, c1985  xxiv, 552 p. ; 25 cm
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45.

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45. Extensions of linear-quadratic control theory (U.S ; Germany)
D. H. Jacobson ... [et al.]
出版情報: Berlin ; New York : Springer-Verlag, 1980  xi, 288 p. ; 25 cm
シリーズ名: Lecture notes in control and information sciences ; 27
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46.

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46. Spatial time series : analysis-forecasting-control
R. J. Bennett
出版情報: London : Pion, c1979  674 p. ; 23 cm
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47.

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47. Stochastic control by functional analysis methods
Alain Bensoussan
出版情報: Amsterdam ; New York : North-Holland Pub. Co. , New York : Sole distributors for the U.S.A. and Canada, Elsevier North-Holland, 1982  xv, 410 p. ; 23 cm
シリーズ名: Studies in mathematics and its applications ; v. 11
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48.

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48. Infinite horizon optimal control : theory and applications (us ; gw)
D.A. Carlson, A. Haurie
出版情報: Berlin ; Tokyo : Springer-Verlag, c1987  xi, 254 p. ; 25 cm
シリーズ名: Lecture notes in economics and mathematical systems ; 290
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49.

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49. Optimal control and stochastic estimation : theory and applications (v. 1 ; v. 2)
Michael J. Grimble and Michael A. Johnson
出版情報: Chichester [West Sussex] ; New York : Wiley, c1988  2 v. ; 24 cm
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目次情報: 続きを見る
A Time Domain Analysis of Filtering and Smoothing Problems / Volume II：
Frequency Domain Analysis of Filtering and Smoothing Problems
Time Domain Analysis of the Optimal Stochastic Linear Control Problem
Extensions and Assessment of Time Domain Linear Quadratic Gaussian Controllers
Frequency Domain Analysis of Linear Stochastic Optimal Control Problems: A Polynomial Matrix Approach
Optimal Self-tuning Control Systems
Stochastic Industrial Control Systems
A Time Domain Analysis of Filtering and Smoothing Problems / Volume II：
Frequency Domain Analysis of Filtering and Smoothing Problems
Time Domain Analysis of the Optimal Stochastic Linear Control Problem
50.

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50. The computation and theory of optimal control
[by] Peter Dyer [and] Stephen R. McReynolds
出版情報: New York : Academic Press, 1970  x, 242 p. ; 24 cm
シリーズ名: Mathematics in science and engineering : a series of monographs and textbooks ; v. 65
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