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

By: Friedland, Bernard .

Material type: materialTypeLabel

BookSeries: McGraw-Hill series in electrical engineeringControl theory.Publisher: New York : McGraw-Hill, 1986Description: xiv, 513 p. : ill. ; 25 cm.ISBN: 0070224412.Subject(s): Automatic control

| Control theory

| System design

| State-space methods

DDC classification: 629.8

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode	Item holds
General Lending	MTU Bishopstown Library Store Item	629.8 (Browse shelf(Opens below))	1	Available		00031580

Total holds: 0

Enhanced descriptions from Syndetics:

Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition.

Bibliography: p. (498-501). - Includes index.

Table of contents provided by Syndetics

Preface (p. xi)
Chapter 1 Feedback Control (p. 1)
1.1 The Mechanism of Feedback (p. 1)
1.2 Feedback Control Engineering (p. 6)
1.3 Control Theory Background (p. 8)
1.4 Scope and Organization of This Book (p. 10)
Notes (p. 12)
References (p. 13)
Chapter 2 State-Space Representation of Dynamic Systems (p. 14)
2.1 Mathematical Models (p. 14)
2.2 Physical Notion of System State (p. 16)
2.3 Block-Diagram Representations (p. 25)
2.4 Lagrange's Equations (p. 29)
2.5 Rigid Body Dynamics (p. 33)
2.6 Aerodynamics (p. 40)
2.7 Chemical and Energy Processes (p. 45)
Problems (p. 52)
Notes (p. 55)
References (p. 56)
Chapter 3 Dynamics of Linear Systems (p. 58)
3.1 Differential Equations Revisited (p. 58)
3.2 Solution of Linear Differential Equations in State-Space Form (p. 59)
3.3 Interpretation and Properties of the State-Transition Matrix (p. 65)
3.4 Solution by the Laplace Transform: The Resolvent (p. 68)
3.5 Input-Output Relations: Transfer Functions (p. 75)
3.6 Transformation of State Variables (p. 84)
3.7 State-Space Representation of Transfer Functions: Canonical Forms (p. 88)
Problems (p. 107)
Notes (p. 109)
References (p. 111)
Chapter 4 Frequency-Domain Analysis (p. 112)
4.1 Status of Frequency-Domain Methods (p. 112)
4.2 Frequency-Domain Characterization of Dynamic Behavior (p. 113)
4.3 Block-Diagram Algebra (p. 116)
4.4 Stability (p. 124)
4.5 Routh-Hurwitz Stability Algorithms (p. 128)
4.6 Graphical Methods (p. 133)
4.7 Steady State Responses: System Type (p. 156)
4.8 Dynamic Response: Bandwidth (p. 161)
4.9 Robustness and Stability (Gain and Phase) Margins (p. 169)
4.10 Multivariable Systems: Nyquist Diagram and Singular Values (p. 174)
Problems (p. 184)
Notes (p. 187)
References (p. 189)
Chapter 5 Controllability and Observability (p. 190)
5.1 Introduction (p. 190)
5.2 Where Do Uncontrollable or Unobservable Systems Arise? (p. 194)
5.3 Definitions and Conditions for Controllability and Observability (p. 203)
5.4 Algebraic Conditions for Controllability and Observability (p. 209)
5.5 Disturbances and Tracking Systems: Exogenous Variables (p. 216)
Problems (p. 218)
Notes (p. 219)
References (p. 221)
Chapter 6 Shaping the Dynamic Response (p. 222)
6.1 Introduction (p. 222)
6.2 Design of Regulators for Single-Input, Single-Output Systems (p. 224)
6.3 Multiple-Input Systems (p. 234)
6.4 Disturbances and Tracking Systems: Exogenous Variables (p. 236)
6.5 Where Should the Closed-Loop Poles Be Placed? (p. 243)
Problems (p. 254)
Notes (p. 257)
References (p. 258)
Chapter 7 Linear Observers (p. 259)
7.1 The Need for Observers (p. 259)
7.2 Structure and Properties of Observers (p. 260)
7.3 Pole-Placement for Single-Output Systems (p. 263)
7.4 Disturbances and Tracking Systems: Exogenous Variables (p. 267)
7.5 Reduced-Order Observers (p. 276)
Problems (p. 287)
Notes (p. 288)
References (p. 289)
Chapter 8 Compensator Design by the Separation Principle (p. 290)
8.1 The Separation Principle (p. 290)
8.2 Compensators Designed Using Full-Order Observers (p. 291)
8.3 Reduced-Order Observers (p. 298)
8.4 Robustness: Effects of Modeling Errors (p. 301)
8.5 Disturbances and Tracking Systems: Exogenous Variables (p. 310)
8.6 Selecting Observer Dynamics: Robust Observers (p. 314)
8.7 Summary of Design Process (p. 326)
Problems (p. 332)
Notes (p. 335)
References (p. 336)
Chapter 9 Linear, Quadratic Optimum Control (p. 337)
9.1 Why Optimum Control? (p. 337)
9.2 Formulation of the Optimum Control Problem (p. 338)
9.3 Quadratic Integrals and Matrix Differential Equations (p. 341)
9.4 The Optimum Gain Matrix (p. 343)
9.5 The Steady State Solution (p. 345)
9.6 Disturbances and Reference Inputs: Exogenous Variables (p. 350)
9.7 General Performance Integral (p. 364)
9.8 Weighting of Performance at Terminal Time (p. 365)
Problems (p. 369)
Notes (p. 375)
References (p. 377)
Chapter 10 Random Processes (p. 378)
10.1 Introduction (p. 378)
10.2 Conceptual Models for Random Processes (p. 379)
10.3 Statistical Characteristics of Random Processes (p. 381)
10.4 Power Spectral Density Function (p. 384)
10.5 White Noise and Linear System Response (p. 386)
10.6 Spectral Factorization (p. 393)
10.7 Systems with State-Space Representation (p. 396)
10.8 The Wiener Process and Other Integrals of Stationary Processes (p. 404)
Problems (p. 407)
Notes (p. 408)
References (p. 409)
Chapter 11 Kalman Filters: Optimum Observers (p. 411)
11.1 Background (p. 411)
11.2 The Kalman Filter is an Observer (p. 412)
11.3 Kalman Filter Gain and Variance Equations (p. 414)
11.4 Steady State Kalman Filter (p. 417)
11.5 The "Innovations" Process (p. 425)
11.6 Reduced-Order Filters and Correlated Noise (p. 427)
11.7 Stochastic Control: The Separation Theorem (p. 442)
11.8 Choosing Noise for Robust Control (p. 455)
Problems (p. 461)
Notes (p. 468)
References (p. 469)
Appendix Matrix Algebra and Analysis (p. 471)
Bibliography (p. 498)
Index of Applications (p. 503)
Index (p. 506)

Reviews provided by Syndetics

CHOICE Review

In the quarter century since control system engineers first became acquainted with the state-space method of dynamic system analysis, hundreds of research papers and dozens of books have been published without the method ever achieving widespread acceptance in the engineering profession outside of academia. Now we have a book that is the first successful applications-oriented book-it focuses on the design of a controller for feedback control systems. Friedland, internationally known for his research contributions to the field, makes it his business at the outset to explain why state-space methods should be of interest to the reader, and emphasizes this whenever a new topic is introduced. His book is a total success. The mix of descriptive passages (including historical notes) and quantitative material is near perfect. The result is that this reviewer was willing to tackle the matrix-analysis based mathematics with a sense of purpose. Every topic has a place in an overall scheme, and it all hangs together. The physical examples-from areas as diverse as instrument servos, missile guidance, and distillation columns-keep the presentation firmly anchored to reality. Problems and references are included in each chapter. Recommended for graduate or advanced undergraduate engineering students.-G. Weiss, Polytechnic Institute of New York