The Control Systems Handbook
eBook - PDF

The Control Systems Handbook

Control System Advanced Methods, Second Edition

William S. Levine, William S. Levine

  1. 1,798 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

The Control Systems Handbook

Control System Advanced Methods, Second Edition

William S. Levine, William S. Levine

Book details
Table of contents
Citations

About This Book

At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by the AAP as the Best Engineering Handbook of 1996.

Now, 15 years later, William Levine has once again compiled the most comprehensive and authoritative resource on control engineering. He has fully reorganized the text to reflect the technical advances achieved since the last edition and has expanded its contents to include the multidisciplinary perspective that is making control engineering a critical component in so many fields.

Now expanded from one to three volumes, The Control Handbook, Second Edition organizes cutting-edge contributions from more than 200 leading experts. The third volume, Control System Advanced Methods, includes design and analysis methods for MIMO linear and LTI systems, Kalman filters and observers, hybrid systems, and nonlinear systems. It also covers advanced considerations regarding —

  • Stability
  • Adaptive controls
  • System identification
  • Stochastic control
  • Control of distributed parameter systems
  • Networks and networked controls

As with the first edition, the new edition not only stands as a record of accomplishment in control engineering but provides researchers with the means to make further advances. Progressively organized, the first two volumes in the set include:

  • Control System Fundamentals
  • Control System Applications

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Information

Publisher
CRC Press
Year
2018
ISBN
9781420073652
Edition
2
Topic
Tecnologia e ingegneria
Subtopic
Ingegneria elettronica e telecomunicazioni

Table of contents

  1. Front cover
  2. Contents
  3. Preface to the Second Edition
  4. Acknowledgments
  5. Editorial Board
  6. Editor
  7. Contributors
  8. Section I: Analysis Methods for MIMO Linear Systems
  9. Chapter 1. Numerical and Computational Issues in Linear Control and System Theory*
  10. Chapter 2. Multivariable Poles, Zeros, and Pole-Zero Cancellations
  11. Chapter 3. Fundamentals of Linear Time-Varying Systems
  12. Chapter 4. Balanced Realizations, Model Order Reduction, and the Hankel Operator
  13. Chapter 5. Geometric Theory of Linear Systems*
  14. Chapter 6. Polynomial and Matrix Fraction Descriptions
  15. Chapter 7. Robustness Analysis with Real Parametric Uncertainty
  16. Chapter 8. MIMO Frequency Response Analysis and the Singular Value Decomposition
  17. Chapter 9. Stability Robustness to Unstructured Uncertainty for Linear Time Invariant Systems
  18. Chapter 10. Trade-Offs and Limitations in Feedback Systems
  19. Chapter 11. Modeling Deterministic Uncertainty
  20. Section II: Kalman Filter and Observers
  21. Chapter 12. Linear Systems and White Noise
  22. Chapter 13. Kalman Filtering
  23. Chapter 14. Riccati Equations and Their Solution
  24. Chapter 15. Observers
  25. Section III: Design Methods for MIMO LTI Systems
  26. Chapter 16. Eigenstructure Assignment*
  27. Chapter 17. Linear Quadratic Regulator Control
  28. Chapter 18. H2 (LQG) and H Control
  29. Chapter 19. 1 Robust Control: Theory, Computation, and Design
  30. Chapter 20. The Structured Singular Value ( ) Framework
  31. Chapter 21. Algebraic Design Methods
  32. Chapter 22. Quantitative Feedback Theory (QFT) Technique
  33. Chapter 23. Robust Servomechanism Problem
  34. Chapter 24. Linear Matrix Inequalities in Control
  35. Chapter 25. Optimal Control
  36. Chapter 26. Decentralized Control
  37. Chapter 27. Decoupling
  38. Chapter 28. Linear Model Predictive Control in the Process Industries
  39. Section IV: Analysis and Design of Hybrid Systems
  40. Chapter 29. Computation of Reach Sets for Dynamical Systems
  41. Chapter 30. Hybrid Dynamical Systems: Stability and Stabilization
  42. Chapter 31. Optimal Control of Switching Systems via Embedding into Continuous Optimal Control Problem
  43. Section V: Adaptive Control
  44. Chapter 32. Automatic Tuning of PID Controllers
  45. Chapter 33. Self-Tuning Control
  46. Chapter 34. Model Reference Adaptive Control
  47. Chapter 35. Robust Adaptive Control
  48. Chapter 36. Iterative Learning Control
  49. Section VI: Analysis and Design of Nonlinear Systems
  50. Chapter 37. Nonlinear Zero Dynamics
  51. Chapter 38. The Lie Bracket and Control
  52. Chapter 39. Two Timescale and Averaging Methods
  53. Chapter 40. Volterra and Fliess Series Expansions for Nonlinear Systems
  54. Chapter 41. Integral Quadratic Constraints
  55. Chapter 42. Control of Nonholonomic and Underactuated Systems
  56. Section VII: Stability
  57. Chapter 43. Lyapunov Stability
  58. Chapter 44. Input-Output Stability
  59. Chapter 45. Input-to-State Stability
  60. Section VIII: Design
  61. Chapter 46. Feedback Linearization of Nonlinear Systems
  62. Chapter 47. The Steady-State Behavior of a Nonlinear System
  63. Chapter 48. Nonlinear Output Regulation
  64. Chapter 49. Lyapunov Design
  65. Chapter 50. Variable Structure, Sliding-Mode Controller Design
  66. Chapter 51. Control of Bifurcations and Chaos
  67. Chapter 52. Open-Loop Control Using Oscillatory Inputs
  68. Chapter 53. Adaptive Nonlinear Control
  69. Section IX: System Identification
  70. Chapter 54. Intelligent Control
  71. Chapter 55. Fuzzy Control
  72. Chapter 56. Neural Control
  73. Chapter 57. System Identification
  74. Section X: Stochastic Control
  75. Chapter 58. Discrete Time Markov Processes
  76. Chapter 59. Stochastic Differential Equations
  77. Chapter 60. Linear Stochastic Input-Output Models
  78. Chapter 61. Dynamic Programming
  79. Chapter 62. Approximate Dynamic Programming
  80. Chapter 63. Stability of Stochastic Systems
  81. Chapter 64. Stochastic Adaptive Control for Continuous-Time Linear Systems
  82. Chapter 65. Probabilistic and Randomized Tools for Control Design
  83. Chapter 66. Stabilization of Stochastic Nonlinear Continuous-Time Systems
  84. Section XI: Control of Distributed Parameter Systems
  85. Chapter 67. Control of Systems Governed by Partial Differential Equations
  86. Chapter 68. Controllability of Thin Elastic Beams and Plates
  87. Chapter 69. Control of the Heat Equation
  88. Chapter 70. Observability of Linear Distributed-Parameter Systems
  89. Chapter 71. Boundary Control of PDEs: The Backstepping Approach
  90. Chapter 72. Stabilization of Fluid Flows
  91. Section XII: Networks and Networked Controls
  92. Chapter 73. Control over Digital Networks
  93. Chapter 74. Decentralized Control and Algebraic Approaches
  94. Chapter 75. Estimation and Control across Analog Erasure Channels
  95. Chapter 76. Passivity Approach to Network Stability Analysis and Distributed Control Synthesis
  96. Index
  97. Back cover