Industrial Control Systems

Industrial Control Systems

by Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni
Released April 2016
Publisher(s): CRC Press
ISBN: 9781420075595

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Book description

This book presents the mathematical foundation for building and implementing industrial control systems. It contains mathematically rigorous models and techniques for control systems in general with specific orientation toward industrial systems. Industrial control encompasses several types of control systems. This book covers some common elements of industrial control systems, including supervisory control and data acquisition systems, distributed control systems, and other generic control system configurations such as programmable logic controllers, which are often found in industrial operations and engineering infrastructure.

Table of contents

  1. Front Cover (1/2)
  2. Front Cover (2/2)
  3. Contents (1/2)
  4. Contents (2/2)
  5. Preface
  6. Acknowledgments
  7. Authors
  8. Chapter 1: Mathematical modeling for product design (1/4)
  9. Chapter 1: Mathematical modeling for product design (2/4)
  10. Chapter 1: Mathematical modeling for product design (3/4)
  11. Chapter 1: Mathematical modeling for product design (4/4)
  12. Chapter 2: Dynamic fuzzy systems modeling (1/4)
  13. Chapter 2: Dynamic fuzzy systems modeling (2/4)
  14. Chapter 2: Dynamic fuzzy systems modeling (3/4)
  15. Chapter 2: Dynamic fuzzy systems modeling (4/4)
  16. Chapter 3: Stochastic systems modeling (1/8)
  17. Chapter 3: Stochastic systems modeling (2/8)
  18. Chapter 3: Stochastic systems modeling (3/8)
  19. Chapter 3: Stochastic systems modeling (4/8)
  20. Chapter 3: Stochastic systems modeling (5/8)
  21. Chapter 3: Stochastic systems modeling (6/8)
  22. Chapter 3: Stochastic systems modeling (7/8)
  23. Chapter 3: Stochastic systems modeling (8/8)
  24. Chapter 4: Systems optimization techniques (1/5)
  25. Chapter 4: Systems optimization techniques (2/5)
  26. Chapter 4: Systems optimization techniques (3/5)
  27. Chapter 4: Systems optimization techniques (4/5)
  28. Chapter 4: Systems optimization techniques (5/5)
  29. Chapter 5: Statistical control techniques (1/12)
  30. Chapter 5: Statistical control techniques (2/12)
  31. Chapter 5: Statistical control techniques (3/12)
  32. Chapter 5: Statistical control techniques (4/12)
  33. Chapter 5: Statistical control techniques (5/12)
  34. Chapter 5: Statistical control techniques (6/12)
  35. Chapter 5: Statistical control techniques (7/12)
  36. Chapter 5: Statistical control techniques (8/12)
  37. Chapter 5: Statistical control techniques (9/12)
  38. Chapter 5: Statistical control techniques (10/12)
  39. Chapter 5: Statistical control techniques (11/12)
  40. Chapter 5: Statistical control techniques (12/12)
  41. Chapter 6: Design of experiment techniques (1/10)
  42. Chapter 6: Design of experiment techniques (2/10)
  43. Chapter 6: Design of experiment techniques (3/10)
  44. Chapter 6: Design of experiment techniques (4/10)
  45. Chapter 6: Design of experiment techniques (5/10)
  46. Chapter 6: Design of experiment techniques (6/10)
  47. Chapter 6: Design of experiment techniques (7/10)
  48. Chapter 6: Design of experiment techniques (8/10)
  49. Chapter 6: Design of experiment techniques (9/10)
  50. Chapter 6: Design of experiment techniques (10/10)
  51. Chapter 7: Risk analysis and estimation techniques (1/8)
  52. Chapter 7: Risk analysis and estimation techniques (2/8)
  53. Chapter 7: Risk analysis and estimation techniques (3/8)
  54. Chapter 7: Risk analysis and estimation techniques (4/8)
  55. Chapter 7: Risk analysis and estimation techniques (5/8)
  56. Chapter 7: Risk analysis and estimation techniques (6/8)
  57. Chapter 7: Risk analysis and estimation techniques (7/8)
  58. Chapter 7: Risk analysis and estimation techniques (8/8)
  59. Chapter 8: Mathematical modeling and control of multi- constrained projects (1/5)
  60. Chapter 8: Mathematical modeling and control of multi- constrained projects (2/5)
  61. Chapter 8: Mathematical modeling and control of multi- constrained projects (3/5)
  62. Chapter 8: Mathematical modeling and control of multi- constrained projects (4/5)
  63. Chapter 8: Mathematical modeling and control of multi- constrained projects (5/5)
  64. Chapter 9: Online support vector regression with varying parameters for time-dependent data (1/4)
  65. Chapter 9: Online support vector regression with varying parameters for time-dependent data (2/4)
  66. Chapter 9: Online support vector regression with varying parameters for time-dependent data (3/4)
  67. Chapter 9: Online support vector regression with varying parameters for time-dependent data (4/4)
  68. Appendix: Mathematical and engineering formulae (1/15)
  69. Appendix: Mathematical and engineering formulae (2/15)
  70. Appendix: Mathematical and engineering formulae (3/15)
  71. Appendix: Mathematical and engineering formulae (4/15)
  72. Appendix: Mathematical and engineering formulae (5/15)
  73. Appendix: Mathematical and engineering formulae (6/15)
  74. Appendix: Mathematical and engineering formulae (7/15)
  75. Appendix: Mathematical and engineering formulae (8/15)
  76. Appendix: Mathematical and engineering formulae (9/15)
  77. Appendix: Mathematical and engineering formulae (10/15)
  78. Appendix: Mathematical and engineering formulae (11/15)
  79. Appendix: Mathematical and engineering formulae (12/15)
  80. Appendix: Mathematical and engineering formulae (13/15)
  81. Appendix: Mathematical and engineering formulae (14/15)
  82. Appendix: Mathematical and engineering formulae (15/15)
  83. Back Cover

Product information

  • Title: Industrial Control Systems
  • Author(s): Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni
  • Release date: April 2016
  • Publisher(s): CRC Press
  • ISBN: 9781420075595