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  1. 12 Mar 2023: A new version of the Optimization-Based Control (OBC) supplement is now complete and posted
  2. 16 Nov 2024: Python figure sources updated for python-control v0.10.1
  3. 24 Jul 2020: Copyedited version of FBS2e now available for download
  4. 28 Aug 2021: Links to first edition supplemental information added to chapter pages
  5. 30 Oct 2020: Notes on Linear Systems Theory updated (release 0.2.2)
  6. Admin
  7. Architecture and System Design
  8. Bibliography
  9. Bicycle dynamics
  10. Biomolecular Feedback Systems
  11. Congestion control
  12. Cruise control
  13. Domitilla Del Vecchio
  14. Dynamic Behavior
  15. Errata: 'a' in equation (14.13) should be 's'
  16. Errata: C matrix in Example 8.7 (vectored thrust aircraft) is incorrect
  17. Errata: Example 8.10 missing factor of v, a1 and a2 flipped
  18. Errata: feedforward term in control law for Example 7.5 is missing Le term
  19. Errata: sign errors in Example 5.18 (noise cancellation)
  20. Examples
  21. Exercise: Exploring the dynamics of a rolling mill
  22. Exercise: Popular articles about control
  23. FBS release 3.1.5
  24. Fbs.py
  25. Feedback Principles
  26. Feedback Systems: An Introduction for Scientists and Engineers
  27. Figure 1.11: A feedback system for controlling the velocity of a vehicle
  28. Figure 1.18: Air–fuel controller based on selectors
  29. Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom
  30. Figure 2.12: Responses of a static nonlinear system
  31. Figure 2.14: Responses of the systems with integral feedback
  32. Figure 2.19: System with positive feedback and saturation
  33. Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control
  34. Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters
  35. Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants
  36. Figure 3.12: Frequency response computed by measuring the response of individual sinusoids
  37. Figure 3.22: Queuing dynamics
  38. Figure 3.24: Consensus protocols for sensor networks
  39. Figure 3.26: The repressilator genetic regulatory network
  40. Figure 3.28: Response of a neuron to a current input
  41. Figure 3.2: Illustration of a state model
  42. Figure 3.4: Input/output response of a linear system
  43. Figure 3.8: Discrete-time simulation of the predator–prey model
  44. Figure 4.12: Internet congestion control
  45. Figure 4.13: Internet congestion control for N identical sources across a single link
  46. Figure 4.20: Simulation of the predator-prey system
  47. Figure 4.2: Torque curves for typical car engine
  48. Figure 4.3: Car with cruise control encountering a sloping road
  49. Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers
  50. Figure 5.11: Comparison between phase portraits for a nonlinear system and its linearization

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