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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. Biomolecular Feedback Systems
10. Cruise control
11. Domitilla Del Vecchio
12. Dynamic Behavior
13. Errata: 'a' in equation (14.13) should be 's'
14. Errata: C matrix in Example 8.7 (vectored thrust aircraft) is incorrect
15. Errata: Example 8.10 missing factor of v, a1 and a2 flipped
16. Errata: feedforward term in control law for Example 7.5 is missing Le term
17. Examples
18. Exercise: Exploring the dynamics of a rolling mill
19. Exercise: Popular articles about control
20. FBS release 3.1.5
21. Fbs.py
22. Feedback Principles
23. Feedback Systems: An Introduction for Scientists and Engineers
24. Figure 1.11: A feedback system for controlling the velocity of a vehicle
25. Figure 1.18: Air–fuel controller based on selectors
26. Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom
27. Figure 2.12: Responses of a static nonlinear system
28. Figure 2.14: Responses of the systems with integral feedback
29. Figure 2.19: System with positive feedback and saturation
30. Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control
31. Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters
32. Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants
33. Figure 3.12: Frequency response computed by measuring the response of individual sinusoids
34. Figure 3.22: Queuing dynamics
35. Figure 3.24: Consensus protocols for sensor networks
36. Figure 3.26: The repressilator genetic regulatory network
37. Figure 3.28: Response of a neuron to a current input
38. Figure 3.2: Illustration of a state model
39. Figure 3.4: Input/output response of a linear system
40. Figure 3.8: Discrete-time simulation of the predator–prey model
41. Figure 4.12: Internet congestion control
42. Figure 4.13: Internet congestion control for N identical sources across a single link
43. Figure 4.20: Simulation of the predator-prey system
44. Figure 4.2: Torque curves for typical car engine
45. Figure 4.3: Car with cruise control encountering a sloping road
46. Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers
47. Figure 5.11: Comparison between phase portraits for a nonlinear system and its linearization
48. Figure 5.12: Stability analysis for a tanker
49. Figure 5.13: Solution curves for a stable limit cycle
50. Figure 5.15: Stability of a genetic switch

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