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1. 12 Mar 2023: A new version of the Optimization-Based Control (OBC) supplement is now complete and posted
2. 24 Jul 2020: Copyedited version of FBS2e now available for download
3. 28 Aug 2021: Links to first edition supplemental information added to chapter pages
4. 30 Oct 2020: Notes on Linear Systems Theory updated (release 0.2.2)
5. Admin
6. Architecture and System Design
7. Bibliography
8. Biomolecular Feedback Systems
9. Cruise control
10. Domitilla Del Vecchio
11. Dynamic Behavior
12. Errata: 'a' in equation (14.13) should be 's'
13. Errata: Example 8.10 missing factor of v, a1 and a2 flipped
14. Examples
15. Exercise: Exploring the dynamics of a rolling mill
16. Exercise: Popular articles about control
17. FBS release 3.1.5
18. Fbs.py
19. Feedback Principles
20. Feedback Systems: An Introduction for Scientists and Engineers
21. Figure 1.11: A feedback system for controlling the velocity of a vehicle
22. Figure 1.18: Air–fuel controller based on selectors
23. Figure 2.11: Response to a step change in the reference signal for a system with a PI controller having two degrees of freedom
24. Figure 2.12: Responses of a static nonlinear system
25. Figure 2.14: Responses of the systems with integral feedback
26. Figure 2.19: System with positive feedback and saturation
27. Figure 2.8: Step responses for a first-order, closed loop system with proportional and PI control
28. Figure 2.9: Responses to a unit step change in the reference signal for different values of the design parameters
29. Figure 3.11: Simulation of the forced spring–mass system with different simulation time constants
30. Figure 3.12: Frequency response computed by measuring the response of individual sinusoids
31. Figure 3.22: Queuing dynamics
32. Figure 3.24: Consensus protocols for sensor networks
33. Figure 3.26: The repressilator genetic regulatory network
34. Figure 3.28: Response of a neuron to a current input
35. Figure 3.2: Illustration of a state model
36. Figure 3.4: Input/output response of a linear system
37. Figure 3.8: Discrete-time simulation of the predator–prey model
38. Figure 4.12: Internet congestion control
39. Figure 4.13: Internet congestion control for N identical sources across a single link
40. Figure 4.20: Simulation of the predator-prey system
41. Figure 4.2: Torque curves for typical car engine
42. Figure 4.3: Car with cruise control encountering a sloping road
43. Figure 5.10: Phase portraits for a congestion control protocol running with N = 60 identical source computers
44. Figure 5.11: Comparison between phase portraits for a nonlinear system and its linearization
45. Figure 5.1: Response of a damped oscillator
46. Figure 5.3: Phase portraits
47. Figure 5.4: Equilibrium points for an inverted pendulum
48. Figure 5.5: Phase portrait and time domain simulation for a system with a limit cycle
49. Figure 5.6: Illustration of Lyapunov’s concept of a stable solution
50. Figure 5.7: Phase portrait and time domain simulation for a system with a single stable equilibrium point

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