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  1. Figure 5.12: Stability analysis for a tanker
  2. Figure 5.13: Solution curves for a stable limit cycle
  3. Figure 5.15: Stability of a genetic switch
  4. Figure 5.16: Dynamics of a genetic switch
  5. Figure 5.17: Stabilized inverted pendulum
  6. Figure 5.18: Bifurcation analysis of the predator–prey system
  7. Figure 5.19: Stability plots for a bicycle moving at constant velocity
  8. Figure 5.1: Response of a damped oscillator
  9. Figure 5.21: Simulation of noise cancellation
  10. Figure 5.3: Phase portraits
  11. Figure 5.4: Equilibrium points for an inverted pendulum
  12. Figure 5.5: Phase portrait and time domain simulation for a system with a limit cycle
  13. Figure 5.6: Illustration of Lyapunov’s concept of a stable solution
  14. Figure 5.7: Phase portrait and time domain simulation for a system with a single stable equilibrium point
  15. Figure 5.8: Phase portrait and time domain simulation for a system with a single asymptotically stable equilibrium point
  16. Figure 5.9: Phase portrait and time domain simulation for a system with a single unstable equilibrium point
  17. Figure 6.10: Response of a compartment model to a constant drug infusion
  18. Figure 6.12: Active band-pass filter
  19. Figure 6.13: AFM frequency response
  20. Figure 6.14: Linear versus nonlinear response for a vehicle with PI cruise control
  21. Figure 6.1: Superposition of homogeneous and particular solutions
  22. Figure 6.5: Modes for a second-order system with real eigenvalues
  23. Figure 7.6: State feedback control of a steering system
  24. Figure 8.13: Vehicle steering using gain scheduling
  25. Frequency Domain Analysis
  26. Frequency Domain Design
  27. Fundamental Limits
  28. Introduction
  29. Karl J. Åström
  30. LST release 0.2.2
  31. Lecture: Introduction to Feedback and Control (Caltech, Fall 2008)
  32. Lecture: Introduction to Feedback and Control (Caltech, Spring 2024)
  33. Linear Systems
  34. Main Page
  35. OBC: Archived news
  36. Output Feedback
  37. PID Control
  38. Predator-prey dynamics
  39. Preface
  40. Question: Can a control system include a human operator as a component?
  41. Question: How are stability, performance and robustness different?
  42. Question: How can I go from a continuous time linear ODE to a discrete time representation?
  43. Question: How can we tell from the phase plots if the system is oscillating?
  44. Question: How do you know when your model is sufficiently complex?
  45. Question: In the predator prey example, where is the fox birth rate term?
  46. Question: What is "closed form"?
  47. Question: What is a state? How does one determine what is a state and what is not?
  48. Question: What is a stochastic system?
  49. Question: What is the advantage of having a model?
  50. Question: What is the definition of a system?

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