Control Bootcamp

Control Bootcamp

Steve Brunton via YouTube Direct link

Control Bootcamp: Overview

1 of 47

1 of 47

Control Bootcamp: Overview

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Classroom Contents

Control Bootcamp

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  1. 1 Control Bootcamp: Overview
  2. 2 Linear Systems [Control Bootcamp]
  3. 3 Stability and Eigenvalues [Control Bootcamp]
  4. 4 Linearizing Around a Fixed Point [Control Bootcamp]
  5. 5 Controllability [Control Bootcamp]
  6. 6 Controllability, Reachability, and Eigenvalue Placement [Control Bootcamp]
  7. 7 Controllability and the Discrete-Time Impulse Response [Control Bootcamp]
  8. 8 Degrees of Controllability and Gramians [Control Bootcamp]
  9. 9 Controllability and the PBH Test [Control Bootcamp]
  10. 10 Cayley-Hamilton Theorem [Control Bootcamp]
  11. 11 Reachability and Controllability with Cayley-Hamilton [Control Bootcamp]
  12. 12 Inverted Pendulum on a Cart [Control Bootcamp]
  13. 13 Pole Placement for the Inverted Pendulum on a Cart [Control Bootcamp]
  14. 14 Linear Quadratic Regulator (LQR) Control for the Inverted Pendulum on a Cart [Control Bootcamp]
  15. 15 Motivation for Full-State Estimation [Control Bootcamp]
  16. 16 Control Bootcamp: Observability
  17. 17 Control Bootcamp: Full-State Estimation
  18. 18 The Kalman Filter [Control Bootcamp]
  19. 19 Control Bootcamp: Observability Example in Matlab
  20. 20 Control Bootcamp: Observability Example in Matlab (Part 2)
  21. 21 Control Bootcamp: Kalman Filter Example in Matlab
  22. 22 Control Bootcamp: Linear Quadratic Gaussian (LQG)
  23. 23 Control Bootcamp: LQG Example in Matlab
  24. 24 Control Bootcamp: Introduction to Robust Control
  25. 25 Control Bootcamp: Three Equivalent Representations of Linear Systems
  26. 26 Control Bootcamp: Example Frequency Response (Bode Plot) for Spring-Mass-Damper
  27. 27 Control Bootcamp: Laplace Transforms and the Transfer Function
  28. 28 Control Bootcamp: Benefits of Feedback on Cruise Control Example
  29. 29 Control Bootcamp: Benefits of Feedback on Cruise Control Example (Part 2)
  30. 30 Control Bootcamp: Cruise Control Example with Proportional-Integral (PI) control
  31. 31 Control Bootcamp: Sensitivity and Complementary Sensitivity
  32. 32 Control Bootcamp: Sensitivity and Complementary Sensitivity (Part 2)
  33. 33 Control Bootcamp: Loop shaping
  34. 34 Control Bootcamp: Loop Shaping Example for Cruise Control
  35. 35 Control Bootcamp: Sensitivity and Robustness
  36. 36 Control Bootcamp: Limitations on Robustness
  37. 37 Control Bootcamp: Cautionary Tale About Inverting the Plant Dynamics
  38. 38 Control systems with non-minimum phase dynamics
  39. 39 Control Theory and COVID-19
  40. 40 Control Theory and COVID-19: Sensors
  41. 41 Control Theory and COVID-19: Summary
  42. 42 Control Theory and COVID-19: Models
  43. 43 Control Theory and COVID-19: Control Design
  44. 44 Reinforcement Learning: Machine Learning Meets Control Theory
  45. 45 Deep Reinforcement Learning: Neural Networks for Learning Control Laws
  46. 46 Model Predictive Control
  47. 47 Deep Reinforcement Learning for Fluid Dynamics and Control

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