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