Lecture 1 - Understanding PID Control
Lecture 2 - Process Model: Experimental Methods
Lecture 3 - Model Reduction
Lecture 4 - Disturbance Models and PID
Lecture 5 - PID Tuning Methods
Lecture 6 - PID Tuning Methods (Continued...)
Lecture 7 - Selection of PID Controller
Lecture 8 - Designing Controllers in a Jugaad Way
Lecture 9 - To explain why jugaad works....
Lecture 10 - Feedforward Design
Lecture 11 - State-space methods - Feedforward Control
Lecture 12 - Internal Model Control (IMC)
Lecture 13 - Overview of Control Techniques
Lecture 14 - Multivariable Control
Lecture 15 - Multivariable Control (Continued...)
Lecture 16 - Decoupler Design
Lecture 17 - Feedback Decouplers and Centralized Controllers
Lecture 18 - Large Scale MIMO Systems
Lecture 19 - Understanding irreducible transfer functions
Lecture 20 - Data Driven PID Control
Lecture 21 - Data Driven PID Control (Continued...)
Lecture 22 - Control and Learning
Lecture 23 - Control using Reinforcement Learning (RL)
Lecture 24 - Reinforcement learning based control for inverted pendulum
Lecture 25 - Policy Gradient based Reinforcement Learning
Lecture 26 - Using MATLAB for Reinforcement Learning
Lecture 27 - Course Summary
