2:20
Week 4 : Lecture 26 : Using MATLAB for Reinforcement Learning
NPTEL IIT Bombay
25:10
Week 4 : Lecture 20 : Data Driven PID Control
39:40
Week 4 : Lecture 21 : Data Driven PID Control (contd.)
24:15
Week 4 : Lecture 22 : Control and Learning
27:09
Week 4 : Lecture 23 : Control using Reinforcement Learning (RL)
25:30
Week 4 : Lecture 24 : Reinforcement learning based control for inverted pendulum
13:24
Week 4 : Lecture 25 : Policy Gradient based Reinforcement Learning
9:07
Week 4 : Lecture 27 : Course Summary
29:56
Week 3 : Lecture 13 : Overview of Control Techniques
21:22
Week 3 : Lecture 14 : Multivariable Control
47:22
Week 3 : Lecture 15 : Multivariable Control (contd.)
26:36
Week 3 : Lecture 16 : Decoupler Design
23:48
Week 3 : Lecture 17 : Feedback Decouplers and Centralized Controllers
37:18
Week 3 : Lecture 18 : Large Scale MIMO Systems
32:27
Week 3 : Lecture 19 : Understanding irreducible transfer functions
22:09
Week 2 : Lecture 7 : Selection of PID Controller
20:56
Week 2 : Lecture 8 : Designing Controllers in a Jugaad Way
15:47
Week 2 : Lecture 9 : To explain why jugaad works....
35:39
Week 2 : Lecture 10 : Feedforward Design
28:58
Week 2 : Lecture 11 : State-space methods - Feedforward Control
13:59
Week 2 : Lecture 12 : Internal Model Control (IMC)
22:18
Week 1 : Lecture 6 : PID Tuning Methods (contd.)
23:54
Week 1 : Lecture 5 : PID Tuning Methods
27:12
Week 1 : Lecture 4 : Disturbance Models and PID
15:37
Week 1 : Lecture 3 : Model Reduction
35:46
Week 1 : Lecture 2 : Process Model: Experimental Methods
22:30
Week 1 : Lecture 1 : Understanding PID Control
5:53
Course Introduction - Intelligent Feedback and Control
