Intelligent Systems and Control

Course Description

In this course, Professor Laxmidhar Behera gives an introduction to the principal areas, problems, and concepts of Electrical Engineering, such as Intelligent Systems Control, Linear Neural networks, Neural Model of Robot manipulators, the Indirect Adaptive Control of a Robot manipulator, Controller Designs and the Fuzzy Control of a pH reactor.

The original name for this course is: Electrical - Intelligent Systems and Control. This course has 32 video lectures on Electrical Engineering, by Prof. Laxmidhar Behera, Department of Electrical Engineering, Indian Institute of Technology, Kanpur. (NPTEL)

Intelligent Systems and Control
Prof. Laxmidhar Behera on Intelligent Systems and Control.
1 rating

Video Lectures & Study Materials

# Lecture Play Lecture
1 Introduction to the Course (59:28) Play Video
2 Linear Neural Networks (58:49) Play Video
3 Multilayered Neural Networks (1:00:00) Play Video
4 Back Propagation Algorithm Revisited (1:00:25) Play Video
5 Non Linear System Analysis I (1:00:26) Play Video
6 Non Linear System Analysis II (58:14) Play Video
7 Radial Basis Function Networks (58:32) Play Video
8 Adaptive Learning Rate (1:00:49) Play Video
9 Weight Update Rules (1:00:52) Play Video
10 Recurrent Networks Back Propagation Through Time (57:31) Play Video
11 Recurrent Networks Real Time Recurrent Learning (56:57) Play Video
12 Self Organizing Map - Multidimensional Networks (55:02) Play Video
13 Fuzzy Sets A Primer (59:19) Play Video
14 Fuzzy Relations (1:00:00) Play Video
15 Fuzzy Rule Base and Approximate Reasoning (1:00:17) Play Video
16 Introduction to Fuzzy Logic Control (1:01:04) Play Video
17 Rule Based Systems II (56:31) Play Video
17 Network Inversion and Control (1:01:03) Play Video
18 Neural Control Review (56:18) Play Video
18 Semantic Net (57:05) Play Video
19 Network Inversion and Control (1:01:03) Play Video
19 Reasoning in Semantic Net (56:41) Play Video
20 Neural Model of a Robot Manipulator (56:13) Play Video
21 Indirect Adaptive Control of a Robot Manipulator (1:00:48) Play Video
22 Adaptive Neural Control for Affine Systems SISO (54:06) Play Video
23 Adaptive Neural Control for Affine Systems MIMO (52:53) Play Video
24 Visual Motor Coordination with KSOM (51:48) Play Video
25 Visual Motor Coordination Using Quantum Clustering (53:30) Play Video
26 Direct Adaptive Control of Manipulators: Introduction (55:54) Play Video
27 NN Based Back Stepping Control (58:15) Play Video
28 Fuzzy Control: A Review (1:00:42) Play Video
29 Mamdani Type Flc and Parameter Optimization (57:06) Play Video
30 Fuzzy Control of a pH Reactor (59:12) Play Video
31 Fuzzy Lyapunov Controller: Computing with Words (56:57) Play Video
32 Controller Design for a T-S Fuzzy Model (59:29) Play Video
33 Linear Controllers Using T-S Fuzzy Model (59:31) Play Video

Comments

Displaying 6 comments:

pumaasimo wrote 13 years ago.
tank you

pumaasimo wrote 13 years ago.
tank u

sightes wrote 13 years ago.
Thanks this class help me a lot !

Sebastian Ulloa wrote 13 years ago.
Thanks !!!! that video help me a lot for understand the BPTT

mohammad wrote 13 years ago.
thank you

mohammad wrote 13 years ago.
thank you

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