Intelligent Systems and Contro.. - IIT_Kanpur

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Introduction - Intelligent Systems Control

IIT_Kanpur

00:59:29

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Module 1 Lecture 1 Linear Neural networks

IIT_Kanpur

00:58:50

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Module 1 Lecture 2 Multi layered neural networks

IIT_Kanpur

01:00:01

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Module 1 lecture 3 Back Propagation Algorithm revisited

IIT_Kanpur

01:00:26

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Module 1 lecture 4 Non linear system analysis Part 1

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01:00:27

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Module 1 lecture 5 non linear system analysis part 2

IIT_Kanpur

00:58:15

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Module 1 lecture 6 Radial Basis function networks

IIT_Kanpur

00:58:33

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Module 1 lecture 7 Adaptive learning rate

IIT_Kanpur

01:00:49

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Module 1 Lecture 8 Weight update rules

IIT_Kanpur

01:00:52

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Mod 1 Lec 9 Recurrent networks Back propagation through time

IIT_Kanpur

00:57:32

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Mod 1 Lec 10 Recurrent networks Real time recurrent learning

IIT_Kanpur

00:56:58

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Mod 1 Lec 11 Self organizing Map - Multidimensional networks

IIT_Kanpur

00:55:03

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Module 2 Lecture 1 Fuzzy sets A Primer

IIT_Kanpur

00:59:20

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Module 2 Lecture 2 Fuzzy Relations

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01:00:01

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Module 2 lecture 3 Fuzzy Rule base and Approximate Reasoning

IIT_Kanpur

01:00:18

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Module 2 Lecture 4 Introduction to Fuzzy Logic Control

IIT_Kanpur

01:01:05

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Module 3 Lecture 1 Neural Control A review

IIT_Kanpur

00:56:19

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Module 3 Lecture 2 Network inversion and Control

IIT_Kanpur

01:01:04

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Module 3 Lecture 3 Neural Model of a Robot manipulator

IIT_Kanpur

00:56:14

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Mod 3 Lec 4 Indirect Adaptive Control of a Robot manipulator

IIT_Kanpur

01:00:48

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Mod 3 Lect 5 Adaptive neural control for Affine Systems SISO

IIT_Kanpur

00:54:06

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Mod 3 Lec 6 Adaptive neural control for Affine systems MIMO

IIT_Kanpur

00:52:54

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Module 3 Lecture 7 Visual Motor Coordination with KSOM

IIT_Kanpur

00:51:48

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Mod 3 Lec 8 Visual Motor coordination - quantum clustering

IIT_Kanpur

00:53:30

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Mod 3 Lec 9 Direct Adaptive control of Manipulators - Intro

IIT_Kanpur

00:55:55

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Module 3 Lecture 10 NN based back stepping control

IIT_Kanpur

00:58:16

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Module 4 lecture 1 Fuzzy Control - a Review

IIT_Kanpur

01:00:43

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Mod 4 Lec 2 Mamdani type flc and parameter optimization

IIT_Kanpur

00:57:07

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Module 4 Lecture 3 Fuzzy Control of a pH reactor

IIT_Kanpur

00:59:13

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Mod 4 Lec 4 Fuzzy Lyapunov controller - Computing with words

IIT_Kanpur

00:56:57

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IMod 4 Lect 5 Controller Design for a T-S Fuzzy model

IIT_Kanpur

00:59:30

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Module 4 Lecture 6 Linear controllers using T-S fuzzy model

IIT_Kanpur

00:59:32

Introduction - Intelligent Systems Control

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İçinde Mühendislik / Makine Mühendisliği

Lectures by Prof. Laxmidhar Behera, Department of Electrical Engineering, Indian Institute of Technology, Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in

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