Intelligent Systems and Control

Intelligent Systems and Control
Lectures by Prof. Laxmidhar Behera, Department of Electrical Engineering, Indian Institute of Technology, Kanpur
Introduction - Intelligent Systems Control
Module 1 Lecture 1 Linear Neural networks
Module 1 Lecture 2 Multi layered neural networks
Module 1 lecture 3 Back Propagation Algorithm revisited
Module 1 lecture 4 Non linear system analysis Part 1
Module 1 lecture 5 non linear system analysis part 2
Module 1 lecture 6 Radial Basis function networks
Module 1 lecture 7 Adaptive learning rate
Module 1 Lecture 8 Weight update rules
Mod 1 Lec 9 Recurrent networks Back propagation through time
Mod 1 Lec 10 Recurrent networks Real time recurrent learning
Mod 1 Lec 11 Self organizing Map - Multidimensional networks
Module 2 Lecture 1 Fuzzy sets A Primer
Module 2 Lecture 2 Fuzzy Relations
Module 2 lecture 3 Fuzzy Rule base and Approximate Reasoning
Module 2 Lecture 4 Introduction to Fuzzy Logic Control
Module 3 Lecture 1 Neural Control A review
Module 3 Lecture 2 Network inversion and Control
Module 3 Lecture 3 Neural Model of a Robot manipulator
Mod 3 Lec 4 Indirect Adaptive Control of a Robot manipulator
Mod 3 Lect 5 Adaptive neural control for Affine Systems SISO
Mod 3 Lec 6 Adaptive neural control for Affine systems MIMO
Module 3 Lecture 7 Visual Motor Coordination with KSOM
Mod 3 Lec 8 Visual Motor coordination - quantum clustering
Mod 3 Lec 9 Direct Adaptive control of Manipulators - Intro
Module 3 Lecture 10 NN based back stepping control
Module 4 lecture 1 Fuzzy Control - a Review
Mod 4 Lec 2 Mamdani type flc and parameter optimization
Module 4 Lecture 3 Fuzzy Control of a pH reactor
Mod 4 Lec 4 Fuzzy Lyapunov controller - Computing with words
IMod 4 Lect 5 Controller Design for a T-S Fuzzy model