Intelligent Systems and Control


Lecture 1 - Introduction to Intelligent Systems and Control


Lecture 2 - Linear Neural networks


Lecture 3 - Multi layered Neural Networks


Lecture 4 - Back Propagation Algorithm revisited


Lecture 5 - Non Linear System Analysis - Part I


Lecture 6 - Non Linear System Analysis - Part II


Lecture 7 - Radial Basis Function Networks


Lecture 8 - Adaptive Learning rate


Lecture 9 - Weight update rules


Lecture 10 - Recurrent networks Back propagation through time


Lecture 11 - Recurrent networks Real time recurrent learning


Lecture 12 - Self organizing Map - Multidimensional networks


Lecture 13 - Fuzzy sets - A Primer


Lecture 14 - Fuzzy Relations


Lecture 15 - Fuzzy Rule base and Approximate Reasoning


Lecture 16 - Introduction to Fuzzy Logic Control


Lecture 17 - Neural Control A review


Lecture 18 - Network inversion and Control


Lecture 19 - Neural Model of a Robot manipulator


Lecture 20 - Indirect Adaptive Control of a Robot manipulator


Lecture 21 - Adaptive neural control for Affine Systems SISO


Lecture 22 - Adaptive neural control for Affine systems MIMO


Lecture 23 - Visual Motor Coordination with KSOM


Lecture 24 - Visual Motor coordination - quantum clustering


Lecture 25 - Direct Adaptive control of Manipulators - Intro


Lecture 26 - NN based back stepping control


Lecture 27 - Fuzzy Control - a Review


Lecture 28 - Mamdani type flc and parameter optimization


Lecture 29 - Fuzzy Control of a pH reactor


Lecture 30 - Fuzzy Lyapunov controller - Computing with words


Lecture 31 - Controller Design for a T-S Fuzzy model


Lecture 32 - Linear controllers using T-S fuzzy model