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Intelligent Systems and Control

Intelligent Systems and Control. Instructor: Prof. Laxmidhar Behera, Department of Electrical Engineering, IIT Kanpur. This course provides an introduction to the basics of intelligent systems and control. Topics covered include: artificial neural networks, backpropagation networks, radial basis function networks, recurrent networks, fuzzy logic, fuzzy and expert control, fuzzy neural networks, adaptive control using neural and fuzzy neural networks, applications to pH reactor control, flight control, and robot manipulator dynamic control. (from nptel.ac.in)

Lecture 29 - Fuzzy Control of a pH Reactor

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Lecture 01 - Introduction to Intelligent Systems and Control

Lecture 02 - Linear Neural Networks

Lecture 03 - Multilayered Neural Networks

Lecture 04 - Backpropagation Algorithm Revisited

Lecture 05 - Nonlinear System Analysis, Part I

Lecture 06 - Nonlinear System Analysis, Part II

Lecture 07 - Radial Basis Function Networks

Lecture 08 - Adaptive Learning Rate

Lecture 09 - Weight Update Rules

Lecture 10 - Recurrent Networks: Backpropagation 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 - Neural 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: Introduction

Lecture 26 - NN based Backstepping 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 Takagi-Sugeno Fuzzy Model

Lecture 32 - Linear Controllers using Takagi-Sugeno Fuzzy Model