Learn · Intelligent Systems and Control
Lecture 15 of 32Module2
Fuzzy Rule base and Approximate Reasoning
Prof. Laxmidhar Behera · IIT Kanpur
Credits and licence
- From
- Intelligent Systems and Control, IIT Kanpur (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- Introduction to Intelligent Systems and Control
- Linear Neural networks
- Multi layered Neural Networks
- Back Propagation Algorithm revisited
- Non Linear System Analysis Part I
- Non Linear System Analysis Part II
- Radial Basis Function Networks
- Adaptive Learning rate
- Weight update rules
- Recurrent networks Back propagation through time
- Recurrent networks Real time recurrent learning
- Self organizing Map - Multidimensional networks
- Fuzzy sets - A Primer
- Fuzzy Relations
- Fuzzy Rule base and Approximate Reasoning
- Introduction to Fuzzy Logic Control
- Neural Control A review
- Network inversion and Control
- Neural Model of a Robot manipulator
- Indirect Adaptive Control of a Robot manipulator
- Adaptive neural control for Affine Systems SISO
- Adaptive neural control for Affine systems MIMO
- Visual Motor Coordination with KSOM
- Visual Motor coordination - quantum clustering
- Direct Adaptive control of Manipulators - Intro
- NN based back stepping control
- Fuzzy Control - a Review
- Mamdani type flc and parameter optimization
- Fuzzy Control of a pH reactor
- Fuzzy Lyapunov controller - Computing with words
- Controller Design for a T-S Fuzzy model
- Linear controllers using T-S fuzzy model