Electrical - Intelligent Systems and Control (English)

   Saturday, January 25, 2025   

Starting a new Lecture Notes Series on Electrical - Intelligent Systems and Control

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Electrical - Intelligent Systems and Control By Lecture Notes together!

Lecture 1: Introduction - Intelligent Systems Control

Lecture 2: Module 1 Lecture 1 Linear Neural networks

Lecture 3: Module 1 Lecture 2 Multi layered neural networks

Lecture 4: Module 1 lecture 3 Back Propagation Algorithm revisited

Lecture 5: Module 1 lecture 4 Non linear system analysis Part 1

Lecture 6: Module 1 lecture 5 non linear system analysis part 2

Lecture 7: Module 1 lecture 6 Radial Basis function networks

Lecture 8: Module 1 lecture 7 Adaptive learning rate

Lecture 9: Module 1 Lecture 8 Weight update rules

Lecture 10: Mod 1 Lec 9 Recurrent networks Back propagation through time

Lecture 11: Mod 1 Lec 10 Recurrent networks Real time recurrent learning

Lecture 12: Mod 1 Lec 11 Self organizing Map - Multidimensional networks

Lecture 13: Module 2 Lecture 1 Fuzzy sets A Primer

Lecture 14: Module 2 Lecture 2 Fuzzy Relations

Lecture 15: Module 2 lecture 3 Fuzzy Rule base and Approximate Reasoning

Lecture 16: Module 2 Lecture 4 Introduction to Fuzzy Logic Control

Lecture 17: Module 3 Lecture 1 Neural Control A review

Lecture 18: Module 3 Lecture 2 Network inversion and Control

Lecture 19: Module 3 Lecture 3 Neural Model of a Robot manipulator

Lecture 20: Mod 3 Lec 4 Indirect Adaptive Control of a Robot manipulator

Lecture 21: Mod 3 Lect 5 Adaptive neural control for Affine Systems SISO

Lecture 22: Mod 3 Lec 6 Adaptive neural control for Affine systems MIMO

Lecture 23: Module 3 Lecture 7 Visual Motor Coordination with KSOM

Lecture 24: Mod 3 Lec 8 Visual Motor coordination - quantum clustering

Lecture 25: Mod 3 Lec 9 Direct Adaptive control of Manipulators - Intro

Lecture 26: Module 3 Lecture 10 NN based back stepping control

Lecture 27: Module 4 lecture 1 Fuzzy Control - a Review

Lecture 28: Mod 4 Lec 2 Mamdani type flc and parameter optimization

Lecture 29: Module 4 Lecture 3 Fuzzy Control of a pH reactor

Lecture 30: Mod 4 Lec 4 Fuzzy Lyapunov controller - Computing with words

Lecture 31: IMod 4 Lect 5 Controller Design for a T-S Fuzzy model

Lecture 32: Module 4 Lecture 6 Linear controllers using T-S fuzzy model