Description: Intelligent control is a class of control techniques that use various AI computing approaches.The course gives an introduction to the principal areas, problems, and concepts of Electrical Engineering, such as Intelligent Systems Control,neural networks, fuzzy logic, machine learning, evolutionary computation and genetic algorithms.
Curriculum
- 1 Section
- 32 Lessons
- 10 Weeks
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- Aritifical Intelligence and Fuzzy Logic32
- 2.1Lecture 1: Introduction
- 2.2Lecture 2: Linear Neural networks
- 2.3Lecture 3: Multi layered neural networks
- 2.4Lecture 4: Back Propagation Algorithm revisited
- 2.5Lecture 5: Non linear system analysis – I
- 2.6Lecture 6: Non linear system analysis – II
- 2.7Lecture 7: Radial Basis function networks
- 2.8Lecture 8: Adaptive learning rate
- 2.9Lecture 9: Weight update rules
- 2.10Lecture 10: Recurrent networks Back propagation through time
- 2.11Lecture 11: Recurrent networks Real time recurrent learning
- 2.12Lecture 12: Self organizing Map – Multidimensional networks
- 2.13Lecture 13: Fuzzy sets – A Primer
- 2.14Lecture 14: Fuzzy Relations
- 2.15Lecture 15: Fuzzy Rule base and Approximate Reasoning
- 2.16Lecture 16: Introduction to Fuzzy Logic Control
- 2.17Lecture 17: Neural Control A review
- 2.18Lecture 18: Network inversion and Control
- 2.19Lecture 19: Neural Model of a Robot manipulator
- 2.20Lecture 20: Indirect Adaptive Control of a Robot manipulator
- 2.21Lecture 21: Adaptive neural control for Affine Systems SISO
- 2.22Lecture 22: Adaptive neural control for Affine systems MIMO
- 2.23Lecture 23: Visual Motor Coordination with KSOM
- 2.24Lecture 24: Visual Motor coordination – quantum clustering
- 2.25Lecture 25: Direct Adaptive control of Manipulators – Introduction
- 2.26Lecture 26: NN based back stepping control
- 2.27Lecture 27: Fuzzy Control – a Review
- 2.28Lecture 28: Mamdani type flc and parameter optimization
- 2.29Lecture 29: Fuzzy Control of a pH reactor
- 2.30Lecture 30: Fuzzy Lyapunov controller – Computing with words
- 2.31Lecture 31: Controller Design for a T-S Fuzzy model
- 2.32Lecture 32: Linear controllers using T-S fuzzy model
