Syllabus
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Course Code: EI-PE-102 Course Name: Program Elective-II - (ii) Theory and Design of Neuro fuzzy controllers |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | NEURAL NETWORK THEORY: Introduction, Biological neurons and their artificial models, Learning, adaptation and neural networks learning rules types of neural networks, Single layer, multiplayer, Feed forward, feedback networks; back propagation, Learning and training, Hop field network. | |
| 2 | NEURAL NETWORKS BASED CONTROL: Neural network for non-linear systems, Schemes of neuro control, System identification forward model and inverse model, Indirect learning neural network control applications, Case studies. | |
| 3 | FUZZY LOGIC THEORY : Fuzzy sets ,Fuzzy operation , Fuzzy arithmetic, Fuzzy relations ,Fuzzy relational equations, Fuzzy measure, Fuzzy functions , Approximate reasoning ,Fuzzy propositions ,Fuzzy quantifiers , If–then rules. | |
| 4 | FUZZY LOGICBASED CONTROL: Structure of fuzzy logic controller, Fuzzification models, Database, Rule base Inference engine, defuzzification, Module ,Non-linear fuzzy control, PID like FLC, Sliding mode FLC, Sugeno FLC, Adaptive fuzzy control , Fuzzy control applications case studies. | |
