Intelligent Control
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Follow on Instagram for UpdatesIntelligent Control Syllabus — Unit-wise Content
The official GTU curriculum for Intelligent Control (subject code 2724506) as prescribed for E(E& · Semester 2 divides the course into 4 units, covering 31 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2724506)Unit 1 UNIT I INTRODUCTION
- Approaches to intelligent control
- Architecture for intelligent control
- Symbolic reasoning system
- rule-based systems
- the AI approach
- Knowledge representation
- Expert systems
Unit 2 UNIT II ARTIFICIAL NEURAL NETWORKS
- Concept of Artificial Neural Networks and its basic mathematical model
- McCulloch Pitts neuron model
- simple perceptron
- Adeline and Madeline
- Feed-forward Multilayer Perceptron
- testing the neural network
- Data Processing: Scaling
- Fourier transformation
- principal component analysis and wavelet transformations
- Hopfield Network
- Self-organizing network and recurrent network
- Neural Network based controller
Unit 3 UNIT III GENETIC ALGORITHM
- Basic concept of Genetic algorithm and detail algorithmic steps
- adjustment of free parameters
- Solution of typical control problems using genetic algorithm
- Concept on some other search techniques like tabu search and ant-colony search techniques for solving optimization problems
Unit 4 UNIT IV FUZZY LOGIC SYSTEM
- Introduction to crisp sets and fuzzy sets
- basic fuzzy set operation and approximate reasoning
- Introduction to fuzzy logic modelling and control
- inferencing and defuzzification
- Fuzzy knowledge and rule bases
- Fuzzy modelling and control schemes for nonlinear systems
- Adaptive neuro fuzzy inference system
- Fuzzy logic control for nonlinear time-delay system
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