Intelligent Control Systems
Semester:
Fall
Offered:
2012 Dynamic Linear Systems Identification Problem statement
The identification process
Linear time invariant models
Parameter estimation: least squares
Model validation
RLS Adaptive Control Introduction Functional models Pole placement Artificial Neual Networks Introduction
The neuron
Activation functions
Proactive multi-layer networks
Approxiamtion properties
Supervised training in multi-layer networks
Generelization and validation
Control neural architectures Fuzzy Control Fuzzy systems fundamentals Defuzzyfying time variables Inference with linguistic variables Defuzzyfying linguistic variables Fuzzy control design
