Course Details
Subject {L-T-P / C} : EE6351 : Intelligent Control { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Bidyadhar Subudhi
Syllabus
Artificial Neural Networks Applications to System Identification & Control: Introduction, learning with ANNs, single-layer networks, multi-layer perceptrons, ANNs for identification, ANNs for control. Fuzzy Logic Control: Introduction, fuzzy sets, fuzzy logic, fuzzy logic controller design, Fuzzy Modelling& identification, Adaptive Fuzzy Control Design. Evolutionary Computation for Control & identification: Applications of EC methods to system identification and control. Combination of Soft Computation Approaches Control & Identification: Neuro-fuzzy, evolutionary neuro and evolutionary fuzzy systems
Course Objectives
- To understand about different soft computing techniques such as neural network, fuzzy logic and evolutionary techniques for designing intelligent controllers
- To design Intelligent controllers such fuzzy controller, neuro controller and evolutionary controllers
- To pursue stability analysis of intelligent controllers
Course Outcomes
CO1: Gaining an understanding of the functional operation of a variety of intelligent control techniques and their bio-foundations, <br />CO2: Learning analytical approaches to study properties (especially stability analysis), and use of the computer for simulation and evaluation.
Essential Reading
- Rojer Jang, Soft Computing, PHI
- D Driankov, H Hellendoorn and M Reinfrank, n Introduction to Fuzzy Control, Springer-Verlag, 2001.
Supplementary Reading
- K. Passino, Biomimicry for Optimization, Control, and Automation, Springer-Verlag, London, UK, 2005
- S.H. Zak, Systems and Control, Oxford