EE2025 INTELLIGENT CONTROL SYLLABUS

To Download 7th Sem -> EE2025 INTELLIGENT CONTROL SYLLABUS CLICK HERE

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 II ARTIFICIAL NEURAL NETWORKS

Concept of Artificial Neural Networks and its basic mathematical model, McCulloch-Pitts

neuron model, simple perceptron, Adaline and Madaline, Feed-forward Multilayer

Perceptron. Learning and Training 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 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 IV FUZZY LOGIC SYSTEM

Introduction to crisp sets and fuzzy sets, basic fuzzy set operation and approximate

reasoning. Introduction to fuzzy logic modeling and control. Fuzzification, inferencing

and defuzzification. Fuzzy knowledge and rule bases. Fuzzy modeling and control

schemes for nonlinear systems. Self-organizing fuzzy logic control. Fuzzy logic control

for nonlinear time-delay system.

UNIT V APPLICATIONS

GA application to power system optimisation problem, Case studies: Identification and

control of linear and nonlinear dynamic systems using Matlab-Neural Network toolbox.

Stability analysis of Neural-Network interconnection systems. Implementation of fuzzy

logic controller using Matlab fuzzy-logic toolbox. Stability analysis of fuzzy control

systems.

TEXT BOOKS

1. Padhy.N.P.(2005), Artificial Intelligence and Intelligent System, Oxford University

Press.

2. KOSKO,B. "Neural Networks And Fuzzy Systems", Prentice-Hall of India Pvt. Ltd.,

1994.

REFERENCES

1. Jacek.M.Zurada, "Introduction to Artificial Neural Systems", Jaico Publishing

House, 1999.

2. KLIR G.J. & FOLGER T.A. "Fuzzy sets, uncertainty and Information", Prentice-Hall of

India Pvt. Ltd., 1993.

3. Zimmerman H.J. "Fuzzy set theory-and its Applications"-Kluwer Academic

Publishers, 1994.

4. Driankov, Hellendroon, "Introduction to Fuzzy Control", Narosa Publishers.

5. Goldberg D.E. (1989) Genetic algorithms in Search, Optimization and Machine

learning, Addison Wesley.