PS9002 SOFT COMPUTING TECHNIQUES SYLLABUS | ANNA UNIVERSITY ME POWER MANAGEMENT 1ST SEM SYLLABUS REGULATION 2009 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY FIRST SEMESTER M.E POWER MANAGEMENT DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2009 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
PS9002 SOFT COMPUTING TECHNIQUES L T P C
3 0 0 3
UNIT I INTRODUCTION 9
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 9
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, principalcomponent
analysis and wavelet transformations. Hopfield network, Self-organizing network
and Recurrent network. Neural Network based controller
UNIT III FUZZY LOGIC SYSTEM 9
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 IV GENETIC ALGORITHM 9
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 anD-colony search techniques for solving optimization
problems.
UNIT V APPLICATIONS 9
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.
TOTAL : 45 PERIODS
9
REFERENCES
1. Jacek.M.Zurada, "Introduction to Artificial Neural Systems", Jaico Publishing House, 1999.
2. Kosko.B. "Neural Networks And Fuzzy Systems", Prentice-Hall of India Pvt. Ltd., 1994.
3. Klir.G.J & Folger.T.A "Fuzzy sets, uncertainty and Information", Prentice-Hall of India Pvt.
Ltd., 1993.
4. Zimmerman H.J. "Fuzzy set theory-and its Applications"-Kluwer Academic Publishers, 1994.
5. Driankov, Hellendroon, "Introduction to Fuzzy Control", Narosa Publishers.
PS9002 SOFT COMPUTING TECHNIQUES L T P C
3 0 0 3
UNIT I INTRODUCTION 9
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 9
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, principalcomponent
analysis and wavelet transformations. Hopfield network, Self-organizing network
and Recurrent network. Neural Network based controller
UNIT III FUZZY LOGIC SYSTEM 9
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 IV GENETIC ALGORITHM 9
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 anD-colony search techniques for solving optimization
problems.
UNIT V APPLICATIONS 9
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.
TOTAL : 45 PERIODS
9
REFERENCES
1. Jacek.M.Zurada, "Introduction to Artificial Neural Systems", Jaico Publishing House, 1999.
2. Kosko.B. "Neural Networks And Fuzzy Systems", Prentice-Hall of India Pvt. Ltd., 1994.
3. Klir.G.J & Folger.T.A "Fuzzy sets, uncertainty and Information", Prentice-Hall of India Pvt.
Ltd., 1993.
4. Zimmerman H.J. "Fuzzy set theory-and its Applications"-Kluwer Academic Publishers, 1994.
5. Driankov, Hellendroon, "Introduction to Fuzzy Control", Narosa Publishers.
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