Download GTU BE/B.Tech 2019 Summer 8th Sem New 2181710 Soft Computing In Control Question Paper

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GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER-VIII(NEW) EXAMINATION - SUMMER 2019

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Subject Code: 2181710

Subject Name: Soft Computing in Control

Date: 09/05/2019

Time: 10:30 AM TO 01:00 PM

Total Marks: 70

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Instructions:

1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.

Q1

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1. Define fuzzy set, vagueness and uncertainty
2. Consider 2 fuzzy sets A and B find complement, union, intersection, and difference
   A={1/2+0.8/3+0.6/4+0.4/5+0.2/6}
   B={0.5/2+0.7/3+0.4/4+0.3/5+0.1/6}
3. Explain with block diagram working of fuzzy logic control system

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OR

Q1

1. List and explain 3 general forms in which the canonical rules can be formed.
2. List and explain 4 methods of decomposition of rules.
3. Explain in detail 7 methods used for defuzzifying the fuzzy output functions

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Q2

1. Two fuzzy sets are defined on x as follows:
   w(x1) X1 X2 X3 X4 X5
   P 0.1 0.2 0.7 0.5 0.4
   Q 0.9 0.6 0.3 0.2 0.8
   

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   Find the following A cut sets:
   a) (P)0.2 b) (Q)0.3 c) (P ? Q)0.4 d) (P n Q)0.4 e) (P' ? Q)0.8 f) (P' ? Q)0.2
2. For the given fuzzy set prove the distributive law
   A = {1/1 + 0.25/1.5 + 0.6/2.0 + 0.4/2.5 + 0/3.0}

OR

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Q2

1. State the 4 properties of lambda cut sets.
2. Draw block diagram of fuzzy inference system and explain function of each block of fuzzy inference system.
3. For the given fuzzy set prove the associative law
   A = {1/1 + 0.25/1.5 + 0.8/2.0 + 0/2.5 + 1/3.0}

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Q3

1. List and explain 4 properties for set of rules.
2. Explain in detail Takagi — Sugeno Fuzzy Inference Method.
3. Define aggregation of fuzzy rule. List and explain 2 methods for determining aggregation of rules.

OR

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Q3

1. Define learning. List any 2 types of learning and explain Hebbian learning.
2. Explain in detail how fuzzy logic can be used in coal power plant.

Q.4

1. Compare PID control and fuzzy logic control

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2. List the 4 operation of Adaptive Resonance Theory (ART) Networks
3. Explain in detail how fuzzy logic can be used to enhance control of an AC induction motor.

OR

Q.4

1. List 3 advantages of Mamdani Method

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2. Explain in detail neuron in biological system with a neat figure.
3. Explain in detail how fuzzy logic can be used in Antilock brake system in Automobile industry

Q.5

1. List 3 advantages of Sugeno Method
2. Explain the perceptron (simple model of biological neuron) with figure

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3. Explain in detail how fuzzy logic can be used in Drying Process Control

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