Assignment-1- Name: ID: This question is about fuzzy control systems A controlling systems company is about to manufacture a new updated model of its air conditioner Feedback control' expert system. One of the engineers is assigned to design this system based on fuzzy concepts. The knowledge and observations from customers' survey are provided to support building this system: It is claimed that the weather is certainly cold when the read of the room temperature is below the 10. However it is considered to be cold at 12.50, sometimes customers still feel cold even at 15C On contrary, it is claimed that weather is hot when the read of the room temperature reaches above 27, although it can still be slightly hot at room temperatures up to 20C, Based on the customers' review it is cool when the room temperature is between 18C and 40. While asking the customers about the ranges of the temperature for both cool and warm, which set between being cold and hot respectively, the customer suggested that being cool is somehow overlaps with cold and feeling just right and peaks at 15C. The customers also said that it is positively warm at 25.5; they think that 20C wasn't really warm neither was 29C. The assigned engineer should have to design the air conditioner fuzzy control system related to the customers' review of hot and 'cold to the speed of the air conditioner's motor. The temperature of the air-conditioner will blast cold air at 100 revolutions per minute (r.p.m.). The customers feels hot when the speed of motor operates at minimal zero r.p.m. For the cool feeling, the motor speed should bes owa r.p.m, and for the warm feeling the speed will be fast asrpm. Finally, for feeling pleasant, the speed will be medium as 50 r.p.m. 30 70 a. Based on your knowledge, describe the difference of operations between the classical control system and the fuzzy control system b. Describe the linguistic variables and associated term sets required to build the fuzzy air- conditioner Describe the corresponding membership functions for the variables. Design the rule base from the Use the above customers' review to design the rules base. Using the membership functions, the rule base and the TSK defuzzification, find the output of the fuzzy air-conditioner on quite cold day with temperatures averaging at 12C. Show the four stages of the computation clearly. Use the MATLAB fuzzy toolbox to model and implement the fuzzy air-conditioner control system. c. d. e. f. -Good Luck