Back
ExamOtherExam paper only

Exam sample

University study material for UNCERTAINTY IN ARTIFICIAL INTELLIGENCE in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Uncertainty in Artificial Intelligence Second evaluated test Surname: Name: Personal ID: Fuzzy Control Systems [Score 13/32] Please, select input and output variables of the system, define the corresponding fuzzy sets and how to implement logical operators and defuzzification

UNCERTAINTY IN ARTIFICIAL INTELLIGENCEOther

Document information

What's included in this study material

University study material for UNCERTAINTY IN ARTIFICIAL INTELLIGENCE in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Uncertainty in Artificial Intelligence Second evaluated test Surname: Name: Personal ID: Fuzzy Control Systems [Score 13/32] Please, select input and output variables of the system, define the corresponding fuzzy sets and how to implement logical operators and defuzzification

Import quality: text was extracted directly from the original document.

Extracted content from the document

Representative passages recognised in different parts of the material. The full extracted text remains available to search, while this compact preview makes the page easier to read.

Page 1

Uncertainty in Artificial Intelligence Second evaluated test Surname: Name: Personal ID: Fuzzy Control Systems [Score 13/32] Please, select input and output variables of the system, define the corresponding fuzzy sets and how to implement logical operators and defuzzification method, write in Matlab the rules that implement the fuzzy system. Please, remember to motivate your choices. Note: Motivations of choices will substantially contribute to the final score of these exercises by 0 to 3 points each section. No reasonable motivation, no points. Please, consider that a motivation is different from a description. An autonomous car of the new generation receives the target to reach, computes the path, and controls speed and steer according to the path and the specific situation. Let’s take that it is driving on a street on the countryside and no other vehicles are in proximity. The car should control the speed by keep ing it within the limits (90km/h), and matching safety and comfort for the passengers. In particular, when approaching a curve it should face the curve at the proper speed. Since it is aware of the path, it can control in advance the speed of the car so to optimize safety and comfort. Let’s take that the curves have all the same design. Please, define and implement in Matlab a fuzzy system that, considering the distance to the curve and the present speed, makes the car facing the curve at the speed that considers the aspects mentioned above. Please, also answer to the questions below. The final score will be the sum of the points mentioned for each one and the points obtained with the Matlab solution, up to a maximum of 13 points. This file, completed with your answers, should be renamed with your surname, name and enrollment number (e.g.…

Preview

First page of the document.

First page: Exam sample