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An automotive cruise control using fuzzy control optimized via unscented Kalman filter
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Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

An automotive cruise control using fuzzy control optimized via unscented Kalman filter


World Congress on Industrial Automation

July 20-22, 2015 San Francisco, USA

Mohsen Rakhshan and Faridoon Shabani-nia

Posters-Accepted Abstracts: Adv Robot Autom

Abstract :

In this paper, the objective is to generate and optimize the fuzzy membership functions for an automotive cruise control in order to obtain a better and faster response facing with the changes in the driving conditions. The regular method for optimization is gradient descent, but in this paper, we use the Unscented Kalman filter (UKF) in a special manner to optimize the membership functions and also modify the membership function. We will show that the UKF is a powerful method for increasing the performance of a fuzzy system.

Google Scholar citation report
Citations: 1127

Advances in Robotics & Automation received 1127 citations as per Google Scholar report

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