The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Fuzzy Control in Cyber-Physical Systems
Abstract
Controllers are devices regulating the operation of other devices or systems. Fuzzy controllers analyze the input data in terms of variables which take on continuous values in the interval [0, 1]. Since fuzzy logic has the advantage of expressing the solution of the problems in the natural language, the use of fuzzy instead of traditional controllers makes easier the mechanization of tasks that have been already successfully performed by humans. In the present paper a theoretical fuzzy control model is developed for the braking system of autonomous vehicles, which are included among the most characteristic examples of Cyber-Physical Systems. For this, a simple geometric approach is followed using triangular fuzzy numbers as the basic tools.
Related Content
Hafiz Muhammad Umair Munir, Waqar Shahid Qureshi.
© 2022.
17 pages.
|
Maria Lai-Ling Lam, Kei-Wing Wong.
© 2021.
20 pages.
|
Antoine Trad.
© 2021.
24 pages.
|
Patricia G. Foley, Kathleen Hargiss, Caroline Howard, Anne Pesanvento.
© 2021.
12 pages.
|
Alexander Shamliev, Peter Mitrouchev, Maya Dimitrova.
© 2020.
19 pages.
|
Marina Santini, Min-Chun Shih.
© 2020.
13 pages.
|
Tao Li, Cheng Meng.
© 2020.
28 pages.
|
|
|