Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey

Jafari, Raheleh; Razvarz, Sina; Gegov, Alexander; Yu, Wen

doi:10.1007/978-3-030-29933-0_1

Cited by 14 publications

(1 citation statement)

References 42 publications

(42 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Artificial intelligence has become the most effective approach which attracts many investigators to deeply research [20][21][22][23][24][25]. It has been successfully used for leak detection.…”

Section: Takedownmentioning

confidence: 99%

Pipeline Leak Detection and Location based on Fuzzy Controller

Razvarz

Jafari

Vargas-Jarillo

et al. 2020

2020 IEEE Symposium Series on Computational Intelligence (SSCI)

Self Cite

View full text Add to dashboard Cite

Pipeline systems have been taken as one of the most important tools for transmission around the world. It will be important for the industrial society that pipeline systems function appropriately by taking into consideration the growing requirement for effective interconnecting fluid networks. Typically, there are various kinds of control systems or algorithms for pipeline leak detection. In this paper, a pipeline leak detection and location method is proposed based on fuzzy control. It is concluded that the response of the fuzzy controller is fast and has no oscillations and this is appropriate for numerous high-precision usages like robotics as well as weapon systems. The numerical results demonstrate that the suggested technique is simple, efficient, and has a high level of localization precision.

show abstract