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Non-iterative T–S fuzzy modeling with random hidden-layer structure for BFG pipeline pressure prediction

  • Published:2018-07 Issue: Volume:76 Page:96-103
  • ISSN:0967-0661
  • Container-title:Control Engineering Practice
  • language:en
  • Short-container-title:Control Engineering Practice

Author:

Lv Zheng,Zhao Jun,Zhai Yanwei,Wang Wei

Funder

National Key Research and Development Program of China

National Natural Sciences Foundation of China

Postdoctoral Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference28 articles.

1. A novel scheme for current sensor faults diagnosis in the stator of a DFIG described by a T–S fuzzy model;Abdelmalek;Measurement,2016

2. Extreme learning machines: a new approach for prediction of reference evapotranspiration;Abdullah;Journal of Hydrology,2015

3. Modeling of surface roughness in turning operation using extreme learning machine;Ahmad;Applied Mechanics & Materials,2015

4. Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis;Azadeh;Expert Systems with Applications,2015

5. A comparative study of various methods of bearing faults diagnosis using the case western reserve university data;Boudiaf;Journal of Failure Analysis & Prevention,2016

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