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System identification applied to stiction quantification in industrial control loops: A comparative study

  • Published:2016-10 Issue: Volume:46 Page:11-23
  • ISSN:0959-1524
  • Container-title:Journal of Process Control
  • language:en
  • Short-container-title:Journal of Process Control

Author:

Bacci di Capaci Riccardo,Scali Claudio,Pannocchia Gabriele

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference36 articles.

1. Identification techniques for stiction quantification in the presence of nonstationary disturbances;Bacci di Capaci,2015

2. Detection and Diagnosis of Stiction in Control Loops: State of the Art and Advanced Methods;Jelali,2010

3. Modelling valve stiction;Choudhury;Control Eng. Pract.,2005

4. Computer simulations of stick-slip friction in mechanical dynamics systems;Karnopp;Trans. ASME J. Dyn. Syst. Meas. Control,1985

5. A new model for control of systems with friction;Canudas de Wit;IEEE Trans. Autom. Control,1995

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1. Stiction parameter identification for pneumatic valves with a simultaneous approach;Journal of Process Control;2024-08

2. An Automated Diagnostic Framework for Multiple Oscillations With Median Complementary EEMD;IEEE Transactions on Control Systems Technology;2024

3. Noise Parameterization of Continuous Deep Reinforcement Learning for a Class of Non-linear System;2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE);2022-10-18

4. Comparison of current state of control valve stiction detection and quantification techniques;Transactions of the Institute of Measurement and Control;2021-08-18

5. Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach;Industrial & Engineering Chemistry Research;2021-02-03
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