Open Access
Issue |
MATEC Web Conf.
Volume 277, 2019
2018 International Joint Conference on Metallurgical and Materials Engineering (JCMME 2018)
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 11 | |
Section | Metallurgy & Control and Manufacturing | |
DOI | https://doi.org/10.1051/matecconf/201927701008 | |
Published online | 02 April 2019 |
- Astrom, K. J., Hagglund, T. Automatic tuning of simple regulators with specifications on phase and amplitude margins[J]. Automatic, 1984, 20(5):645-651. [Google Scholar]
- Rivera D E. PID Control: New Identification and Design Methods-[Book Review][J]. Control Systems IEEE, 2006, 26(1):95-97. [Google Scholar]
- Yu C C. Autotuning of PID Controllers[M]. Springer London, 2006. [Google Scholar]
- Hang C C, Astrom K J, Ho W K. Refinements of the Ziegler-Nichols Tuning Formula[J]. IEEE Proceedings-D, 1991, 38(2):111-118. [CrossRef] [Google Scholar]
- Astrom K J, Hagglund T, Hang C C., et al Automatic tuning and adaptation for PID controllers-a survey[J]. Control Engineering Practice, 1993, 1(4):699-714.. [CrossRef] [Google Scholar]
- Amir Torabi, 2 Amin Adine Ahari, 3 Ali Karsaz, 4 Seyyed Hossin Kazemi Intelligent pitch controller identification and design [Google Scholar]
- Lian F L, Moyne W, Tilbury D. Analysis and modeling of networked control systems:MIMO case with multiple time delays[C]. American Control Conference, 2001. Proceedings of the. IEEE, 2001:4306-4312 vol.6. [CrossRef] [Google Scholar]
- Ho W K, Hang C C, Cao L S. Tuning of PID controllers based on gain and phase margin specifications[J]. Automatica, 1995, 31(3):497-502. [CrossRef] [Google Scholar]
- Koivo H N, Tanttu J T. Tuning of PID Controllers: Survey of SiSo and MiMo Techniques[J]. 1991. [Google Scholar]
- Leva A. PID autotuning algorithm based on relay feedback[J]. IEEE Proceedings-D, 1991, 38.. [Google Scholar]
- Chen X, Wang L. Quadrotor cascade PID controller automatic tuning[C]. Control Conference. IEEE, 2017. [Google Scholar]
- Zhuang M, Atherton D P. Automatic tuning of optimum PID controllers[J]. 1993, 140(3):216-224. [Google Scholar]
- Truong N V. Nonlinear System Identification[J]. Journal of Northwestern Polytechnical University, 1986, 21(1):109-122. [Google Scholar]
- Levin A U, Narendra K S. Control of nonlinear dynamical systems using neural networks: controllability and stabilization.[J]. IEEE Transactions on Neural Networks, 1993, 4(2):192-206. [CrossRef] [PubMed] [Google Scholar]
- Levin A U. Control of Nonlinear Dynamical Systems Using Neural Networks-Part II :Observability, Identification, and Control[J]. IEEE Transactions on Neural Networks, 1996, 7(1):30-42. [CrossRef] [Google Scholar]
- Haber R, Unbehauen H. Structure identification of nonlinear dynamic systems-A survey on input/output approaches[J]. Automatica, 1990, 26(4):651-677. [CrossRef] [Google Scholar]
- Concepcion A. Monje, Vinagre B M, Feliu V, et al. Tuning and auto-tuning of fractional order controllers for industry applications[J]. Control Engineering Practice, 2008, 16(7):798-812. [CrossRef] [Google Scholar]
- Wang Q G. PID Tuning for Improved Performance[J]. IEEE Trans.contr.syst.technol, 1999, 7(4):457-465. [CrossRef] [Google Scholar]
- Shamsuzzoha M, Skogestad S. The setpoint overshoot method: A simple and fast closed-loop approach for PID tuning[J]. Journal of Process Control, 2010, 20(10):1220-1234. [CrossRef] [Google Scholar]
- Killingsworth N J, Krstic M. PID tuning using extremum seeking-Online, modelfree performance optimization[J]. Control Systems IEEE, 2006, 26(1):70-79. [Google Scholar]
- Killingsworth, Krstic. PID Tuning Using Extremum Seeking[J]. IEEE Control Systems Magazine, vol. 26, no. 1, February 1, 2006, pp. 70-79, 2005. [Google Scholar]
- Gong Z W. Least-square method to priority of the fuzzy preference relations with incomplete information[M]. Elsevier Science Inc. 2008. [Google Scholar]
- Cornell J. Classical and Modern Regression With Applications[J]. Technometrics, 1987, 29(3):2. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.