Modeling and Gray-Box Identification Applied to a Flow Rate Control Valve
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-06844-z.pdf
Reference23 articles.
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2. Shi, Y.; Xu, D.; Su, J.; Liu, N.; Yu, H.; Xu, H.: Black-box behavioral modeling of voltage and frequency response characteristic for islanded microgrid. Energies 12(11), 2049 (2019)
3. Esmaeilani, L.; Ghaisari, J.; Ahmadian, M.; Esmaeilani, R.: Control valve position response identification by Matlab. In: 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings. IEEE, pp. 1297–1301 (2015)
4. Zhang, L.; Xia, C.; Cao, J.; Zheng, J.: Physical-based modeling of nonlinearities in process control valves. In: 2012 International Conference on Control Engineering and Communication Technology. IEEE, pp. , 75–78 (2012)
5. Ayala, H.V.H.; Habineza, D.; Rakotondrabe, M.; Coelho, L.S.: Nonlinear black-box system identification through coevolutionary algorithms and radial basis function artificial neural networks. Appl. Soft Comput. 87, 105990 (2020)
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