Identification of Systems Having Unstable Dynamics and Time Delays Using Delayed Recurrent Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08356-w.pdf
Reference67 articles.
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2. Zhang, Y.; Sun, L.; Shen, J.; Lee, K.Y.; Zhong, Q.C.: Iterative tuning of modified uncertainty and disturbance estimator for time-delay processes: a data-driven approach. ISA Trans. 84, 164–177 (2019). https://doi.org/10.1016/j.isatra.2018.08.028
3. Lo, W.; Rad, A.; Li, C.: Self-tuning control of systems with unknown time delay via extended polynomial identification. ISA Trans. 42(2), 259–272 (2003). https://doi.org/10.1016/S0019-0578(07)60131-1
4. Sung, S.W.; Lee, I.B.: Prediction error identification method for continuous-time processes with time delay. Ind. Eng. Chem. Res. 40(24), 5743–5751 (2001). https://doi.org/10.1021/ie0100636
5. Kaya, I.; Atherton, D.: Parameter estimation from relay autotuning with asymmetric limit cycle data. J. Process Control 11(4), 429–439 (2001). https://doi.org/10.1016/S0959-1524(99)00073-6
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