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• W4313431569 abstract "This study aims at an extension and substantial improvement of the recently published relay-feedback parameter identification of an infinite-dimensional system thermal process model. The original procedure has applied the standard on/off relay to get a simplified model. Then, the dominant pole assignment has given rise to the process model characteristic quasi-polynomial via the Levenberg-Marquardt algorithm. Finally, the same optimization tool has been used to determine transfer function numerator parameters. On the contrary, a saturated relay is used to receive an improved initial simplified-model estimation in this contribution. As the process model in question has eight unknown parameters, a doubled relay test with artificial delay is made, which enables the estimation of all the parameters simultaneously. Moreover, the Nelder-Mead algorithm is used as the optimization tool. A numerical example validates an enhanced estimation in time and frequency domains." @default.
• W4313431569 created "2023-01-06" @default.
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• W4313431569 date "2023-01-01" @default.
• W4313431569 modified "2023-09-27" @default.
• W4313431569 title "Optimized 8-Parameter Relay-Based Delayed Thermal Process Model Identification via Saturated Relay and Artificial Delay" @default.
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• W4313431569 doi "https://doi.org/10.1007/978-3-031-21438-7_10" @default.
• W4313431569 hasPublicationYear "2023" @default.
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