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- W2777892004 abstract "This paper presents an application of discrete parameter adaptive control to the temperature tracking control system of steel mill soaking pits, the dynamic behaviors of which are heavily dependent upon the operating conditions, such as the number, size and initial thermal state of the ingots charged in the pit. The minimum variance control algorithm is used as temperature controller here, those parameters are self tuned based on the prediction model identified by the real-time input-output data sequence. The computer simulation results of parameter adaptive control system for a simulated production scale ingotpit system verified by the industrial experimental test data show the excellent tracking behaviors of the controlled pit temperature. The proposed control strategies are quite important for further carrying out both the optimal heating pattern control and the production scheduling." @default.
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- W2777892004 date "1986-01-01" @default.
- W2777892004 modified "2023-09-27" @default.
- W2777892004 title "DISCRETE PARAMETER ADAPTIVE CONTROL OF A STEEL MILL SOAKING PIT" @default.
- W2777892004 cites W2077566967 @default.
- W2777892004 doi "https://doi.org/10.1016/b978-0-08-032554-5.50046-x" @default.
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