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• W2728996619 abstract "Abstract PID control schemes have been widely used in most of process control systems represented by chemical processes for a long time. However, it is still a very important problem how to determine or tune the PID parameters, because these parameters have a great influence on the stability and the performance of the control system. On the other hand, in the last twenty years, a genetic algorithm(GA) is attracted as one method which gives us suitable answers for search, optimization and machine learning problems. In this paper, a new genetic tuning algorithm of PID parameters is proposed, in which the search area of PID parameters is reduced sharply by considering an effective parameters' area from the viewpoint of the control engineering. Finally, the proposed scheme is numerically evaluated, and discuss the statistical properties." @default.
• W2728996619 created "2017-07-14" @default.
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• W2728996619 date "1999-07-01" @default.
• W2728996619 modified "2023-09-26" @default.
• W2728996619 title "Evolutionary computation in designing a PID control system" @default.
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• W2728996619 doi "https://doi.org/10.1016/s1474-6670(17)56255-2" @default.
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