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- W2928714912 abstract "In this work we will report our initial investigation of how a neural network architecture could become an efficient tool to model Proportional-Integral-Derivative controller (PID controller). It is well known that neural networks are excellent function approximators, we will then be investigating if a recursive neural networks could be suitable to model and tune PID controllers thus could assist in determining the controller’s proportional, integral, and the derivative gains. A preliminary evaluation is reported." @default.
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- W2928714912 date "2019-01-01" @default.
- W2928714912 modified "2023-09-25" @default.
- W2928714912 title "PID Tuning with Neural Networks" @default.
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- W2928714912 doi "https://doi.org/10.1007/978-3-030-14799-0_41" @default.
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