Neuron adaptive PID control for greenhouse environment
([Publisher not identified]
, [Date of publication not identified]
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| In this article, a single neutron adaptive proportional, integral, and derivative (PID) control scheme is proposed for a greenhouse environment control problem by employing Hebb learning algorithm for tuning the parameters of the controller. The proposed scheme takes the advantage of the ability of neutron, such as adaptivity, self-organizing, and self-learning, and it is easily implemented and has been successfully applied to a greenhouse climate control problem. The result show that the proposed adaptive PID control scheme can provide better closed-loop performance compared with the conventional PID method. |
| No. Panggil : | JIPE 32:5 (2015) |
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| ISSN : | 21681015 |
| Majalah/Jurnal : | Journal of Industrial and Production Engineering 32 (5) July 2015. Hal. : 291-297 |
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| Institusi Pemilik : | Universitas Indonesia |
| Lokasi : | Perpustakaan UI, Lantai 4, R.Koleksi Jurnal |
| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| JIPE 32:5 (2015) | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20419910 |
