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Neuron adaptive PID control for greenhouse environment

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 Abstrak

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.

 Metadata

No. Panggil : JIPE 32:5 (2015)
Subjek :
Sumber Pengatalogan :
ISSN : 21681015
Majalah/Jurnal : Journal of Industrial and Production Engineering 32 (5) July 2015. Hal. : 291-297
Volume :
Tipe Konten :
Tipe Media :
Tipe Carrier :
Akses Elektronik :
Institusi Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4, R.Koleksi Jurnal
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No. Panggil No. Barkod Ketersediaan
JIPE 32:5 (2015) TERSEDIA
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