ShareTaking control with neural networks.
Author(s) : FARGUS R., HEPWORTH S.
Type of article: Article
Summary
A PI (proportional + integral) controller should give satisfactory non-linear control to its sub-system but if a number of them operate separately within a larger system the overall result can be instability. Neural linking provides self-learning modifications to the response and so closer control and easier commissioning. A.R.T.
Details
- Original title: Taking control with neural networks.
- Record ID : 1995-3099
- Languages: English
- Source: J. chart. Inst. Build. Serv. - vol. 16 - n. 6
- Publication date: 1994/06
- Document available for consultation in the library of the IIR headquarters only.
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Adaptive control of HVAC processes using predic...
- Author(s) : CURTISS P. S., KREIDER J. F., BRANDEMUEHL M. J.
- Date : 1993
- Languages : English
- Source: ASHRAE Transactions 1993.
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A neural-network-based identifier/controller fo...
- Author(s) : SO A. T. P., CHAN W. L., CHOW T. T., TSE W. L.
- Date : 1995/06/24
- Languages : English
- Source: ASHRAE Transactions.
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Nonlinear HVAC computations using neural networks.
- Author(s) : MISTRY S. I., NAIR S. S.
- Date : 1993
- Languages : English
- Source: ASHRAE Transactions 1993.
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Artificial Neural Network (ANN) research in HVA...
- Author(s) : LI Y., WANG Y.
- Date : 2001/02
- Languages : Chinese
- Source: HV & AC - vol. 31 - n. 138
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Study on control of HVAC systems using artifici...
- Author(s) : HASHIMOTO Y., MURASAWA I.
- Date : 1998/01
- Languages : Japanese
- Source: Transaction of the Society of Heating, Air-conditioning and Sanitary Engineers of Japan - n. 68
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