Smart Spectrometer for Distributed Fuzzy Control
| dc.creator | Benoit, Eric | |
| dc.creator | Foulloy, Laurent | |
| dc.date | 2009-04-30 | |
| dc.date.accessioned | 2026-07-07T13:10:31Z | |
| dc.date.available | 2026-07-07T13:10:31Z | |
| dc.description | If the main use of colour measurement is the metrology, it is now possible to find industrial control applications which uses this information. Using colour in process control leads to specific problems where human perception has to be replaced by colour sensors. This paper relies on the fuzzy representation of colours that can be taken into account by fuzzy controllers. If smart sensors already include intelligent functionalities like signal processing, or configuration, only few of them include functionalities to elaborate the fuzzy representation of measurements. In this paper, we develop a solution where the numeric processing is performed locally by the sensor, and where fuzzy processing is exported towards another computing resource by means of the CAN network. This paper presents the concept and the application to a smart fuzzy spectrometer. | |
| dc.description | Document rédigé sous FrameMaker (pas sous Latex) | |
| dc.identifier | https://arxiv.org/abs/0904.4803 | |
| dc.identifier | http://arxiv.org/abs/0904.4803 | |
| dc.identifier | the 15th IMEKO World Congress - Measurement to Improve the Quality of Life in the 21st Century - Measurement Helps to Coordinate Nature with Human Activities, Osaka : Japon (1999) | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/229034 | |
| dc.subject | Instrumentation and Detectors | |
| dc.title | Smart Spectrometer for Distributed Fuzzy Control | |
| dc.type | text |