Abstract
A neural network based process identification technique using the pattern recognition approach is proposed in this paper. The closed loop process identification is treated as a static map between the controller parameters together with the observed response pattern parameters and the process dynamic parameters. Simulation study shows the feasibility of establishing such a map for on-line process identification.
| Original language | English |
|---|---|
| Title of host publication | Plenary Session, Emerging Technologies, and Factory Automation |
| Editors | Anon |
| Publisher | Publ by IEEE |
| Pages | 349-353 |
| Number of pages | 5 |
| Volume | 1 |
| ISBN (Print) | 0780308913 |
| Publication status | Published - 1993 Dec 1 |
| Event | Proceedings of the 19th International Conference on Industrial Electronics, Control and Instrumentation - Maui, Hawaii, USA Duration: 1993 Nov 15 → 1993 Nov 18 |
Other
| Other | Proceedings of the 19th International Conference on Industrial Electronics, Control and Instrumentation |
|---|---|
| City | Maui, Hawaii, USA |
| Period | 93/11/15 → 93/11/18 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
}
Process identification by neuromorphic pattern recognition. / Toh, Kar Ann; Devanathan, R.
Plenary Session, Emerging Technologies, and Factory Automation. ed. / Anon. Vol. 1 Publ by IEEE, 1993. p. 349-353.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Process identification by neuromorphic pattern recognition
AU - Toh, Kar Ann
AU - Devanathan, R.
PY - 1993/12/1
Y1 - 1993/12/1
N2 - A neural network based process identification technique using the pattern recognition approach is proposed in this paper. The closed loop process identification is treated as a static map between the controller parameters together with the observed response pattern parameters and the process dynamic parameters. Simulation study shows the feasibility of establishing such a map for on-line process identification.
AB - A neural network based process identification technique using the pattern recognition approach is proposed in this paper. The closed loop process identification is treated as a static map between the controller parameters together with the observed response pattern parameters and the process dynamic parameters. Simulation study shows the feasibility of establishing such a map for on-line process identification.
UR - http://www.scopus.com/inward/record.url?scp=0027879608&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0027879608&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0780308913
VL - 1
SP - 349
EP - 353
BT - Plenary Session, Emerging Technologies, and Factory Automation
A2 - Anon, null
PB - Publ by IEEE
ER -