Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/62364
DC Field | Value | |
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dc.title | Knowledge-based approach to dead-time estimation for process control | |
dc.contributor.author | Lee, T.H. | |
dc.contributor.author | Wang, Q.G. | |
dc.contributor.author | Tan, K.K. | |
dc.contributor.author | Nungam, S. | |
dc.date.accessioned | 2014-06-17T06:50:15Z | |
dc.date.available | 2014-06-17T06:50:15Z | |
dc.date.issued | 1995-05 | |
dc.identifier.citation | Lee, T.H.,Wang, Q.G.,Tan, K.K.,Nungam, S. (1995-05). Knowledge-based approach to dead-time estimation for process control. International Journal of Control 61 (5) : 1045-1072. ScholarBank@NUS Repository. | |
dc.identifier.issn | 00207179 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/62364 | |
dc.description.abstract | In this paper, we present a knowledge-based approach to dead-time estimation suitable for process control systems. The approach is based on the use of relay feedback, and a self-contained module for dead-time estimation is developed which is based on suitable heuristics derived and analysed in the paper. Knowledge-based techniques are adopted and this development forms a module of a larger project for development of an intelligent process control system. The paper also includes the results of real-time experiments to estimate the dead-time of a pilot scale coupled-tanks system. | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL ENGINEERING | |
dc.description.sourcetitle | International Journal of Control | |
dc.description.volume | 61 | |
dc.description.issue | 5 | |
dc.description.page | 1045-1072 | |
dc.description.coden | IJCOA | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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