ESPION: An expert system for system identification. (English) Zbl 0727.68123
Summary: An expert system for the identification of linear multiple input single output systems in ARARX form, written with the OPS83 rule-based programming language, is presented. Provided with a data set, the expert system will organize an intelligent search through the set of candidate structures, and end up with a “best” model according to a “quality index” that incorporates a number of validation criteria. Tests on both industrial and simulated data have shown that the expert system behaves as well as human experts, with considerable savings in time.
MSC:
| 68T35 | Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence |
| 93A99 | General systems theory |
Keywords:
expert system for process identification; computer applications; heuristic programming; identification of linear multiple input single output systems; intelligent searchReferences:
| [1] | Forgy, Ch. L., (The OPS83 User’s Manual—System Version 2.2 (1986), Production Systems Technologies, Inc: Production Systems Technologies, Inc Pittsburgh, PA) |
| [2] | Gentil, S.; Conraux, Ph., (S.E.X.I. Système Expert en Identification. DEA Report (1985), Laboratoire d’Automatique de Grenoble, Institut National Polytechnique de Grenoble) |
| [3] | Haest, M.; Bastin, G.; Gevers, M.; Wertz, V., An expert system for system identification, (Proc. 1st IFAC Workshop on Artificial Intelligence in Real-time Control. Proc. 1st IFAC Workshop on Artificial Intelligence in Real-time Control, Swansea, U.K. (1988)), 101-106 |
| [4] | Larsson, J. E.; Persson, P., An expert system interface for Idpac, (Technical Report LUTFD2/(TFRT-3184)/1-96/(1987) (1987), Department of Automatic Control, Lund Institute of Technology) |
| [5] | Larsson, J. E.; Persson, P., The knowledge database used in an expert system interface for Idpac, (Proc. 1st IFAC Workshop on Artificial Intelligence in Real-time Control. Proc. 1st IFAC Workshop on Artificial Intelligence in Real-time Control, Swansea, U.K. (1988)), 107-112 |
| [6] | Ljung, L., (System Identification. Theory for the User (1987), Prentice-Hall: Prentice-Hall Englewood Cliffs, New Jersey) · Zbl 0615.93004 |
| [7] | Monsion, M.; Bergeon, B.; Khaddad, A.; Bansard, M., An expert system for industrial process identification, (Proc. 1st IFAC Workshop on Artificial Intelligence in Real-time Control. Proc. 1st IFAC Workshop on Artificial Intelligence in Real-time Control, Swansea, U.K. (1988)), 95-99 |
| [8] | Wertz, V.; Bastin, G.; Haest, M., Identification of a glass tube drawing bench, (Prepr. 10th IFAC World Congress on Automatic Control, München, Federal Republic of Germany, Vol. 10 (1987)), 334-339 |
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
