TY - GEN
T1 - Towards formalism of deep model descriptions of dynamic systems
AU - Yuan, Zhiguo
AU - Wen, Chuanyuan
AU - Vansteenkiste, Ghislain C.
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 1992
Y1 - 1992
N2 - The deep models which is referred to as the structural and behavioral models have been used in system analysis of dynamic systems. The description of such models, however, is far away from being formalized. This paper is devoted to the formalized descriptions of deep models of dynamic systems. In this paper, some basic concepts such as module, structure and hierarchical decomposition model are defined first and the related problems such as the automatic generation of the behavioral models of the higher level components from the behavioral models of the components below axe then discussed with the premise that the system considered is linear. The problem about how to represent the model knowledge in knowledge-based systems is also discussed. Finally, a simulation example of applying deep models to fault diagnosis of a dynamic system is presented with the intention not only to illustrate the applications of deep models but also to present an approach for fault diagnosis of dynamic systems. © Springer-Verlag Berlin Heidelberg 1992.
AB - The deep models which is referred to as the structural and behavioral models have been used in system analysis of dynamic systems. The description of such models, however, is far away from being formalized. This paper is devoted to the formalized descriptions of deep models of dynamic systems. In this paper, some basic concepts such as module, structure and hierarchical decomposition model are defined first and the related problems such as the automatic generation of the behavioral models of the higher level components from the behavioral models of the components below axe then discussed with the premise that the system considered is linear. The problem about how to represent the model knowledge in knowledge-based systems is also discussed. Finally, a simulation example of applying deep models to fault diagnosis of a dynamic system is presented with the intention not only to illustrate the applications of deep models but also to present an approach for fault diagnosis of dynamic systems. © Springer-Verlag Berlin Heidelberg 1992.
UR - https://www.scopus.com/pages/publications/85029790711
UR - https://www.scopus.com/pages/publications/85029790711#tab=impact
U2 - 10.1007/BFb0021023
DO - 10.1007/BFb0021023
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783540553540
VL - 585 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 307
EP - 322
BT - Computer Aided Systems Theory – EUROCAST 1991 - A Selection of Papers from the 2nd International Workshop on Computer Aided Systems Theory, Proceedings
PB - Springer Verlag
T2 - 2nd International Workshop on Computer Aided Systems Theory, EUROCAST 1991
Y2 - 15 April 1991 through 19 April 1991
ER -