Fault Detection via KDI in Presence of Unmodelled Uncertainty

Author:

Kumamaru Kousuke1,Hu Jinglu1,Inoue Katsuhiro1,Ono Hideaki1

Affiliation:

1. Department of Control Engineering and Science, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Reference7 articles.

1. [1] G.C. Goodwin, M. Gevers ancl B. Ninness, ”Quantifying the Error in Estimated Transfer Functions with Application to Model Order Selection” IEEE Trans on Automatic Control, vol.37, No.7, 1992.

2. [2] J. Hu, K. Kumamaru and K. Inoue, ”Robust System Identification by Combination of GA and Gradient Method”, (to be presented in the Preprint of the 13th SICE Kyushu Branch Annual Conference 1994).

3. [3] K. Kumamaru, S. Sagara, A. Nakai and T. Soderstrom, ”A Fuzzy Inference Approach to Failure Diagnosis of Adaptive controlled Systems”, the 9th IFAC/IFORS Symposium on Identification and System Parameter Estimation, 657/662(1991).

4. [4] K. Kumamaru, and T. Soderstrom, ”Fault Detection and Model Validation Using Index of Kullback Discrimination Information”, Trans Soc. Instru. & Control Eng. , vol.22, No.10, 1986.

5. [5] P. Franc and J. Wunnenberg, ”Robust Fault Diagnosis Using Unknown Input Observer Schemes”, Fault Diagnosis in Dynamic Systems: Theory and Application, Prentice Hall, 47/98(1989).

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1. Identification of ARMAX Model Based on Homotopy Approaches;Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications;1999-05-05

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