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A. Journal Papers:

[1] H. Tanaka, J. ALMutawa and T. Katayama, “Subspace identification of linear systems with observation outliers”, Trans. Inst. Sys. Contr. and Inform. Eng., vol. 17, No. 2, pp. 89-96 (2004).

[2] J. ALMutawa, H. Tanaka and T. Katayama,” EM algorithm for state-space identification with observation outliers- An initialization by subspace methods”, Trans. Inst. Sys. Contr. and Inform. Eng., vol. 18, No. 5, pp. 178-186 (2005).

[3] J. ALMutawa and T. Katayama,”Subspace identification of state space models with observation outliers based on least-trimmed-squares”, Trans. Inst. Sys. Contr. and Inform. Eng., vol 18, (2006) to appear.

B. Conference papers:

[1] J. ALMutawa, H.
Tanaka and T. Katayama,” EM algorithm for system identification in presence of
outliers”, Proc. 35^{th} Int. Symp. Stochastic system Theory and its
Application (SSS03), Ube, Yamaguchi, October 30-31, (2003).

[2] J. ALMutawa, and T. Katayama,” Subspace identification of state space models with observation outliers based on least-trimmed-squares”, Preprints IFAC Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP2004), Yokohama, August 31- September 1, (2004).

[3] J. ALMutawa, and
T. Katayama,” Subspace identification of observation outliers in colored noise”,
Proc. 36^{th} Int. Symp. Stochastic system Theory and its Application
(SSS04), Hatoyama, November 3-4, (2004).

[4] H. Tanaka, J. ALMutawa and T. Katayama,” Stochastic subspace identification of linear systems with observation outliers”, to appear in CDC-ECC, Spain, (2005).

[5] J. ALMutawa, H. Tanaka and T. Katayama,” Stochastic subspace identification with observation outliers using leave-k-out diagnostics”, SICE Annual conference 2005, Okayama Japan, .

[6] J. ALMutawa and T.
Katayama, ”Stochastic Subspace identification of observation outliers based on
robust leave-k diagnostics”, Proc. 37^{th} Int. Symp. Stochastic system
Theory and its Application (SSS05), Osaka, October 28-29, 2005.