Bibliography

Journal papers Conference papers Theses

Journal papers

  1. Mårtensson, J., Everitt, N., & Hjalmarsson, H. (2017). Covariance analysis in SISO linear systems identification. Automatica, 77, 82–92. https://doi.org/10.1016/j.automatica.2016.11.025
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  2. Everitt, N., Bottegal, G., Rojas, C. R., & Hjalmarsson, H. (2017). Variance analysis of linear SIMO models with spatially correlated noise. Automatica, 77, 68–81. https://doi.org/10.1016/j.automatica.2016.11.017
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  3. Galrinho, M., Everitt, N., & Hjalmarsson, H. (2017). ARX modeling of unstable linear systems. Automatica, 75, 167–171. https://doi.org/10.1016/j.automatica.2016.09.041
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  4. Everitt, N., Bottegal, G., & Hjalmarsson, H. (2017). An empirical Bayes approach to identification of modules in dynamic networks. Submitted to Automatica.
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  5. Everitt, N., Galrinho, M., & Hjalmarsson, H. (2017). Optimal model order reduction with the Steiglitz-McBride method for open-loop data. Submitted to Automatica.
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Conference papers

  1. Everitt, N., Bottegal, G., Rojas, C. R., & Hjalmarsson, H. (2016). Identification of modules in dynamic networks: An empirical Bayes approach. In Proceedings of the 55th IEEE Conference on Decision and Control. IEEE. https://doi.org/10.1109/cdc.2016.7798971
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  2. Everitt, N., Bottegal, G., Rojas, C. R., & Hjalmarsson, H. (2015). On the variance analysis of identified linear MIMO models. In Proceedings of the 54th IEEE Conference on Decision and Control. IEEE. https://doi.org/10.1109/cdc.2015.7402414
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  3. Everitt, N., Bottegal, G., Rojas, C. R., & Hjalmarsson, H. (2015). On the Effect of Noise Correlation in Parameter Identification of SIMO Systems. In Proceedings of the 17th IFAC Symposium on System Identification (Vol. 48, pp. 326–331). Elsevier BV. https://doi.org/10.1016/j.ifacol.2015.12.148
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  4. Everitt, N., Rojas, C. R., & Hjalmarsson, H. (2014). Variance Results for Parallel Cascade Serial Systems. In Proceedings of the 19th IFAC World Congress (Vol. 47, pp. 2317–2322). https://doi.org/10.3182/20140824-6-za-1003.01262
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  5. Everitt, N., Rojas, C. R., & Hjalmarsson, H. (2013). A geometric approach to variance analysis of cascaded systems. In Proceedings of the 52nd IEEE Conference on Decision and Control. IEEE. https://doi.org/10.1109/cdc.2013.6760917
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  6. Everitt, N., Galrinho, M., & Hjalmarsson, H. (2017). Incorporating noise modeling in dynamic networks using non-parametric models. In Proceedings of the 20th IFAC World Congress.
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Theses

  1. Everitt, N. (2017, September). Module identification in dynamic networks: parametric and empirical Bayes methods (PhD thesis). KTH Royal Institute of Technology.
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  2. Everitt, N. (2015, February). Identification of Modules in Acyclic Dynamic Networks A Geometric Analysis of Stochastic Model Errors (Licentiate thesis). KTH Royal Institute of Technology.
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