[1] Kwan, H.K., Wang, F.: International Conference on Communications, Circuits and Systems (2006). https://doi.org/10.1109/ICCCAS.2006.284621

[2] Amir, G.A.: World Automation Congress WAC 2006. https://doi.org/10.1109/WAC.2006.375963

[3] Salehi, Z., Karimaghaee, P., Khooban, M.-H.: A new passivity preserving model order reduction method: conic positive real balanced truncation method. IEEE Trans. Syst. Man Cybern. 52(5), 2945–2953 (2022). https://doi.org/10.1109/TSMC.2021.3057957

[4] Schilders, W.H.A.: Introduction to model order reduction. In: Model Order Reduction: Theory, Research Aspects and Applications. Mathematics in Industry, vol. 13. Springer (2008). https://doi.org/10.1007/978-3-540-78841-6_1

[5] Benner, P., Quintana-Quintanna-Ortí, E.S.: Model Reduction Based on Spectral Projection Methods

[6] Javed, A., Ahmad, M.I.: Projection-based model order reduction for biochemical systems. In: 2019 International Conference on Applied and Engineering Mathematics (ICAEM) (2019). https://doi.org/10.1109/icaem.2019.8853743

[7] Khorsand Vakilzadeh, M., Rahrovani, S., Abrahamsson, T.: An improved modal approach for model reduction based on input-output relation. In: Proceedings of ISMA2012-USD2012, pp. 3451–3460 (2012)

[8] Salehi, Z., Karimaghaee, P., Khooban, M.-H.: A new passivity preserving model order reduction method: conic positive real balanced truncation method. IEEE Trans. Syst. Man Cybern.: Syst. (2021). https://doi.org/10.1109/tsmc.2021.3057957

[9] Green, M.: Balanced Stochastic Realizations. Elsevier Science Publishing Co 52, 211–247 (1998)

[10] Becker, S., Hartmann, C.: Infinite-dimensional bilinear and stochastic balanced truncation with explicit error bounds. Math. Control Signals Syst. (2019). https://doi.org/10.1007/s00498-019-0234-8

[11] Bui, H.H.: Applying model order reduction algorithm for control design of the digital filter. Int. J. Eng. Trends Technol. 70(6), 288–294 (2022)