KYHTQT

Evaluation of Model Order Reduction Algorithms for Unstable High-Order System Applied to Large Power System

Năm XB 2022 Tạp chí / Hội thảo Advances in Engineering Research and Application Proceedings of the International Conference on Engineering Research and Applications, ICERA 2022 Advances in Engineering Research and Application (ICERA) 2022, pp 525–536 Đơn vị TĐH DOI / Link https://doi.org/10.1007/978-3-031-22200-9_58 ↗

Tác giả

Tài liệu tham khảo

[1] Benner, P., Quintana-Orti, E.S.: Model reduction based on spectral projection methods. In: Benner, P., Mehrmann, V., Sorensen, D. (eds.) Dimension Reduction of Large-Scale Systems, Vol. 45 of Lecture Notes in Computational Science and Engineering, pp. 5-45. Springer, Berlin/Heidelberg, Germany (2005)

[2] Zhang, S., Duan, B., Du, J., Zhang, Y.: Model reduction of cable mesh reflector antennas with integrated structural-electromagnetic criterion. IEEE/ASME Trans. Mechatron. 23(2), 927–935 (2018)

[3] Morlock, M., Meyer, N., Pick, M., Seifried, R.: Modeling and trajectory tracking control of a new parallel flexible link robot. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018)

[4] Odhekar, A.A., Deshmukh, A.A.: Coplanar waveguide fed broadband circularly polarized corner truncated slot antenna. In: 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE), pp. 1–6 (2021)

[5] Safonov, M.G., Chiang, R.Y.: A Schur method for balanced model reduction. IEEE Trans. Automat. Contr. 34(7), 729–733 (1989)

[6] Zjajo, A., van der Meijs, N., van Leuken, R.:Balanced stochastic truncation of coupled 3D interconnect. Proceedings of 2013 International Conference on IC Design and Technology (ICICDT), , pp. 13–16 (2013)

[7] Du, Y., Lu, X., Zhao, D.: Model reduction for inverter-dominated networked microgrids with grid-forming inverters. In: IECON 2021—47th Annual Conference of the IEEE Industrial Electronics Society, pp. 1–6 (2021)

[8] Grussler, C., Damm, T., Sepulchre, R.: Balanced truncation of k-positive systems. IEEE Trans. Autom. Control 67(1), 526–531 (2022)

[9] 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. 52(5), 2945–2953 (2022)

[10] Axelou, O., Floros, G., Evmorfopoulos, N., Stamoulis, G.: Accelerating electromigration stress analysis using low-rank balanced truncation. In: 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), pp. 1–4 (2022)

[11] Gugercin, S., Antoulas, A.C.: A survey of model reduction by balanced truncation and some new results. Internat. J. Control 77(8), 748–766 (2004)

[12] Zhou, K.: Frequency-weighted model reduction with L∞ error bounds. Syst. Contr. Lett. 21, 115–125 (1993)

[13] Benner, P., Stykel, T. (2017). Model order reduction for differential-algebraic equations: a survey

[14] Rommes, J., Martins, N.: Efficient computation of transfer function dominant poles using subspace acceleration. IEEE Trans. Power Syst. 21(3), 1218–1226 (2006)