A Comparative of Positive Real Truncation and H-Infinity Reduction Techniques for Model Simplification in Electrical Circuits and Power Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50818-9_2
Reference8 articles.
1. Salehi, Z., Karimaghaee, P., Khooban, M.H.: Model order reduction of positive real systems based on mixed Gramian balanced truncation with error bounds. Circuits Syst. Signal Process. 40, 5309–5327 (2021)
2. Breiten, T., & Unger, B.: Passivity preserving model reduction via spectral factorization. Automatica 142, 110368. ISSN 0005–1098 (2022)
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.: Syst. 52(5), 2945–2953 (2022)
4. Mustafa, D.: Reduced-order robust controllers: H∞-balanced truncation and optimal projection. In: 29th IEEE Conference on Decision and Control, vol. 2, pp. 488–493. Honolulu, HI, USA (1990)
5. Acle, Y.G.I., Freitas, F.D.: Shift parameter sensitivity on the computation of unstable reduced order model via truncated balanced method. In: 2017 Workshop on Communication Networks and Power Systems (WCNPS), pp. 1–4. Brasília, Brazil (2017)
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