Model Reduction Techniques for Circuits: Positive Real Balancing and Stochastic Balancing Comparison

Author:

Nguyen Thanh-Tung,Dao Huy-Du,Vu Ngoc-Kien

Publisher

Springer Nature Switzerland

Reference8 articles.

1. Kumar, D., et al.: Positive-real truncated balanced realization based frequency-weighted model reduction. In: 2019 Australian & New Zealand Control Conference (ANZCC), pp. 145−147. Auckland, New Zealand (2019)

2. Zulfiqar, U., Imran, M., Ghafoor, A., Liaqat, M.: Time/frequency-limited positive-real truncated balanced realizations. IMA J. Math. Control. Inf. 37(1), 64–81 (2020)

3. Salehi, Z., Karimaghaee, P., Khooban, M.-H.: Mixed positive-bounded balanced truncation. IEEE Trans. Circuits Syst. II Express Briefs 68(7), 2488–2492 (2021)

4. Varga, A.: On stochastic balancing related model reduction. In: Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), vol. 3, pp. 2385–2390. Sydney, NSW, Australia (2000)

5. Wong, N., Balakrishnan, V.: Fast balanced stochastic truncation via a quadratic extension of the alternating direction implicit iteration. In: ICCAD-2005. IEEE/ACM International Conference on Computer-Aided Design, pp. 801–805. San Jose, CA, USA (2005)

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