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Mathematical and Computer Modelling of Dynamical Systems
Methods, Tools and Applications in Engineering and Related Sciences
Volume 24, 2018 - Issue 3
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Original Articles

A new framework for H2-optimal model reduction

ORCID Icon &
Pages 236-257 | Received 21 Sep 2017, Accepted 09 Apr 2018, Published online: 25 Apr 2018

Figures & data

Figure 1. Cumulated execution times involved in each step of algorithm 1 for different benchmark models (n=10).

Figure 1. Cumulated execution times involved in each step of algorithm 1 for different benchmark models (n=10).

Figure 2. Cumulated execution times as total share of each step of Algorithm 1.

Figure 2. Cumulated execution times as total share of each step of Algorithm 1.

Figure 3. Illustrative Bode plot of Σ and its Model Function Σμ.

Figure 3. Illustrative Bode plot of Σ and its Model Function Σμ.

Figure 4. Comparison of Σ, Σμ and Σμ,r after H2 optimization.

Figure 4. Comparison of Σ, Σμ and Σμ,r after H2 optimization.

Figure 5. Comparison of Σ, Σμ2 and Σμ,r2 after repeated H2 optimization.

Figure 5. Comparison of Σ, Σμ2 and Σμ,r2 after repeated H2 optimization.

Table 1. Reduction results for the gyro model using zero initialization.

Figure 6. Reduction of the gyro model using CIRKA and IRKA (n=30, 9th output).

Figure 6. Reduction of the gyro model using CIRKA and IRKA (n=30, 9th output).

Table 2. Reduction results for the gyro model using eigs initialization.

Figure 7. Comparison of relative error and its estimation for the CDplayer model.

Figure 7. Comparison of relative error and its estimation for the CDplayer model.
Supplemental material

Supplementary_materials_MATLAB_toolboxes_sss___sssMOR.zip

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