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Mathematical and Computer Modelling of Dynamical Systems
Methods, Tools and Applications in Engineering and Related Sciences
Volume 19, 2013 - Issue 6
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Original Articles

An improved numerical method for balanced truncation for symmetric second-order systems

, &
Pages 593-615 | Received 09 Nov 2012, Accepted 06 Apr 2013, Published online: 01 May 2013

Figures & data

Table 1. Left and right transformation matrices of balanced truncation for second-order systems.

Table 2. Specifications of the used examples as well as parameters and results of the SO-LR-ADI runs. All timings are given in seconds.

Figure 1. Reduction results for the Bernoulli beam model resulting from the residual based stopping criterion. (a) Bode plot. (b) Relative error.

Figure 1. Reduction results for the Bernoulli beam model resulting from the residual based stopping criterion. (a) Bode plot. (b) Relative error.

Table 3. Largest relative errors of the reduced order models resulting from residual and singular value-based termination of SO-LR-ADI.

Figure 2. (a) History of normalized residual norm and relative change (26) of singular values for Example 5.2. The black dashed line refers to the tolerance of . (b) Relative errors obtained from both approaches using VV second-order balanced truncation.

Figure 2. (a) History of normalized residual norm and relative change (26) of singular values for Example 5.2. The black dashed line refers to the tolerance of . (b) Relative errors obtained from both approaches using VV second-order balanced truncation.

Figure 3. History of relative change (26) of different singular values for Example 5.3 (a) and 5.4 (b). The black dashed line refers to the tolerance of .

Figure 3. History of relative change (26) of different singular values for Example 5.3 (a) and 5.4 (b). The black dashed line refers to the tolerance of .

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