Accuracy enhancing methods for the frequency-weighted balancing related model reduction - Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
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چکیده
In this paper we develop computational techniques with enhanced accuracy for two frequency-weighted model reduction approaches, namely, balanced truncation, and singular perturbation approximation. New stability-enforcing choices of the frequency-weighted grammians can guarantee the stability of reduced models for two-sided frequency weights. Several numerical examples show the effectiveness of the new approximation techniques.
منابع مشابه
Accuracy enhancing methods for the frequency-weighted balancing related model reduction
In this paper we develop computational techniques with enhanced accuracy for two frequency-weighted model reduction approaches, namely, balanced truncation, and singular perturbation approximation. New stability-enforcing choices of the frequency-weighted grammians can guarantee the stability of reduced models for two-sided frequency weights. Several numerical examples show the effectiveness of...
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تاریخ انتشار 2001