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• W3011784218 abstract "We present an efficient implementation of the balance truncation approximation method for largescale dynamical system, which a benchmark collection Inclusive of some needful real-world examples. In thispaper we proposed a new procedure the reduction method based balance truncation is explored for gettingstructure preserving reduced order model of a large-scale dynamical system, we have considered model orderreduction of higher order LTI systems. That aims at finding Error estimation and H∞ and H2 norm usingApproximation of original and reduced system. Hence necessary to effortlessness the analysis of the systemusing approximation Algorithms. The response evaluation is considered in terms of response constraints andgraphical assessments. It is reported that the different states of reduced order model compare using a numericalmethods is almost alike in performance to that of with original systems. all simulation results have beenobtained via MATLAB based novel software (sssMOR toolbox)." @default.
• W3011784218 created "2020-03-23" @default.
• W3011784218 creator A5033525561 @default.
• W3011784218 creator A5058542451 @default.
• W3011784218 date "2019-01-01" @default.
• W3011784218 modified "2023-09-23" @default.
• W3011784218 title "Investigation and Reduction of Large-Scale Dynamical Systems" @default.
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• W3011784218 hasPublicationYear "2019" @default.
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