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An algorithm is developed for passivity preserving model reduction of LTI systems. The derivation is justified analytically and implementation schemes are developed for both medium scale (dense) and large scale (sparse) applications. The algorithm is based upon interpolation of specified spectral zeros of the original transfer function to produce a reduced transfer function that has the specified...
A new approach to the identification of linear repetitive processes based on subspace algorithms is presented. The order of a linear repetitive process, the unknown process matrices, and the noise covariance matrices are determined based on sequences of the actual pass input and the previous pass output, and the actual pass output. The identification procedure can be restarted consecutively starting...
We propose a new perspective on the identification of linear dynamic system using structural similarity. The proposal consists in the meaningful exploration of each model, specifically behavior of the state variable. The decomposition of the behavior of a state variable in different modes of behavior of a system, each one has a different set of weights and shows different patterns of behavior. These...
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