Structured low-rank approximation (SLRA) is a mathematical framework that seeks to approximate a given data matrix by another matrix of lower rank while preserving intrinsic structural properties.
Polynomial matrices, whose entries are univariate or multivariate polynomials, furnish a powerful algebraic framework for the analysis and control of linear systems. By extending classical matrix ...
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