Subspace identification of multivariable linear parameter-varying systems
A subspace identification method is discussed. It deals with multivariable linear parameter-varying state-space systems with affine parameter dependence. To overcome the problem of exponential increase in the number of rows of the data matrices, a selection procedure for reducing their numbers is proposed. An efficient selection algorithm is discussed that does not require the formation of the complete data matrices, but processes them row-by-row. In this way, one avoids the need of constructing the entire data matrix.
scientific article; zbMATH DE number 1797056