
doi: 10.1007/bf02523124
Three variants of the Lanczos algorithm for generating Krylov sequences and three examples of linear control theory applications of those were given. The systems considered are linearized systems arising from physical models with up to thousand states. Let us remind that the Kalman controllability matrix is a slight generalization of the Krylov sequence. The block Arnoldi algorithm is used; it is based on the QR factorization algorithm of Kublanovskaa and Francis. Model reductions based on balanced realization and parameter matching are considered.
Controllability, Krylov space, large scale linear systems, System structure simplification, Multivariable systems, multidimensional control systems, Arnoldi algorithm, balanced realization, Large-scale systems, model reductions, Computational methods in systems theory
Controllability, Krylov space, large scale linear systems, System structure simplification, Multivariable systems, multidimensional control systems, Arnoldi algorithm, balanced realization, Large-scale systems, model reductions, Computational methods in systems theory
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