2011 International Siberian Conference on Control and Communications (SIBCON) 2011
DOI: 10.1109/sibcon.2011.6072586
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Frequency domain subspace identification of discrete-time singular power spectra

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Cited by 2 publications
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“…This brief subsection introduces some preliminary concepts and definitions from matrix pencil theory, which are being used throughout the paper. Linear systems of type (1) are closely related to matrix pencil theory, since the algebraic geometric, and dynamic properties stem from the structure by the associated pencil sF − G. The matrix pencil theory has been extensively used for the study of LDTSs with time invariant coefficients, see for instance [7-21, 23-27, 32-34, 43]. The class of sF − G is characterized by a uniquely defined element, known as a complex Weierstrass canonical form, sF w − G w , see [7,23,32,43], specified by the complete set of invariants of sF − G. This is the set of elementary divisors (e.d.)…”
Section: Mathematical Background and Notationmentioning
confidence: 99%
“…This brief subsection introduces some preliminary concepts and definitions from matrix pencil theory, which are being used throughout the paper. Linear systems of type (1) are closely related to matrix pencil theory, since the algebraic geometric, and dynamic properties stem from the structure by the associated pencil sF − G. The matrix pencil theory has been extensively used for the study of LDTSs with time invariant coefficients, see for instance [7-21, 23-27, 32-34, 43]. The class of sF − G is characterized by a uniquely defined element, known as a complex Weierstrass canonical form, sF w − G w , see [7,23,32,43], specified by the complete set of invariants of sF − G. This is the set of elementary divisors (e.d.)…”
Section: Mathematical Background and Notationmentioning
confidence: 99%
“…Applications of absorbing Markov chains or the distribution of heat through a long rod or bar are other interesting applications suggested in [26]. Thus many authors have studied discrete time systems and their applications, see [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [13], [15], [16], [17], [18], [19], [20], [21], [22], [24], [25], [26], [27], [28], [29].…”
Section: Introductionmentioning
confidence: 99%