Proceedings of the 48h IEEE Conference on Decision and Control (CDC) Held Jointly With 2009 28th Chinese Control Conference 2009
DOI: 10.1109/cdc.2009.5400893
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A Floquet-like factorization for linear periodic systems

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Cited by 4 publications
(7 citation statements)
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“…for certain matrix-valued functionsP 11 ∈ C 1 (R, R n1×n1 ), (9). Then, the determinant of its monodromy matrix is positive.…”
Section: T -Periodic Decompositionmentioning
confidence: 99%
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“…for certain matrix-valued functionsP 11 ∈ C 1 (R, R n1×n1 ), (9). Then, the determinant of its monodromy matrix is positive.…”
Section: T -Periodic Decompositionmentioning
confidence: 99%
“…The periodic Kalman canonical decomposition and the Floquet factorization (or the Floquet-like factorization by the authors) [9,10,11] have been independently investigated; specifically, the periodic Kalman canonical decomposition in [8] is based on the factorization of matrixvalued functions due to Sibuya and the Floquet factorization (or the Floquet-like factorization) is based on the computation of matrix logarithms. The proof of Theorem 9 is based on the computation of matrix logarithms and is analogous to the computation procedure of the Floquetlike factorization.…”
Section: Relation To the Floquet-like Factorizationmentioning
confidence: 99%
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“…For continuous-time systems, Floquet factorization consists of finding the matrix logarithm of the monodromy matrix, i.e., the system state transition matrix Φ(T, 0) over one period. Although a Floquet factorization always exists (Jikuya and Hodaka 2009), it need not be real. In particular, when the monodromy matrix has real-valued negative eigenvalues, there are cases when no real-valued Floquet factorization exists.…”
Section: Introductionmentioning
confidence: 99%
“…Yakubovich and Starzhinskii (1975) and Montagnier, Paige and Spiteri (2003) consider a Floquettype system characterization which, although 2T -periodic, has the property that the solutions can be found from computations on a single period of length T . Jikuya and Hodaka (2009) introduce a factorization, where periodicity of the system matrix is preserved, but it can be expressed as a Fourier series containing only one frequency component.…”
Section: Introductionmentioning
confidence: 99%