Lassi Hietarinta

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By the Floquet–Lyapunov transformation, a linear periodically time-varying discrete-time system has a state-space representation (A, B(n), C(n)) having time-invariant autonomous dynamics, while the time periodicity is contained in the input and output matrices. In this paper it is shown that such a system also has state-space realizations of the form (A,(More)
Least-squares support vector regression is applied to identify linear periodically time-varying (LPTV) systems. In this contribution the LPTV systems are modelled using a Fourier series representation of the transfer function and orthonormal filter expansions, such as Laguerre or Kautz filters. The model parameters are determined using least-squares support(More)
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