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- W1485339640 abstract "This paper studies asymptotic properties of /spl Hscr//sub /spl infin// identification problems and algorithms. The sample complexity of time- and frequency-domain /spl Hscr//sub /spl infin// identification problems is estimated, which exhibits a polynomial growth requirement on the input observation duration for the time-domain /spl Hscr//sub /spl infin// identification problem, and a linear growth rate of frequency response samples required for the frequency-domain /spl Hscr//sub /spl infin// identification problem. The divergence behavior is also established for linear algorithms for the time- and frequency-domain problems. The results extend previous work to more restricted sets of linear time-invariant systems with more refined a priori information, specifically imposed on the stability degree and the steady-state gain of the systems, thus demonstrating that no robustly convergent linear algorithms can exist even for a small set of exponentially stable systems." @default.
- W1485339640 created "2016-06-24" @default.
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- W1485339640 date "2002-04-01" @default.
- W1485339640 modified "2023-09-27" @default.
- W1485339640 title "Worst-case asymptotic properties of ℋ/sub ∞/ identification" @default.
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- W1485339640 doi "https://doi.org/10.1109/81.995658" @default.
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