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In this paper, we improve the concept of (C^{m} -almost periodiC^{m} -almostdic time scales.
Let be a periodic time scale with period.
If is a periodic time scale with period, then.
Let T be a periodic time scale with period such that, and.
Let (mathbb{T}neqmathbb{R}) be a periodic time scale with period (p>0).
(mathbb {T}) is a periodic time scale.
Similar(14)
The learning-based updating law is utilized to compensate for periodic time-varying parametric uncertainties.
There were 2000 periodic time-series under each SNR.
The periodic time-series was generated by two models based on the methods proposed by Robeva et al. (2008).
Hence, all constant-periodic time scales are particular changing-periodic time scales (see Figure 1).
Therefore, (mathbb{T}) is a changing-periodic time scale.
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