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which can be associated with a parametrical identification problem of a discrete dynamic system, where { x n } is the sequence of measured data, or measurable output, of the identified system and { y n } is the corresponding data given by the identifier, i.e. the sequence of adjustable data, which is a recursive parameter estimator [22 24].
For the identified system, stability analysis was conducted.
State space form of the identified system is very convenient for estimation, prediction, and control [6].
The adaptation rules depend on the identified system dynamics through an adaptive lattice filter.
The results suggest that conservatism is fairly low but increasing as the identified system size increases.
Alternatively the identified system of significant models represented with provenance graphs can be merged using techniques briefly described here.
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Finally, the velocity controller and the position controller are adjusted according to the identified systems.
In this section, we present the identified systems grouped according to the processes they support.
We classified the identified systems according to repeat types and associated cas genes where possible.
Subsequently, the identified systems are described in more detail with regard to their properties and specific features.
Of the 14 identified systems, 11 delivered interventions that relied primarily on text-messaging technology.
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