2019 IEEE 58th Conference on Decision and Control (CDC) 2019
DOI: 10.1109/cdc40024.2019.9029789
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Identification of Continuous Volterra Models with Explicit Time Delay through Series of Laguerre Functions

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Cited by 5 publications
(3 citation statements)
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“…Second-order VL models capture the oculodynamics of the SPS well both in the patients and controls. This is in line with previous research on VL modeling of the SPS [8], [24], [25]. Therefore, higher-order nonlinearities appear to be insignificant in the oculodynamics.…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…Second-order VL models capture the oculodynamics of the SPS well both in the patients and controls. This is in line with previous research on VL modeling of the SPS [8], [24], [25]. Therefore, higher-order nonlinearities appear to be insignificant in the oculodynamics.…”
Section: Discussionsupporting
confidence: 92%
“…Yet, when the value of the delay is of interest, it has to be explicitly parameterized in the model, which case is seldom addressed in the literature. For continuous VL models with time delay, the problem of estimating the kernels is solved in [25]. A corresponding discrete-time formulation is introduced for the first time in the present paper hinging on recently obtained Laguerre-domain representation of discrete linear time-invariant systems with delay [26].…”
Section: Introductionmentioning
confidence: 99%
“…(5). Continuous VL models with explicit time delay are dealt with in [18] and the discrete counterpart is covered in [19], applied to mathematical modeling of the human smooth pursuit system.…”
Section: Discussionmentioning
confidence: 99%