2000
DOI: 10.1063/1.481431
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Testing the identifiability of a model for reversible intermolecular two-state excited-state processes

Abstract: The modeling of excited-state processes in photophysics can conveniently be done within the framework of compartmental analysis. In compartmental analysis substantial attention has been devoted to the study of deterministic identifiability, which verifies whether it is possible to determine the parameters of the compartmental model from error-free data. In this paper the similarity transformation approach is applied to the identifiability problem of the photophysical model for reversible intermolecular two-sta… Show more

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Cited by 18 publications
(43 citation statements)
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“…[3] Since the first identification of an intermolecular two-state excited-state process, [3] identifiability studies of a broad range of compartmental models of intermolecular and intramolecular two-and three-state excited-state processes have been reported (see ref. [4] for literature data). For the linear, time-invariant models, the parameters to be identified are time-invariant rate constants and spectral parameters related to excitation and emission.…”
Section: Introductionmentioning
confidence: 98%
“…[3] Since the first identification of an intermolecular two-state excited-state process, [3] identifiability studies of a broad range of compartmental models of intermolecular and intramolecular two-and three-state excited-state processes have been reported (see ref. [4] for literature data). For the linear, time-invariant models, the parameters to be identified are time-invariant rate constants and spectral parameters related to excitation and emission.…”
Section: Introductionmentioning
confidence: 98%
“…However, its use in photophysics is of recent date. [13][14][15][16][20][21][22][23][24][25] In a photophysical framework a compartment is a subsystem composed of a distinct type of species that acts kinetically in a unique way. The concentration of the constituting species can change when the compartments exchange material through intermolecular (or intramolecular) processes.…”
Section: Introductionmentioning
confidence: 99%
“…A number of alternative approaches to identifiability analysis are available and have been employed for the analysis of the identification of common photophysical models. We have extensively used Markov parameters and elementary functions of the rate constants for this purpose (see literature references in [9] and [10]). …”
Section: Discussionmentioning
confidence: 99%
“…we have studied the identifiability of the controllable and observable, intermolecular, two-state excited-state system via the similarity transformation approach. The identifiability analysis for the non-controllable system is formally equivalent to that described in Ref [10], but one has to exploit the required independence of t i of the …”
Section: D Non-observable System With Amentioning
confidence: 99%
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