1994
DOI: 10.1016/0009-2509(94)87006-3
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A general analysis of exact nonlinear lumping in chemical kinetics

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Cited by 64 publications
(38 citation statements)
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“…The transformation can be operated with rigorous mathematical approaches, such as exact lumping methods Li and Rabitz, 1989;Li et al, 1994a), and approximate lumping Li and Rabitz, 1990;Li et al, 1994b;Tomlin et al, 1994;Wang et al, 1998). For example, during the development of RADM2 (Stockwell et al, 1990), the primary VOCs were lumped based on aggregation factors of their reactivity with OH radicals.…”
Section: Methods To Eliminate Speciesmentioning
confidence: 99%
“…The transformation can be operated with rigorous mathematical approaches, such as exact lumping methods Li and Rabitz, 1989;Li et al, 1994a), and approximate lumping Li and Rabitz, 1990;Li et al, 1994b;Tomlin et al, 1994;Wang et al, 1998). For example, during the development of RADM2 (Stockwell et al, 1990), the primary VOCs were lumped based on aggregation factors of their reactivity with OH radicals.…”
Section: Methods To Eliminate Speciesmentioning
confidence: 99%
“…Farkas [15] has analysed kinetic lumping schemes consisting of linear projective transformation of the original concentrations, and gave conditions for the transformation and its pseudo-inverse that preserve the reaction kinetic form of the reduced model. The general nonlinear exact and approximate lumping of reaction kinetic models has been analysed by Li and co-workers [16], who also treated the model reduction as a nonlinear projective model transformation.…”
Section: Model Reduction Using Variable Lumpingmentioning
confidence: 99%
“…Linear kinetic lumping schemes were defined and analysed by Farkas [15], while general nonlinear lumping in chemical kinetics was investigated by Lee et al [16]. Although both of the above model reduction methods are quite widespread, none of them has been analysed from a thermodynamic or from a system theoretical viewpoint yet.…”
Section: Introductionmentioning
confidence: 99%
“…• reduce the number of variables either by constructing an appropriate lumping scheme [17] or by simply eliminating some variables;…”
Section: Introductionmentioning
confidence: 99%