DELAY DIFFERENTIAL EQUATIONS IN SINGLE SPECIES DYNAMICS
By Shigui Ruan. 2006
235 citations recorded by the source corpus.
Subfields: Genetics, Modeling and Simulation, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/07c7449dff896214802dd75f8b6e6cb4293e43e9
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In Genetics
In Modeling and Simulation
In Public Health, Environmental and Occupational Health
Citations in the corpus
- Further remarks on the effect of multiple spectral values on the dynamics of time-delay systems. Application to the control of a mechanical system (2017, background): “…host population x ( t ) is governed by: here a 1 > 0 designates the contact rate between infected and uninfected populations and it is assumed that the infection of the host recovery proceeds exponentially at a rate − a 0 > 0, see also [16] for more insights on the modeling and stability results.”
- Multiplicity-induced-dominancy in parametric second-order delay differential equations: Analysis and application in control design (2020, unknown): “In its linearized version, the infected host population ξ(t) is governed by: ξ̇(t) + a0 ξ(t) + a1 ξ(t− τ) = 0, (8) where a1 > 0 designates the contact rate between infected and uninfected populations assuming that the infection of the host recovery proceeds exponentially at a rate −a0 > 0, see for i”
- On Nonlinear Dynamics of Predator-Prey Models with Discrete Delay ⁄ (2009, unknown): “Recently, in a book chapter [75], I reviewed some basic single specie models described by (both discrete and distributed) delay differential equations.”
- Characterizing the Codimension of Zero Singularities for Time-Delay Systems (2016, background): “where a1 > 0 designates the contact rate between infected and uninfected populations and it is assumed that the infection of the host recovery proceeds exponentially at a rate −a0 > 0; see also [39] for more insights on the modeling and stability results.”