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This model consists of four subsystems: population system, economic system, water supply system and water demand system.
And so an overall model somewhat simplified for a population system is the open loop model in the absence of retarding factors.
The variables that determine the abundance and distribution of a population, in time and space, constitute a population system.
These elements of the population system largely determine the capacity of the population to maintain itself within a shifting landscape mosaic of habitable and unhabitable patches.
For both, the two-mass pendulum and a predator-prey population system, the period of the vibrating system is sensitive to properties of that system especially for the two-mass pendulum, for which instability occurs for certain combinations of masses.
The proposed methods are developed for population balance systems that, in addition to an advective and a birth rate term, include an external variable which may be fixed (referring to the integration problem), or is to be computed for some prespecified evolution of the population system (referring to the dynamic inversion problem).
Shigesada et al. [20] investigated the effect of cross-diffusion in a competitive population system first.
But for a population system, we always expect there is a positive solution.
Our stochastic population system is therefore more complicated and the mathematics presented is more difficult.
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The non-immigrant, immigrant, and mixed components of the overall population are projected as a tri-population system.
Recently, the dynamic optimization of (linear) large-population system has attracted extensive research attentions from academic communities.
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