2003
DOI: 10.1556/comec.4.2003.1.11
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State monitoring of a population system in changing environment

Abstract: For Lotka-Volterra population systems, a general model of state monitoring is presented. The model includes time-dependent environmental effects or direct human intervention (treatment) as control functions and, instead of the whole state vector, the densities of certain indicator species (distinguished or lumped together) are observed. Mathematical systems theory offers a sufficient condition for local observability in such systems. The latter means that, based on the above (dynamic) partial observation, the … Show more

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Cited by 19 publications
(17 citation statements)
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“…For earlier applications of the concept of observability and observer systems, see e.g. Varga et al (2003), López et al (2007), Varga (2008) and Gámez et al (2008). In Section 4 with illustrative data we will show how the number of healthy cells can be steered to a desired level, applying an appropriate feedback control.…”
Section: Introductionmentioning
confidence: 99%
“…For earlier applications of the concept of observability and observer systems, see e.g. Varga et al (2003), López et al (2007), Varga (2008) and Gámez et al (2008). In Section 4 with illustrative data we will show how the number of healthy cells can be steered to a desired level, applying an appropriate feedback control.…”
Section: Introductionmentioning
confidence: 99%
“…The methodological foundations of the application of controllability and observability to frequency-dependent population models (described by systems with invariant manifold), have been set in Varga (1989) and Varga (1992), see also Scarelli and Varga (2002). The original problem of state monitoring of a population system as formulated in Varga et al (2003) is that, from the observation of the time-dependent densities of certain species, the whole state process of the population system is to be recovered. An important concept for the solution of this problem is observability.…”
Section: Introductionmentioning
confidence: 99%
“…The latter in this context means that from the observation of one or several (but not all) state variables, it is possible to recover the whole state process of the populations system, in a unique way (without determining, however, a constructive method to obtain this process.) Observability has been analysed in different population system models in Varga et al (2002Varga et al ( , 2003 and Shamandy (2005), see also López (2003), López et al (2004). In order to prove observability, we use a general sufficient condition for local observability of nonlinear observation systems, published in Lee and Markus (1971).…”
Section: Introductionmentioning
confidence: 99%
“…The corresponding concepts 29 and theorems have been extended with local character to nonlinear systems in [3], but 30 found applications to population systems only recently, see e.g. [4]- [10]. These papers 31 either deal with the theoretical problem of observability or, if also observers are 32 constructed, the results concern only Lotka-Volterra-type population systems.…”
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confidence: 99%
“…4), where all components are present. The right-3 hand side of the system is given by the following function: …”
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confidence: 99%