<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This is a <italic>selected overview</italic> of a research line initiated and mostly developed by the three authors over the last three decades. Applying the state space paradigm of Mathematical Systems Theory, monitoring means that from the observation (a transform) of an unknown state process, the latter should be recovered. Since most of the dynamic models of population biology are nonlinear, for solving the monitoring problem, tools of nonlinear analysis are applied in different contexts. This approach to monitoring has found different applications ranging from population ecology to radiotherapy, from stock estimation in fisheries to monitoring of solar thermal heating systems.</p>
</abstract>

This is a selected overview of a research line initiated and mostly developed by the three authors over the last three decades. Applying the state space paradigm of Mathematical Systems Theory, monitoring means that from the observation (a transform) of an unknown state process, the latter should be recovered. Since most of the dynamic models of population biology are nonlinear, for solving the monitoring problem, tools of nonlinear analysis are applied in different contexts. This approach to monitoring has found different applications ranging from population ecology to radiotherapy, from stock estimation in fisheries to monitoring of solar thermal heating systems.

Monitoring of population systems

Hungarian University of Agriculture and Life Sciences

Pure Mathematics and Applications

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Monitoring of population systems"}

This is a selected overview of a research line initiated and mostly developed by the three authors over the last three decades. Applying the state space...

Monitoring of population systems

Online veröffentlicht: 07. Nov. 2022

Seitenbereich: 78 - 91

Eingereicht: 08. Jan. 2022

DOI: https://doi.org/10.2478/puma-2022-0026

Schlüsselwörter
structured population, community of populations, monitoring, observer design

© 2022 Zoltán Varga et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Monitoring of population systems

Online veröffentlicht: 07. Nov. 2022

Seitenbereich: 78 - 91

Eingereicht: 08. Jan. 2022

DOI: https://doi.org/10.2478/puma-2022-0026

Schlüsselwörterstructured population, community of populations, monitoring, observer design

© 2022 Zoltán Varga et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
structured population, community of populations, monitoring, observer design