Volume 18, no. 1Pages 15 - 34 Method of Tangential Control of "Predator-Prey"
A.N. Kirillov, A.S. IvanovaA researched model is actually a system of three ordinary differential equations, two of which are the Lotka-Volterra system where species of predator population are removed and the other one is a differential equation regarding trophic attractiveness of the patch. The problem of preserving diversity of biological society is solved by excluding predators. The existence of a curve dividing the multitude equal to various meanings of basic number of populations into two is proved: the points of the first are to be controlled in order to prevent predators' migration, the second set of points does not require control. Analytical and numerical researches of the curve have been conducted. A method of tangential control has been suggested as the one that allows to save the species structure of bio population on the patch. Control processes were constructed according to the suggested way, later the most effective one has been chosen with the help of numerical modelling in terms of its minimal invasion into natural processes of bio population and its expenses.
Full text- Keywords
- trophic attractiveness of the patch; Lotka-Volterra system; dynamical system; control process; numerical method.
- References
- 1. Elton C.S. The Ecology of Invasions by Animals and Plants. London, Springer Cham, 1958. DOI: 10.1007/978-3-030-34721-5
2. Kirillov A.N. Ecological Systems with Variable Dimension. OP and PM Surveys on Applied and Industrial Mathematics, 1999, vol. 6, no. 2, pp. 318-336. (in Russian)
3. Ivanova A., Kirillov A. Equilibrium and Control in the Biocommunity Species Composition Preservation Problem. Automation and Remote Control, 2017, vol. 78, no. 8, pp. 1500-1511. DOI: 10.1134/S0005117917080100
4. Kirillov A.N., Ivanova A.S. Periodic and Quasiperiodic Control Processes in the Biocommunity Species Composition Preserving Problem. Transactions of the Karelian Research Centre of the Russian Academy of Sciences. Mathematical Modeling and Information Technologies Series, 2015, no. 10, pp. 99-106. DOI: 10.17076/mat148
5. Ivanova A.S., Kirillov A.N. Numerical Modeling of a Periodic Process That Preserves the Species Structure of a Biocommunity. Mathematical Models and Computer Simulations, 2022, vol. 14, no. 1, pp. 38-46. DOI: 10.1134/S2070048222010148
6. Andreeva E.A., Tsiruleva V.M., Kozheko L.G. The Model of Fisheries Management. Modeling, Optimization and Information Technology, 2017, no. 4 (19), 10 p. (in Russian)
7. Il'ichev V.G., Dashkevich L.V. Optimal Fishing and Evolution of Fish Migration Routes. Computer Research and Modeling, 2019, vol. 11, no. 5, pp. 879-893. DOI: 10.20537/2076-7633-2019-11-5-879-893
8. Arditi R., Ginzburg L.R. Coupling in Predator-Prey Dynamics: Ratio-Dependence. Journal of Theoretical Biology, 1989, vol. 139, pp. 311-326. DOI: 10.1016/S0022-5193(89)80211-5
9. Hamilton W. Geometry for the Selfish Herd. Journal of the Theoretical Biology, 1971, vol. 31, pp. 295-311. DOI: 10.1016/0022-5193(71)90189-5
10. Leonov G.A. Mathematical Problems of Control Theory: An Introduction. Singapore, World Scientific, 2001.
11. Shih S.-D. The Period of a Lotka-Volterra System. Taiwanese Journal of Mathematics, 1997, vol. 1, no. 4, pp. 451-470. DOI: 10.11650/twjm/1500406122