Title :
Anticipative chaos control in population models with the Allee effect
Author :
Crisan, M. ; Erzse, G.
Author_Institution :
Dept. of Comput. & Software Eng., Polytech. Univ. of Timisoara, Timisoara
Abstract :
The paper discusses the possibility to control the chaotic transients that lead to extinctions in population models affected by the Allee effect. In contrast with other methods that try to avoid chaos, in the present approach the system is maintained in chaos, but controlling techniques are applied to keep the dynamics on the desired trajectories. The results of simulations demonstrated the capability to anticipate and avoid extinction, keeping the population density above the threshold for the Allee effect.
Keywords :
chaos; ecology; nonlinear control systems; Allee effect; anticipative chaos control; chaotic transients; population models; Biological system modeling; Chaos; Control systems; Embedded computing; Environmental management; Equations; Logistics; Predictive models; Software engineering;
Conference_Titel :
Computer Engineering & Systems, 2008. ICCES 2008. International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-2115-2
Electronic_ISBN :
978-1-4244-2116-9
DOI :
10.1109/ICCES.2008.4772999