DocumentCode
510152
Title
Ecological Modeling and Simulation: A New Method of Impulsive Control for the LotkaVolterra System
Author
Ye, Xinxin ; Zhang, Qiang ; Shan, Lifei ; Wan, Yuehua
Author_Institution
Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China
Volume
1
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
616
Lastpage
620
Abstract
This paper mainly discusses the control strategy for an profit-oriented ecosystem which is described by multi-dimensional Lotka-Volterra model. The though comes from the concept of impulsive control which can reach the same effect with continuous control strategy but has much more advantages while considering the feasibility factors. The difference with other impulsive control strategies is that we try to seek a balance point among the economical and environmental effects and the applicability of the strategy by taking the cost of harvesting into consideration. Moreover, the proposed control strategy can obtain the optimum time interval which is often neglected in other papers. The numerical simulation shows that the control strategy can refine an autonomous system which is harmful for the surrounding environment to a system that is both economically interesting and environmentally friendly. Meanwhile, the control strategy is easy to be applied and popularized.
Keywords
Volterra equations; ecology; environmental factors; Lotka-Volterra system; control strategy; ecological modeling; ecological simulation; environmental effects; impulsive control; multidimensional Lotka-Volterra model; profit-oriented ecosystem; Automatic control; Biological system modeling; Computational modeling; Control systems; Ecosystems; Environmental economics; Linear feedback control systems; Manufacturing automation; Marine animals; Sliding mode control;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.407
Filename
5376327
Link To Document