Title :
ZG Control of Populations of Lotka-Volterra Equations Using Interaction Coefficients as Inputs
Author :
Yunong Zhang ; Yinyan Zhang ; Dechao Chen ; Zhengli Xiao ; Hongzhou Tan
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ. (SYSU), Guangzhou, China
Abstract :
Lotka-Volterra equations describe the population relationship between two species, i.e., predator and prey. In many circumstances, it is necessary to introduce a control method into such a predator-prey system. Different from traditional methods, by applying Zhang-gradient (ZG) method and using interaction coefficients of Lotka-Volterra equations as inputs, the population control problem of the predator-prey system is solved in this paper. Besides, various coefficient controllers according to the ZG method for different control purposes based on the predator-prey system are designed. In addition, simulation results substantiate the effectiveness of the ZG coefficient controllers.
Keywords :
differential equations; predator-prey systems; Lotka-Volterra equations; ZG coefficient controllers; ZG method; Zhang-gradient method; interaction coefficients; population relationship; predator-prey system; Equations; Mathematical model; Predator prey systems; Simulation; Sociology; Statistics; Trajectory; Lotka-Volterra equations; ZG method; control; predator-prey system;
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
DOI :
10.1109/CSE.2014.240