DocumentCode :
2667480
Title :
Molding the dynamic system with memory-dependent derivative
Author :
Li Huifeng ; Wang Jinliang
Author_Institution :
Fac. of Inst. of Appl. Math., Qingdao Technol. Univ., Qingdao, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
1032
Lastpage :
1036
Abstract :
As a new alternative of fractional-order derivative, we have brought forth the concept of “memory-dependent derivative”. It is more flexible than the fractional-order one in describing the memory effect. In fact, not only the time-delay but also the weighted function can be chosen freely to adapt the request of different dynamic processes. As an example of applications the Malthus population model in ecology is studied. It follows from numerical simulations that the memory-dependent differential equation type of model has more power in representing the variation of population evolution. Theoretical study reveals that to ensure the existence and uniqueness of solution the time delay should smaller than an upper bound determined by the weighted function. Till now, the study on the theory and applications of memory-dependent derivative is just on its prime stage, it needs further research.
Keywords :
delays; differential equations; ecology; numerical analysis; Malthus population model; dynamic system molding; ecology; fractional order derivative; memory-dependent derivative; memory-dependent differential equation; numerical simulation; population evolution; time delay; upper bound; Biological system modeling; Delay; Delay effects; Differential equations; Equations; Mathematical model; Numerical models; Fractional Derivative; Malthus Population Model; Memory-Dependent Derivative; Memory-Dependent Differential Equation (MDDE); Time-Delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
Type :
conf
DOI :
10.1109/CCDC.2012.6244162
Filename :
6244162
Link To Document :
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