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Hopf bifurcation analysis in a predator-prey model with square root response function with two time delays
J. Info. Comput. Sci. , 13 (2018), pp. 261-268.
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@Article{JICS-13-261,
author = {Miao Peng and Zhengdi Zhang},
title = {Hopf bifurcation analysis in a predator-prey model with square root response function with two time delays},
journal = {Journal of Information and Computing Science},
year = {2018},
volume = {13},
number = {4},
pages = {261--268},
abstract = {In this paper, we investigate the local stability and Hopf bifurcation analysis in a predator-prey model with
square root response function and two time delays. By choosing the two delays as the bifurcation parameter and by
analyzing the corresponding characteristic equations, the conditions for the stability and existence of Hopf bifurcation for
the system are obtained. Finally, the corresponding numerical simulations are carried out to support the theoretical
analysis. },
issn = {3080-180X},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22435.html}
}
TY - JOUR
T1 - Hopf bifurcation analysis in a predator-prey model with square root response function with two time delays
AU - Miao Peng and Zhengdi Zhang
JO - Journal of Information and Computing Science
VL - 4
SP - 261
EP - 268
PY - 2018
DA - 2018/12
SN - 13
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22435.html
KW -
AB - In this paper, we investigate the local stability and Hopf bifurcation analysis in a predator-prey model with
square root response function and two time delays. By choosing the two delays as the bifurcation parameter and by
analyzing the corresponding characteristic equations, the conditions for the stability and existence of Hopf bifurcation for
the system are obtained. Finally, the corresponding numerical simulations are carried out to support the theoretical
analysis.
Miao Peng and Zhengdi Zhang. (2018). Hopf bifurcation analysis in a predator-prey model with square root response function with two time delays.
Journal of Information and Computing Science. 13 (4).
261-268.
doi:
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