Optimal Control Policies of Pests for Hybrid Dynamical Systems

Joint Authors

Liu, Bing
He, Mingfeng
Kang, Baolin

Source

Abstract and Applied Analysis

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-16, 16 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-09-30

Country of Publication

Egypt

No. of Pages

16

Main Subjects

Mathematics

Abstract EN

We improve the traditional integrated pest management (IPM) control strategies and formulate three specific management strategies, which can be described by hybrid dynamical systems.

These strategies can not only effectively control pests but also reduce the abuse of pesticides and protect the natural enemies.

The aim of this work is to study how the factors, such as natural enemies optimum choice in the two kinds of different pests, timings of natural enemy releases, dosages and timings of insecticide applications, and instantaneous killing rates of pesticides on both pests and natural enemies, can affect the success of IPM control programmes.

The results indicate that the pests outbreak period or frequency largely depends on the optimal selective feeding of the natural enemy between one of the pests and the control tactics.

Ultimately, we obtain the only pest x2 needs to be controlled below a certain threshold while not supervising pest x1.

American Psychological Association (APA)

Kang, Baolin& He, Mingfeng& Liu, Bing. 2013. Optimal Control Policies of Pests for Hybrid Dynamical Systems. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-481962

Modern Language Association (MLA)

Kang, Baolin…[et al.]. Optimal Control Policies of Pests for Hybrid Dynamical Systems. Abstract and Applied Analysis No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-481962

American Medical Association (AMA)

Kang, Baolin& He, Mingfeng& Liu, Bing. Optimal Control Policies of Pests for Hybrid Dynamical Systems. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-481962

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-481962