Title
Nonlinear Switching Control For Suppressing The Spread Of Avian Influenza
Abstract
This paper proposes a novel method of killing birds and applying vaccines for suppressing the spread of avian influenza via a nonlinear switching control approach. The switching strategy is based on the population of the susceptible birds and the population of the susceptible humans. There are four switching cases. For the first three switching cases, the elimination control force and the quarantine control force are equal to either zero or one. For the last switching case, they are equal to one minus a scalar divided by the population of the susceptible birds and one minus another scalar divided by the population of the susceptible humans, respectively. The system state vectors of the avian influenza model are guaranteed to reach the desirable equilibrium point. Also, the positivity requirements on the system states as well as the constraints on both the lower bounds and the upper bounds of both the elimination control force and the quarantine control force are guaranteed to be satisfied. Computer numerical simulation results show that the proposed control strategy is very effective and efficient.
Year
Venue
Field
2015
PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
Population,Nonlinear system,Control theory,Sociology,Scalar (physics),Equilibrium point,Control engineering,Real-time computing,Influenza A virus subtype H5N1
DocType
ISSN
Citations 
Conference
1935-4576
0
PageRank 
References 
Authors
0.34
3
11
Name
Order
Citations
PageRank
Xiao-Zhi Zhang113.73
Caixia Liu200.34
Bingo Wing-Kuen Ling323350.78
Meilin Wang400.34
Lidong Wang511.73
Vera Sau-Fong Chan600.34
kimfung tsang7131.60
Kwoktai Chui801.01
Chung Kit Wu9188.49
Faan Hei Hung1075.99
W. H. Lau1101.69