Stochastic age-dependent population system;
Near-optimal;
Ekeland's variational principle;
Necessary and sufficient conditions;
DIFFERENTIAL-EQUATIONS;
POPULATION-DYNAMICS;
D O I:
10.1016/j.amc.2013.06.048
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
In this paper, we consider a near-optimal harvesting control problems for stochastic age-structured population system. We establish necessary and sufficient conditions for near-optimality. These conditions are described by adjoint equations and a nearly maximum condition on the Hamiltonian. The proof of the main result is based on Ekeland's variational principle and the adjoint processes with respect to the control variable. As is well known, optimal controls may fail to exist even in simple cases. This justifies the use of near-optimal controls, which exist under minimal assumptions and are sufficient in most practical cases. At last, an example is given for illustrating our results. (C) 2013 Published by Elsevier Inc.
机构:
Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
Huang, Jianhui
;
Li, Xun
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
Li, Xun
;
Wang, Guangchen
论文数: 0引用数: 0
h-index: 0
机构:
Shandong Normal Univ, Sch Math Sci, Jinan 250014, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
机构:
Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
Huang, Jianhui
;
Li, Xun
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
Li, Xun
;
Wang, Guangchen
论文数: 0引用数: 0
h-index: 0
机构:
Shandong Normal Univ, Sch Math Sci, Jinan 250014, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China