Near-optimal control for stochastic recursive problems

被引:15
作者
Hui, Eddie [2 ]
Huang, Jianhui [3 ]
Li, Xun [3 ]
Wang, Guangchen [1 ,4 ]
机构
[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
[2] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R China
[3] Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
[4] Shandong Normal Univ, Sch Math Sci, Jinan 250014, Peoples R China
基金
美国国家科学基金会;
关键词
Backward stochastic differential equation; Ekeland's principle; Near-optimal; Necessary condition; Sufficient condition; DIFFERENTIAL-EQUATIONS;
D O I
10.1016/j.sysconle.2010.10.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It is well documented (e.g. Zhou (1998) [8]) that the near-optimal controls, as the alternative to the "exact" optimal controls, are of great importance for both the theoretical analysis and practical application purposes due to its nice structure and broad-range availability, feasibility as well as flexibility. However, the study of near-optimality on the stochastic recursive problems, to the best of our knowledge, is a totally unexplored area. Thus we aim to fill this gap in this paper. As the theoretical result, a necessary condition as well as a sufficient condition of near-optimality for stochastic recursive problems is derived by using Ekeland's principle. Moreover, we work out an E-optimal control example to shed light on the application of the theoretical result. Our work develops that of [8] but in a rather different backward stochastic differential equation (BSDE) context. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:161 / 168
页数:8
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