An Empirical Study for Transboundary Pollution of Three Gorges Reservoir Area with Emission Permits Trading

被引：4
|
作者：
Lu, Zuliang [1 ,2 ]
Feng, Yuming [3 ,4 ]
Zhang, Shuhua [2 ]
Li, Lin
Cao, Longzhou [1 ]
机构：
[1] Chongqing Three Gorges Univ, Key Lab Nonlinear Sci & Syst Struct, Chongqing 404000, Peoples R China
[2] Tianjin Univ Finance & Econ, Res Ctr Math & Econ, Tianjin 300222, Peoples R China
[3] Chongqing Three Gorges Univ, Key Lab Intelligent Informat Proc & Control, Chongqing Municipal Inst Higher Educ, Chongqing 404100, Peoples R China
[4] Chongqing Three Gorges Univ, Chongqing Engn Res Ctr Internet Things & Intellig, Chongqing 404100, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2018年 / 48卷 / 02期
基金：
美国国家科学基金会; 中国国家自然科学基金; 中国博士后科学基金;
关键词：
Transboundary pollution; Three Gorges Reservoir Area; Fitted finite volume method; Stochastic differential game; Hamilton-Jacobi-Bellman equation; FINITE-VOLUME METHOD; DIFFERENTIAL GAME; IMPULSIVE CONTROL; NEURAL-NETWORKS; SYNCHRONIZATION; SYSTEMS; STABILITY; CONSENSUS;
D O I：
10.1007/s11063-017-9769-1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
n this paper, we discuss a cooperative stochastic differential game for the transboundary industrial pollution problems of Three Gorges Reservoir Area. Base on the stochastic optimal control theory, we derive the Hamilton-Jacobi-Bellman equations for the cooperative games. Furthermore we solve the Hamilton-Jacobi-Bellman equations by using a fitted finite volume method. Finally, an empirical study base on the datum of Three Gorges Reservoir Area is given to demonstrate the efficiency and usefulness of the numerical method.
引用
收藏
页码：1089 / 1104
页数：16
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