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Uncertain Optimal Control Approach for CO 2 Mitigation Problem
Author(s) -
Sheng Linxue,
Zhu Yuanguo,
Yan Hongyan,
Wang Kai
Publication year - 2017
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1524
Subject(s) - dynamic programming , mathematical optimization , optimal control , control (management) , sequence (biology) , computer science , value (mathematics) , control theory (sociology) , mathematics , artificial intelligence , machine learning , biology , genetics
The new types of uncertain control approaches based on the critical value criterion and chance criterion are respectively introduced to deal with multi‐stage dynamic optimization problems in the presence of target constraints. Integrating the method of dynamic programming with the viability approach, the solving procedure of the optimal control sequence is provided. As a case study, a cost‐effectiveness problem of mitigation policies for uncertain carbon dioxide emissions is analyzed and numerically computed to illustrate the proposed approaches.