Pareto optimality in the infinite horizon cooperative difference game

被引:0
|
作者
Lin, Yaning [1 ]
机构
[1] Shandong Univ Technol, Sch Math & Stat, Zibo 255000, Peoples R China
来源
IET CONTROL THEORY AND APPLICATIONS | 2020年 / 14卷 / 03期
基金
中国国家自然科学基金;
关键词
Pareto optimisation; optimisation; Riccati equations; matrix algebra; minimisation; linear quadratic control; Pareto optimality; infinite horizon cooperative difference game; necessary conditions; sufficient conditions; Pareto solutions; Lagrange multiplier set; transversality condition; convexity condition; sufficient condition; Pareto optimal strategies; SUFFICIENT CONDITIONS; STOCHASTIC-SYSTEMS;
D O I
10.1049/iet-cta.2018.5790
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study is concerned with the necessary and sufficient conditions for the existence of Pareto solutions in the infinite horizon cooperative difference game. Based on the assumption about the Lagrange multipliers, utilising the equivalent characterisation of the Pareto optimality, the necessary conditions for the existence of the Pareto solutions are put forward. Furthermore, two conditions are presented to guarantee that zero does not belong to the Lagrange multiplier set. In addition, it is shown that the necessary conditions are also sufficient under certain convexity assumptions and a transversality condition. Next, the indefinite linear quadratic case is discussed. For a fixed initial state, under the condition of controllability, the necessary conditions are put forward. In addition, the necessary conditions, the convexity condition on the weighted sum cost functional as well as a transversality condition provide the sufficient conditions for a control to be Pareto optimal. For an arbitrary initial state, if the system is stabilisable, then the solvability of the related algebraic Riccati equation provides a sufficient condition under which all Pareto optimal strategies are obtained by the weighted sum minimisation method.
引用
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页码:386 / 395
页数:10
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