Multi-Objective Robust Model Predictive Control using Game Theory

被引：0
|
作者：
Hajiloo, Amir [1 ]
Xie, Wenfang [1 ]
Ren, Xuemei [2 ]
机构：
[1] Concordia Univ, Dept Mech & Ind Engn, Montreal, PQ H3G 1M8, Canada
[2] Beijing Inst Technol, Sch Automat, Beijing, Peoples R China
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION | 2015年
关键词：
LPV model; MPC; Nash bargaining; Pareto front; SYSTEMS; STABILITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of multi-objective model predictive controller design is solved in this paper. The linear parameter-varying parameter system is considered. The proposed method is based on the solving multi-objective optimization problem using linear matrix inequality approach at each sampling time. The trade-off point among the optimization results is obtained by Nash bargaining solution at each sampling time. The simulation results reveal the effectiveness of the proposed method.
引用
收藏
页码：2026 / 2030
页数：5
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