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

页码：2026 / 2030

页数：5

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