Distributed aperiodic model predictive control for multi-agent systems

被引：67

作者：

Hashimoto, Kazumune ^{[1
]}

Adachi, Shuichi ^{[2
]}

Dimarogonas, Dimos V. ^{[3
]}

机构：

[1] KTH Inst Technol, Dept Elect Engn, Automat Control Lab, S-10044 Stockholm, Sweden

[2] Keio Univ, Dept Appl Phys & Physicoinformat, Yokohama, Kanagawa 223, Japan

[3] KTH Royal Inst Technol, Sch Elect Engn, ACCESS Linnaeus Ctr, S-10044 Stockholm, Sweden

来源：

IET CONTROL THEORY AND APPLICATIONS | 2015年 / 9卷 / 01期

关键词：

predictive control; multi-agent systems; optimal control; distributed aperiodic model predictive control; multiagent systems; aperiodic formulation; distributed agents; additive bounded disturbances; optimal control problem; energy consumption; communication resources; RECEDING HORIZON CONTROL; CONSTRAINED NONLINEAR-SYSTEMS;

D O I：

10.1049/iet-cta.2014.0368

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this study, the authors propose an aperiodic formulation of model predictive control for distributed agents with additive bounded disturbances. In the proposed method, each agent solves an optimal control problem only when certain control performances cannot be guaranteed according to certain triggering rules. This could lead to the reduction of energy consumption and the alleviation of over usage of communication resources. The triggering rules are derived for both event-triggered and self-triggered formulation. The authors proposed method is also verified through a simulation example.

引用

页码：10 / 20

页数：11

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