A Cooperative Distributed Model Predictive Control Approach to Supply Chain Management

2020 ◽  
Vol 50 (12) ◽  
pp. 4894-4904 ◽  
Author(s):  
Dongfei Fu ◽  
Hai-Tao Zhang ◽  
Abhishek Dutta ◽  
Guanrong Chen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Distributed Model ◽  
Chain Management ◽  
Control Approach ◽  
Distributed Model Predictive Control

scholarly journals A Centralized Model Predictive Control Strategy for Dynamic Supply Chain Management

2013 ◽  
Vol 46 (9) ◽  
pp. 1608-1613 ◽  
Author(s):  
Dongfei Fu ◽  
Clara Mihaela Ionescu ◽  
El-Houssaine Aghezzaf ◽  
Robin De Keyser
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Chain Management ◽  
Centralized Model

scholarly journals Distributed Model Predictive Control over Multiple Groups of Vehicles in Highway Intelligent Space for Large Scale System

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Tang Xiaofeng ◽  
Gao Feng ◽  
Xu Guoyan ◽  
Ding Nenggen ◽  
Cai Yao ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Large Scale ◽  
Distributed Model ◽  
Large Scale System ◽  
Control Approach ◽  
Distributed Model Predictive Control ◽  
Intelligent Space ◽  
Multiple Groups ◽  
Information Framework

The paper presents the three time warning distances for solving the large scale system of multiple groups of vehicles safety driving characteristics towards highway tunnel environment based on distributed model prediction control approach. Generally speaking, the system includes two parts. First, multiple vehicles are divided into multiple groups. Meanwhile, the distributed model predictive control approach is proposed to calculate the information framework of each group. Each group of optimization performance considers the local optimization and the neighboring subgroup of optimization characteristics, which could ensure the global optimization performance. Second, the three time warning distances are studied based on the basic principles used for highway intelligent space (HIS) and the information framework concept is proposed according to the multiple groups of vehicles. The math model is built to avoid the chain avoidance of vehicles. The results demonstrate that the proposed highway intelligent space method could effectively ensure driving safety of multiple groups of vehicles under the environment of fog, rain, or snow.

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