Distributed model predictive control

Author

Camponogara, Eduardo ; Jia, Dong ; Krogh, Bruce H. ; Talukdar, Sarosh

Author_Institution

Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA

Volume

22

Issue

1

fYear

2002

fDate

2/1/2002 12:00:00 AM

Firstpage

44

Lastpage

52

Abstract

The article presents results for distributed model predictive control (MPC), focusing on i) the coordination of the optimization computations using iterative exchange of information and ii) the stability of the closed-loop system when information is exchanged only after each iteration. Current research is focusing on general methods for decomposing large-scale problems for distributed MPC and methods for guaranteeing stability when multiple agents are controlling systems subject to abrupt changes

Keywords

distributed control; large-scale systems; multi-agent systems; power system control; predictive control; stability; closed-loop system; distributed model predictive control; large-scale problems; multiple agents; optimization computations; power system control; stability; Centralized control; Control systems; Distributed computing; Distributed control; Open loop systems; Optimal control; Power system dynamics; Power system modeling; Predictive control; Predictive models;

fLanguage

English

Journal_Title

Control Systems, IEEE

Publisher

ieee

ISSN

1066-033X

Type

jour

DOI

10.1109/37.980246

Filename

980246