Title :
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
fDate :
2/1/2002 12:00:00 AM
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;
Journal_Title :
Control Systems, IEEE
