Journal
INFORMATION SCIENCES
Volume 170, Issue 2-4, Pages 329-349Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2004.03.008
Keywords
model predictive control (MPC); distributed control system; Nash optimality; multi-agent; Shell benchmark control problem
Categories
Ask authors/readers for more resources
This paper presents an efficient distributed model predictive control scheme based on Nash optimality, in which the on-line optimization of the whole system is decomposed into that of several small co-operative agents in distributed structures, thus it can significantly reduce computational complexity in model predictive control of large-scale systems. The relevant nominal stability and the performance on single-step horizon under the communication failure are investigated. The Shell heavy oil fractionator benchmark control problem is illustrated to verify the effectiveness of the proposed control algorithm. (C) 2004 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available