TY  - JOUR
ID  - discovery10186079
UR  - https://doi.org/10.1016/j.jprocont.2024.103161
N2  - For chain interconnected systems with state and input constraints, a partial output consensus (POC) optimization problem is studied when the set-points are infeasible. In this case, outputs with and without consensus requirements cannot converge to the set-points achieved from real-time optimization. For this case, a novel set-point optimization method is developed, which is called distributed partial output consensus optimization. Based on this method, the set-points for two-part outputs i.e. having a part that must achieve consensus and a part that has a set-point, can be recalculated simultaneously and their feasibility can be ensured by using a distributed projection operator. The convergence of the strategy is then analyzed. From the results of both simulation and experimental testing, the effectiveness of the proposed method is validated.
AV  - public
TI  - Distributed partial output consensus optimization for constrained chain interconnected systems
SN  - 0959-1524
Y1  - 2024/02/01/
KW  - Partial output consensus
KW  -  Chain interconnected systems
KW  -  Infeasible set-point
KW  -  Distributed optimization
JF  - Journal of Process Control
A1  - Liu, Z
A1  - Zhao, D
A1  - Zhang, S
A1  - Wang, X
A1  - Spurgeon, SK
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
VL  - 134
ER  -