Liu, Z; Zhao, D; Zhang, S; Wang, X; Spurgeon, SK; (2024) Distributed partial output consensus optimization for constrained chain interconnected systems. Journal of Process Control , 134 , Article 103161. 10.1016/j.jprocont.2024.103161. (In press).

Text Zidong_JPC.pdf - Accepted Version Access restricted to UCL open access staff until 9 January 2025. Download (1MB)

Abstract

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.

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