@article{discovery10186079,
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
            year = {2024},
          volume = {134},
           title = {Distributed partial output consensus optimization for constrained chain interconnected systems},
           month = {February},
         journal = {Journal of Process Control},
            issn = {0959-1524},
        keywords = {Partial output consensus, Chain interconnected systems, Infeasible set-point, Distributed optimization},
          author = {Liu, Z and Zhao, D and Zhang, S and Wang, X and Spurgeon, SK},
        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.},
             url = {https://doi.org/10.1016/j.jprocont.2024.103161}
}