Milosavljevic, PredragPredragMilosavljevicSchneider, RenéRenéSchneiderCortinovis, AndreaAndreaCortinovisFaulwasser, TimmTimmFaulwasserBonvin, DominiqueDominiqueBonvin2024-03-062024-03-062018-07-12Computers and Chemical Engineering 115: 474-486 (2018)https://hdl.handle.net/11420/46279Recently, a feasible-side globally convergent modifier-adaptation scheme has been proposed for the real-time optimization of uncertain systems. We show that this scheme is related to proximal-gradient algorithms in numerical optimization and we exploit this relationship to analyze its convergence in the case of inexact gradient information. We also make use of this relationship to propose a novel distributed modifier-adaptation algorithm for interconnected systems that uses a coordinator and knowledge of the interconnection topology. We then prove its feasible-side convergence to plant optimality. In addition, our distributed algorithm ensures confidentiality of local models and data. We finally demonstrate the applicability and effectiveness of this algorithm on a load-sharing optimization case study for serially connected gas compressors.en0098-13542018474486ElsevierGas compressorsInterconnected systemsModel uncertaintyModifier adaptationProximal-gradient algorithmReal-time optimizationComputer SciencesMathematicsJournal Article10.1016/j.compchemeng.2018.05.006Other