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A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations

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Název: A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations
Autoři: Faulwasser, Timm, Bonvin, Dominique
Zdroj: Computers & chemical engineering. 115:474-486
Informace o vydavateli: 2018.
Rok vydání: 2018
Témata: Gas compressors, Modifier adaptation, Model uncertainty, Real-time optimization, Interconnected systems, Proximal-gradient algorithm
Popis: Recently, 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.
Druh dokumentu: Article
Jazyk: English
ISSN: 0098-1354
Přístupové číslo: edsair.dris...01170..6b27e0ce2e870e170904ed1c884c389e
Databáze: OpenAIRE
Popis
Abstrakt:Recently, 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.
ISSN:00981354