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• W3082736468 abstract "Real-time water quality control (WQC) in water distribution networks (WDN), the problem of regulating disinfectant levels, is challenging due to lack of (i) a proper control-oriented modeling considering complicated components (junctions, reservoirs, tanks, pipes, pumps, and valves) for water quality modeling in WDN and (ii) a corresponding scalable control algorithm that performs real-time water quality regulation. In this paper, we solve the WQC problem by (a) proposing a novel state-space representation of the WQC problem that provides an explicit relationship between inputs (chlorine dosage at booster stations) and states/outputs (chlorine concentrations in the entire network) and (b) designing a highly scalable model predictive control (MPC) algorithm that showcases fast response time and resilience against some sources of uncertainty." @default.
• W3082736468 created "2020-09-08" @default.
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• W3082736468 date "2021-05-01" @default.
• W3082736468 modified "2023-10-12" @default.
• W3082736468 title "How Effective is Model Predictive Control in Real‐Time Water Quality Regulation? State‐Space Modeling and Scalable Control" @default.
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• W3082736468 doi "https://doi.org/10.1029/2020wr027771" @default.
• W3082736468 hasPublicationYear "2021" @default.
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