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20182022
most citedHow Effective is Model Predictive Control in Real-Time Water Quality Regulation? State-Space Modeling and Scalable Control

30 citations · 81 across the 15 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

eess.SY2020

Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics

Ahmad F. Taha, Shen Wang, Yi Guo +4

Real-time water quality (WQ) sensors in water distribution networks (WDN) have the potential to enable network-wide observability of water quality indicators, contamination event d…

math.OC2020★ 30 cited

How Effective is Model Predictive Control in Real-Time Water Quality Regulation? State-Space Modeling and Scalable Control

Shen Wang, Ahmad F. Taha, Ahmed A. Abokifa

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-orient…

math.OC2020

Optimal Pump Control for Water Distribution Networks via Data-based Distributional Robustness

Yi Guo, Shen Wang, Ahmad Taha +1

In this paper, we propose a data-based methodology to solve a multi-period stochastic optimal water flow (OWF) problem for water distribution networks (WDNs). The framework explici…

math.OC2020

Computing Lipschitz Constants for Hydraulic Models of Water Distribution Networks

Ramsey Shadfan, Shen Wang, Sebastian A. Nugroho +2

Drinking water distribution networks (WDN) are large-scale, dynamic systems spanning large geographic areas. Water networks include various components such as junctions, reservoirs…

math.OC2020

New Insights on One-Sided Lipschitz and Quadratically Inner-Bounded Nonlinear Dynamic Systems

Sebastian A. Nugroho, Vu Hoang, Maria Radosz +2

Nonlinear dynamic systems can be classified into various classes depending on the modeled nonlinearity. These classes include Lipschitz, bounded Jacobian, one-sided Lipschitz (OSL)…

math.OC2020★ 1 cited

Probabilistic State Estimation in Water Networks

Shen Wang, Ahmad F. Taha, Nikolaos Gatsis +2

State estimation in water distribution networks (WDN), the problem of estimating all unknown network heads and flows given select measurements, is challenging due to the nonconvexi…