Distributed model predictive control for a multi-reach open-channel system

Zeng, Ningjun; Cen, Lihui; Li, Dewei

doi:10.1109/ascc.2017.8287293

Cited by 2 publications

(1 citation statement)

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“…Additionally, for model-based control algorithms like MPC, multiple simulations are often needed for each optimization iteration, which can further lead to significant difficulties for the optimization solver. To simplify the model for real-time control applications, techniques such as model deduction and linearization can be applied to the SVE model (Xu et al, 2011(Xu et al, , 2012Cen et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Subspace System Identification of a Pilot Tunnel System of a Combined Sewage System

Wang¹,

Haugen²

2023

MIC

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This paper presents an investigation into the potential use of subspace identification methods (SIMs) for model-based control of urban drainage systems (UDS) that play a crucial role in collecting and transporting stormwater runoff and domestic sewage to Water Resource Recovery Facilities (WRRF) in urban areas. To evaluate the feasibility of level control using model-based algorithms in UDS, a pilot tunnel system was constructed. Three linear state-space models were identified using the system identification toolbox in MATLAB and an open-source module in Python named SIPPY. The study finds that the identified models can predict the system output with acceptable accuracy thus for model-based control of the system. The findings of this study aim to contribute to the development of more efficient and effective control strategies for UDS.

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Section: Introductionmentioning

confidence: 99%