An interval estimator for chlorine monitoring in drinking water distribution systems under uncertain system dynamics, inputs and chlorine concentration measurement errors
DOI10.1515/amcs-2017-0022zbMath1367.93095OpenAlexW2734747317MaRDI QIDQ2011900
Rafał Łangowski, Mietek A. Brdyś
Publication date: 27 July 2017
Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/amcs-2017-0022
Estimation and detection in stochastic control theory (93E10) Observability (93B07) Control/observation systems governed by ordinary differential equations (93C15) Large-scale systems (93A15)
Related Items (3)
Cites Work
- Design of interval observers for uncertain dynamical systems
- Recursive set membership estimation for output-error fractional models with unknown-but-bounded errors
- Set-membership identifiability of nonlinear models and related parameter estimation properties
- Interval observers for biochemical processes with uncertain kinetics and inputs
- An interval estimator for chlorine monitoring in drinking water distribution systems under uncertain system dynamics, inputs and chlorine concentration measurement errors
- Monitoring of Chlorine Concentration in Drinking Water Distribution Systems Using an Interval Estimator
- A biochemical multi-species quality model of a drinking water distribution system for simulation and design
- Data-driven models for fault detection using kernel PCA: A water distribution system case study
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