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In this paper, two tuning strategies for a multi-objective predictive controller applied
to a drinking water network (DWN) are proposed. A control-oriented DWN model is brie
reviewed, together with its management objectives. A comparison of methods to explore the
Pareto front of the multi-objective optimisation (MOO) problem behind the predictive controller
is presented with an e ective normalisation method for the model predictive control (MPC)
objectives. The proposed tuning strategies, applied to a real-life case study, are compared.
Finally, simulation results show that the proposed MPC tuning strategies outperform the
CitationToro, R. [et al.]. Tuning of predictive controllers for drinking water networked systems. A: IFAC World Congress. "18th IFAC World Congress". Milano: 2011, p. 1-6.
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