Abstract Model Predictive Control (MPC) has recently gained increasing interest in the
adaptive management of water resources systems due to its capability of incorporating …

Water is the most important element of food production, and the easiest and most cost-
efficient way to transport it is through open-channel irrigation systems (OCIS). These types of …

The management of the urban water cycle (UWC) is a subject of increasing interest because
of its social, economic, and environmental impact. The most important issues include the …

This paper addresses a non-linear economic model predictive control (EMPC) strategy for
water distribution networks (WDNs). A WDN could be considered as a non-linear system …

Fifty-seven per cent of all water supply systems in the Netherlands are controlled by model
predictive flow control; the other 43% are controlled by conventional level-based flow …

In this paper, a methodology for the optimal management of a combined irrigation and water
supply system based on model predictive control (MPC) is proposed. A control-oriented …

This paper presents a constrained Model Predictive Control (MPC) strategy enriched with
soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning …

Wastewater treatment facilities collecting wastewater from longstanding sewer networks of
five municipalities in the Ave River basin (located in NW Portugal) are especially vulnerable …

This paper describes the application of model-based predictive control (MPC) techniques to
the supervisory flow management in large-scale drinking water networks including a …

The operation of large-scale water distribution networks (WDNs) is a complex control task
due to the size of the problem, the need to consider key operational, quality and safety …