Optimization techniques have played a fundamental role in designing automatic control
systems for the most part of the past half century. This dependence is ever more obvious in …

Irrigation canals are large-scale systems, consisting of many interacting components, and
spanning vast geographical areas. For safe and efficient operation of these canals …

" Our work is motivated by the application of the so-called Model-based Predictive Control
(MPC) in the context of irrigation networks. The main obstacles for applying classical …

Water delivery canals are large, spatially distributed structures whose objective is to bring in
a continuous way water from the sources to the points were it is used. Due to their large …

This paper presents a hierarchical distributed model predictive control approach applied to
irrigation canals planning from the point of view of risk mitigation. In the lower control level, a …

Irrigation canals transport water from water sources (such as large rivers and lakes) to water
users (such as farmers). Irrigation canals are typically very large in nature, covering vast …

This paper presents the application of a distributed model predictive controller (DMPC) to
the control of an accurate model of an actual irrigation canal in Spain. The canal is modeled …

This paper develops a non-iterative, distributed model predictive control (MPC) algorithm
suitable for managing water-level references for large-scale automated irrigation channels …

Irrigation canals are large-scale systems, covering vast geographical areas, and consisting
of many interconnected canal reaches that interact with control structures such as pumps …

Water networks are large-scale systems, consisting of many interacting components. They
are currently typically operated by local decentralized controllers which receive setpoints …