The analysis of equipment degradation has traditionally developed in two main directions.
One approach, of great interest for control system design, has been to consider that …

This paper addresses a chance-constrained model predictive control (CC-MPC) strategy for
the management of drinking water networks (DWNs) based on a finite horizon stochastic …

Large-scale network systems involve a large number of states, which makes the design of
real-time controllers a challenging task. A distributed controller design allows to reduce …

Control of drinking water networks is an arduous task, given their size and the presence of
uncertainty in water demand. It is necessary to impose different constraints for ensuring a …

This paper presents a Model Predictive Control (MPC) framework taking into account the
usage of the actuators to preserve system reliability while maximizing control performance …

This paper proposes a health-aware model predictive control (MPC) for drinking water
networks that includes an additional goal to extend the components and system reliability …

This paper proposes a reliability-based economic model predictive control (MPC) strategy
for the management of generalised flow-based networks, integrating some ideas on network …

This study implements a Health-Aware Controller (HAC) in an experimental rig that emulates
an oil well system. The operational goal for the system is to maximize production, while …

In this paper the application of a novel robust predictive controller for tracking periodic
references to a section of Barcelona's drinking water network is presented. The system is …

This paper tackles the maintenance decision-making of gradually deteriorating control
systems. The main feature of these systems is their ability within a closed-loop to drive …