Abstract—Water networks are large-scale systems, consisting of many interacting components. They are currently typically operated by local decentralized controllers which receive set-points from human operators. We discuss how communi-cation among the local controllers can be included and in particular propose the use of distributed model predictive control for enabling the local controllers to determine set-points autonomously using communication and coordination. We consider the control of a particular class of water networks, viz. irrigation canals. A simulation study on a 7-reach irrigation canal illustrates the potential of the proposed approach. I
This paper applies a model predictive controller (MPC) to an automatic water canal with sensors and ...
A key issue in distributed MPC control of Large Scale Systems (LSS) is how shared variables among th...
Saving water is an economic and ecological need. One way to save water is to reduce losses in irriga...
Water networks are large-scale systems, consisting of many interacting components. They are currentl...
Irrigation canals are large-scale systems, covering vast geographical areas, and consisting of many ...
Irrigation canals transport water from water sources (such as large rivers and lakes) to water users...
International audienceThis paper presents the application of the multiagent paradigm to a distribute...
Abstract-Urban water supply networks are large-scale systems that transport potable water over vast ...
This paper develops a non-iterative, distributed model predictive control (MPC) algorithm suitable f...
This paper proposes a distributed model predictive control approach designed to work in a cooperativ...
This paper presents the formulation of a multivariable controller for centralized control of canals ...
Optimization techniques have played a fundamental role in designing automatic control systems for th...
This paper presents the design of a predictive controller for decentralized control of delivery cana...
53rd IEEE Conference on Decision and Control. 15-17 Dec. 2014 Los Angeles, CA, USAIn this work, we ...
This work addresses the problem of tuning the parameters of a distributed model predictive control a...
This paper applies a model predictive controller (MPC) to an automatic water canal with sensors and ...
A key issue in distributed MPC control of Large Scale Systems (LSS) is how shared variables among th...
Saving water is an economic and ecological need. One way to save water is to reduce losses in irriga...
Water networks are large-scale systems, consisting of many interacting components. They are currentl...
Irrigation canals are large-scale systems, covering vast geographical areas, and consisting of many ...
Irrigation canals transport water from water sources (such as large rivers and lakes) to water users...
International audienceThis paper presents the application of the multiagent paradigm to a distribute...
Abstract-Urban water supply networks are large-scale systems that transport potable water over vast ...
This paper develops a non-iterative, distributed model predictive control (MPC) algorithm suitable f...
This paper proposes a distributed model predictive control approach designed to work in a cooperativ...
This paper presents the formulation of a multivariable controller for centralized control of canals ...
Optimization techniques have played a fundamental role in designing automatic control systems for th...
This paper presents the design of a predictive controller for decentralized control of delivery cana...
53rd IEEE Conference on Decision and Control. 15-17 Dec. 2014 Los Angeles, CA, USAIn this work, we ...
This work addresses the problem of tuning the parameters of a distributed model predictive control a...
This paper applies a model predictive controller (MPC) to an automatic water canal with sensors and ...
A key issue in distributed MPC control of Large Scale Systems (LSS) is how shared variables among th...
Saving water is an economic and ecological need. One way to save water is to reduce losses in irriga...