Add to ORKGIn this work, a novel distributed MPC algorithm, denoted D-SIORHC, is applied to upstream local control of a pilot water delivery canal. The D-SIORHC algorithm is based on MPC control agents that incorporate stability constraints and communicate only with their adjacent neighbors in order to achieve a coordinated action. Experimental results that show the effect of the parameters configuring the local controllers are presented
This thesis is devoted to design a multi-layer MPC controller applied to the complex water network t...
The vast majority of control applications are based on non-interacting decentralized control designs...
The performance achieved with both adaptive and non-adaptive Model Predictive Control (MPC) when app...
This article addresses the problem of controlling pool levels in a water delivery canal using a nove...
This work addresses the problem of tuning the parameters of a distributed model predictive control a...
This paper develops a non-iterative, distributed model predictive control (MPC) algorithm suitable f...
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...
This paper presents the first experimental results of a model predictive controller designed to cont...
This work addresses the problem of the development of a distributed LQG controller for a water deliv...
Water networks are large-scale systems, consisting of many interacting components. They are currentl...
This paper applies a model predictive controller (MPC) to an automatic water canal with sensors and ...
A case study on the use of a predictive adaptive algorithm to control pool level in a pilot water di...
In this report, MPC strategies have been designed and tested for the global centralized and decentra...
Abstract—Water networks are large-scale systems, consisting of many interacting components. They are...
This thesis is devoted to design a multi-layer MPC controller applied to the complex water network t...
The vast majority of control applications are based on non-interacting decentralized control designs...
The performance achieved with both adaptive and non-adaptive Model Predictive Control (MPC) when app...
This article addresses the problem of controlling pool levels in a water delivery canal using a nove...
This work addresses the problem of tuning the parameters of a distributed model predictive control a...
This paper develops a non-iterative, distributed model predictive control (MPC) algorithm suitable f...
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...
This paper presents the first experimental results of a model predictive controller designed to cont...
This work addresses the problem of the development of a distributed LQG controller for a water deliv...
Water networks are large-scale systems, consisting of many interacting components. They are currentl...
This paper applies a model predictive controller (MPC) to an automatic water canal with sensors and ...
A case study on the use of a predictive adaptive algorithm to control pool level in a pilot water di...
In this report, MPC strategies have been designed and tested for the global centralized and decentra...
Abstract—Water networks are large-scale systems, consisting of many interacting components. They are...
This thesis is devoted to design a multi-layer MPC controller applied to the complex water network t...
The vast majority of control applications are based on non-interacting decentralized control designs...
The performance achieved with both adaptive and non-adaptive Model Predictive Control (MPC) when app...