Stochastic MPC with applications to process control

This paper presents a model predictive control formulation for Networked Control Systems subject to independent and identically distributed delays and packet dropouts. The design takes into account the presence of a communication network in the control loop, resorting to a buffer at the actuator sid...

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Bibliographic Details
Published inInternational journal of control Vol. 88; no. 4; pp. 792 - 800
Main Authors Jurado, I., Millán, P., Quevedo, D., Rubio, F.R.
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 03.04.2015
Taylor & Francis Ltd
Subjects
Actuators
Communication networks
Control systems
Delay
Mathematical models
networked control systems
packet dropouts
packetised model predictive control
Predictive control
Process control
Process controls
Stores
Tanks
time-delays
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Summary:This paper presents a model predictive control formulation for Networked Control Systems subject to independent and identically distributed delays and packet dropouts. The design takes into account the presence of a communication network in the control loop, resorting to a buffer at the actuator side to store and consistently apply delayed control sequences when fresh control inputs are not available. The proposed approach uses a statistical description of transmissions to optimise the expected future control performance conditioned upon the current system state, previously calculated control packets and transmission acknowledgements. Experimental studies using a quadruple tank process illustrate the applicability of the method to process control.
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ISSN:0020-7179
1366-5820
DOI:10.1080/00207179.2014.975845