relation: http://eprints.imtlucca.it/726/
title: Energy-aware robust model predictive control based on noisy wireless sensors  
creator: Bernardini, Daniele
creator: Bemporad, Alberto
subject: QA75 Electronic computers. Computer science
description: Wireless sensor networks (WSNs) are becoming fundamental components of modern control systems due to their flexibility, ease of deployment and low cost. However, the energy-constrained nature of WSNs poses new issues in control design; in particular the discharge of batteries of sensor nodes, which is mainly due to radio communications, must be taken into account. In this paper we present a novel transmission strategy for communication between controller and sensors which is intended to minimize the data exchange over the wireless channel. Moreover, we propose an energy-aware control technique for constrained linear systems based on explicit model predictive control (MPC), providing closed-loop stability in the presence of disturbances. The presented control schemes are compared to traditional MPC techniques. The results show the effectiveness of the proposed energy-aware approach, which achieves a profitable trade-off between energy savings and closed-loop performance.
publisher: Elsevier 
date: 2012-01
type: Article
type: PeerReviewed
identifier:   Bernardini, Daniele and Bemporad, Alberto  Energy-aware robust model predictive control based on noisy wireless sensors.  Automatica, 48 (1).  pp. 36-44.  ISSN 0005-1098      (2012)  
relation: http://dx.doi.org/10.1016/j.automatica.2011.09.022
relation: 10.1016/j.automatica.2011.09.022