relation: http://eprints.imtlucca.it/436/
title: Energy-aware robust model predictive control with feedback from multiple noisy wireless sensors
creator: Bernardini, Daniele
creator: Bemporad, Alberto
subject: QA75 Electronic computers. Computer science
description: Flexibility, ease of deployment and of spatial reconfiguration, and low cost make wireless sensor networks (WSNs) fundamental component of modern networked control systems. However, due to the energy-constrained nature of WSNs, the transmission rate of the sensor nodes is a critical aspect to take into account in control design. Two are the main contributions of this paper. First, a general transmission strategy for communication between controller and sensors is proposed. Then, a scenario with a controller and a wireless node providing measures is investigated, and two energy-aware control schemes based on explicit model predictive control (MPC) are presented. We consider both nominal and robust control in the presence of disturbances, and convergence properties are given for the latter. The proposed control schemes are tested and compared to traditional MPC techniques. The results show the effectiveness of the proposed energy-aware approach, which achieves a profitable trade-off between energy consumption of wireless sensors and loss in system performance.
publisher: IEEE
date: 2008
type: Book Section
type: PeerReviewed
identifier:   Bernardini, Daniele and Bemporad, Alberto  Energy-aware robust model predictive control with feedback from multiple noisy wireless sensors.   In:  47th IEEE Conference on Decision and Control.   IEEE, pp. 4308-4313.  ISBN 978-1-4244-3123-6       (2008)  
relation: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4738736
relation: 10.1109/CDC.2008.4738736