Logo eprints

Energy-aware robust model predictive control based on noisy wireless sensors

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)

Full text not available from this repository.


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.

Item Type: Article
Identification Number: 10.1016/j.automatica.2011.09.022
Uncontrolled Keywords: Model predictive control; Energy-aware control; Wireless sensors
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Professor Alberto Bemporad
Date Deposited: 27 Jul 2011 12:52
Last Modified: 09 Jan 2012 13:41
URI: http://eprints.imtlucca.it/id/eprint/726

Actions (login required)

Edit Item Edit Item