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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)

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Abstract

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: https://doi.org/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

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