eprintid: 726 rev_number: 10 eprint_status: archive userid: 7 dir: disk0/00/00/07/26 datestamp: 2011-07-27 12:52:01 lastmod: 2012-01-09 13:41:47 status_changed: 2011-07-27 12:52:01 type: article metadata_visibility: show contact_email: alberto.bemporad@imtlucca.it item_issues_count: 0 creators_name: Bernardini, Daniele creators_name: Bemporad, Alberto creators_id: daniele.bernardini@imtlucca.it creators_id: alberto.bemporad@imtlucca.it title: Energy-aware robust model predictive control based on noisy wireless sensors ispublished: pub subjects: QA75 divisions: CSA full_text_status: none keywords: Model predictive control; Energy-aware control; Wireless sensors 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. date: 2012-01 date_type: submitted publication: Automatica volume: 48 number: 1 publisher: Elsevier pagerange: 36-44 id_number: 10.1016/j.automatica.2011.09.022 refereed: TRUE issn: 0005-1098 official_url: http://dx.doi.org/10.1016/j.automatica.2011.09.022 citation: 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)