@article{eprints726,
           pages = {36--44},
       publisher = {Elsevier },
           month = {January},
           title = {Energy-aware robust model predictive control based on noisy wireless sensors
},
          author = {Daniele Bernardini and Alberto Bemporad},
            year = {2012},
         journal = {Automatica},
          volume = {48},
          number = {1},
        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.},
             url = {http://eprints.imtlucca.it/726/}
}