@incollection{eprints735,
            note = {Proceeding of the 49th IEEE Conference on Decision and Control, Hilton Atlanta Hotel, Atlanta, December 15-17, 2010},
       booktitle = {49th IEEE Conference on Decision and Control},
            year = {2010},
          author = {Davide Barcelli and Daniele Bernardini and Alberto Bemporad},
           title = {Synthesis of networked switching linear decentralized controllers},
           month = {December},
       publisher = {IEEE},
           pages = {2480 --2485},
        abstract = {This paper proposes an approach based on linear matrix inequalities for synthesizing a set of decentralized regulators for discrete-time linear systems subject to input and state constraints. Measurements and command signals are exchanged over a sensor/actuator network, in which some links are subject to packet dropout. The resulting closed-loop system is guaranteed to asymptotically reach the origin, even if every local actuator can exploit only a (possibly time-varying) subset of state measurements. A model of packet dropout based on a finite-state Markov chain is also considered to exploit available knowledge about the stochastic nature of the network. For such model, a set of decentralized switching linear controllers is synthesized that guarantees mean-square stability of the overall controlled process under packet dropout and soft input and state constraints.},
        keywords = {LMI;closed-loop system; discrete-time systems;finite-state Markov chain; linear matrix inequalities; mean-square stability; networked switching linear decentralized controller synthesis; packet dropout; sensor-actuator network; state constraints; state measurements; time-varying subset; Markov processes; closed loop systems; control system synthesis; decentralised control; linear matrix inequalities; linear systems; mean square error methods; networked control systems; stability; time-varying systems},
             url = {http://eprints.imtlucca.it/735/}
}