TY  - CHAP
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5717867&isnumber=5716927
N1  - Proceeding of the 49th IEEE Conference on Decision and Control, Hilton Atlanta Hotel, Atlanta, December 15-17, 2010
KW  - 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
N2  - 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.
AV  - none
ID  - eprints735
TI  - Synthesis of networked switching linear decentralized controllers
Y1  - 2010/12//
SP  - 2480 
A1  - Barcelli, Davide
A1  - Bernardini, Daniele
A1  - Bemporad, Alberto
T2  - 49th IEEE Conference on Decision and Control
SN  - 978-1-4244-7745-6 
PB  - IEEE
EP  - 2485
ER  -