TY  - CHAP
ID  - eprints618
EP  - 3582
T2  - American Control Conference
A1  - Alessio, Alessandro
A1  - Bemporad, Alberto
PB  - IEEE
SN  -  978-1-4244-2078-0 
N2  - We propose a decentralized model predictive control (MPC) design approach for possibly large-scale processes whose structure may not be dynamically decoupled. The decoupling assumption only appears in the prediction models used by the different MPC control agents. In [1] we presented a sufficient criterion for analyzing a posteriori the asymptotic stability of the process model in closed-loop with the set of decentralized MPC controllers. The communication model among neighboring MPC controllers was supposed faultless, so that each MPC could successfully receive the information about the states of its corresponding submodel. Here we present a sufficient condition for ensuring closed-loop stability of the overall closed-loop system when a certain number of packets containing state measurements may be lost.
SP  - 3577
AV  - none
TI  - Stability conditions for decentralized model predictive control under packet drop communication
CY  - 11th - 13th June 2008
Y1  - 2008/06//
KW  - asymptotic stability; closed-loop stability; closed-loop system; decentralized model predictive control; large-scale processes; packet drop communication; stability conditions; asymptotic stability; closed loop systems; decentralised control; large-scale systems; predictive control
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587048&isnumber=4586444
ER  -