DocumentCode :
1319868
Title :
LQG Control for MIMO Systems Over Multiple Erasure Channels With Perfect Acknowledgment
Author :
Garone, E. ; Sinopoli, Bruno ; Goldsmith, Andrea ; Casavola, Alessandro
Author_Institution :
Service d´Autom. et d´Anal. des Syst., Univ. Libre de Bruxelles, Brussels, Belgium
Volume :
57
Issue :
2
fYear :
2012
Firstpage :
450
Lastpage :
456
Abstract :
This technical note concerns control applications over lossy data networks. Sensor data is transmitted to an estimation-control unit over a network and control commands are issued to subsystems over the same network. Sensor and control packets may be randomly lost according to a Bernoulli process. In this context, the discrete-time linear quadratic gaussian (LQG) optimal control problem is considered. In Schenato , a complete analysis was carried out for the case that sensor measurements and control inputs are delivered into a single packet to the estimator and to the actuators respectively. Here, a nontrivial generalization for MIMO systems is presented under the assumption that each sensor and each actuator exchange data with the control unit in an independent way by using their own data packet (no aggregation). In such a framework, it is shown that the separation principle still holds in the case where packet arrivals are acknowledged by the receiver. Moreover, the optimal LQG control is a linear function of the state that explicitly depends on the loss probabilities of the actuator channels. Such a dependence is not present in the single channel case considered in mean-square. In the infinite horizon case, stability conditions on the packet arrival probabilities are provided in terms of linear matrix inequalities (LMIs).
Keywords :
MIMO systems; discrete time systems; distributed parameter systems; linear matrix inequalities; linear quadratic Gaussian control; networked control systems; probability; stability; stochastic processes; telecommunication channels; Bernoulli process; LQG control; MIMO systems; actuator channels; actuator exchange data; control commands; control packets; discrete-time linear quadratic Gaussian optimal control problem; estimation-control unit; linear function; linear matrix inequalities; loss probabilities; lossy data networks; multiple erasure channels; network commands; packet arrival probabilities; perfect acknowledgment; sensor data; sensor packets; separation principle; stability conditions; Actuators; Channel estimation; Convergence; Equations; Mathematical model; Optimal control; Process control; Cyber-physical systems (CPS); linear quadratic gaussian (LQG); networked control systems (NCS;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2011.2167789
Filename :
6018252
Link To Document :
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