Networked State Estimation Over a Shared Communication Medium

We consider state estimation for multiple plants across a shared communication network. Each linear time-invariant plant transmits information through the common network according to either a time-triggered or an event-triggered rule. For an event-triggered algorithm with carrier sense multiple acce...

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Bibliographic Details
Published inIEEE transactions on automatic control Vol. 62; no. 4; pp. 1729 - 1741
Main Authors Meng Xia, Gupta, Vijay, Antsaklis, Panos J.
Format Journal Article
LanguageEnglish
Published IEEE 01.04.2017
Subjects
Communication networks
Discrete-time systems
event-triggered method
Markov processes
multiple-access
networked control systems
performance evaluation
Schedules
Sensors
State estimation
Time division multiple access
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Summary:We consider state estimation for multiple plants across a shared communication network. Each linear time-invariant plant transmits information through the common network according to either a time-triggered or an event-triggered rule. For an event-triggered algorithm with carrier sense multiple access (CSMA), each plant is assumed to access the network based on a priority mechanism. For a time-triggered algorithm combined with time division multiple access (TDMA), each plant uses the network according to a schedule that is decided a priori. Performance in terms of the communication frequency and the estimation error covariance is analytically characterized for event-triggered schemes. Using these characterizations, we show that event-triggered schemes may perform worse than time-triggered schemes when the effect of the communication network is explicitly considered.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2016.2593645