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Author Li, Lichun ♦ Lemmon, Michael ♦ Wang, Xiaofeng
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Optimal Event Triggered Transmission ♦ Distributed State Estimation Problem ♦ Remote Observer ♦ Observed Process ♦ Mean Square Estimation Error ♦ Remote Observer Subject ♦ Prior Assumption ♦ Distributed Estimation Problem ♦ Initial Condition ♦ Event-triggered Approach ♦ Measurement Noise ♦ Dynamic Programming Approach ♦ Finite Time Interval ♦ Scalar Linear System
Abstract Abstract—This paper considers a distributed estimation problem in which a sensor sporadically transmits information to a remote observer. An event-triggered approach is used to trigger the transmission of information from the sensor to the remote observer. The event-trigger is chosen to minimize the mean square estimation error at the remote observer subject to a constraint on how frequently the information can be transmitted. This problem was recently studied by M. Rabi et al. [1] where the observed process was a scalar linear system over a finite time interval. This paper extends those earlier results by relaxing the prior assumption that the initial condition is zero-mean and that there is no measurement noise. This is done by adopting a dynamic programming approach to solve the problem. I.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article