Title :
Optimal Linear State Estimator With Multiple Packet Dropouts
Author :
Liang, Yan ; Chen, Tongwen ; Pan, Quan
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´´an, China
fDate :
6/1/2010 12:00:00 AM
Abstract :
This technical note is concerned with the optimal linear estimation problem in the presence of multiple packet dropouts in both sensor-to-controller and controller-to-actuator channels. The considered stochastic packet dropouts are independent and Bernoulli distributed. Based on a linear packet dropout model with stochastic parameters, a linear-minimum-variance (LMV) filter is proposed using the orthogonality principle. A sufficient condition for convergence of the steady-state LMV filter under a dc controller output is also given. Simulation results show the effectiveness of the proposed filter.
Keywords :
controllers; discrete time systems; linear systems; optimal systems; state estimation; stochastic systems; Bernoulli distributed; controller-to-actuator channels; convergence; dc controller output; linear packet dropout model; linear-minimum-variance filter; multiple packet dropouts; optimal linear state estimator; orthogonality principle; sensor-to-controller channels; steady-state LMV filter; stochastic packet dropouts; stochastic parameters; Communication system control; Convergence; Delay estimation; Filtering; Filters; Optimal control; State estimation; Steady-state; Stochastic systems; Sufficient conditions; Networked control systems; optimal filtering; packet dropout; stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2010.2044263
