Improvement on state estimation for discrete-time LTI systems with measurement loss

Measurement: Journal of the International Measurement Confederation

Volumn 43, Issue 10, 2010, Pages 1609-1622

  Khan, Naeem ^a   Fekri, Sajjad ^b   Gu, Dawei ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

^b CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

Autocorrelation; Kalman filter; Linear prediction theory; Loss of observation; State estimation

Indexed keywords

CLOSED-LOOP; DISCRETE-TIME; DISCRETE-TIME KALMAN FILTERS; ESTIMATION METHODOLOGIES; ESTIMATION PROCEDURES; INNOVATIVE DESIGN METHODOLOGY; KALMAN FILTER THEORY; LINEAR PREDICTION; LTI SYSTEMS; MASS SPRING DAMPER; MEASUREMENT CHANNELS; MEASUREMENT LOSS; OPTIMAL FILTER; SIMULATION RESULT;

AUTOCORRELATION; DESIGN; FORECASTING; KALMAN FILTERS; STATE ESTIMATION;

ESTIMATION;

EID: 77957840482     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2010.09.011     Document Type: Article

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