Event-Based State Estimation Under the Presence of Multiplicative Measurement Noise
2019
An event-based state estimation problem for a discrete-time system when the measurements are corrupted with multiplicative noise is considered in this letter. A general event-based sampling is employed to obtain the measurements, where the event-based strategy is implicitly utilized to obtain state estimate and covariance. To deal with multiplicative noise, maximum a posteriori (MAP) estimator is used in conjunction with the Newton-Raphson iterative method. The proposed results are depicted using a numerical example.
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