Perspective Chapter: Approximate Kalman Filter Using M-Robust Estimate Dynamic Stochastic Approximation with Parallel Adaptation of Unknown Noise Statistics by Huber’s M-Robust Parameter Estimator

<p id="p1">The problem of designing a feasible adaptive M-robustified Kalman filter in a case of a thick-tailed Gaussian environment, characterized by impulsive noise-inducing observation and innovation outliers, and/or errors in mathematical model-inducing structural outliers, has been considered....

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Autores principales:	Kovačević, Branko, Banjac, Zoran, Unkašević, Tomislav
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2024
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/1173307
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