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3 papers · 1 filter
eess.SY2026
The Zonotopic Mixture Filter
Rodrigo A. González, Angel L. Cedeño, Vicenç Puig
State estimation is commonly posed in either a probabilistic or an unknown-but-bounded framework. The former requires a fully specified noise distribution, typically with unbounded…
eess.SY2025
Filtering in Multivariate Systems with Quantized Measurements using a Gaussian Mixture-Based Indicator Approximation
Angel L. Cedeño, Rodrigo A. González, Boris I. Godoy +1
This work addresses the problem of state estimation in multivariable dynamic systems with quantized outputs, a common scenario in applications involving low-resolution sensors or c…
eess.SY2025
Truncated Gaussian Noise Estimation in State-Space Models
Rodrigo A. González, Angel L. Cedeño, Koen Tiels +1
Within Bayesian state estimation, considerable effort has been devoted to incorporating constraints into state estimation for process optimization, state monitoring, fault detectio…