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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…
eess.SY2025
Exploiting Structure in MIMO Scaled Graph Analysis
Timo de Groot, Tom Oomen, Sebastiaan van den Eijnden
Scaled graphs offer a graphical tool for analysis of nonlinear feedback systems. Although recently substantial progress has been made in scaled graph analysis, at present their use…