Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3122385
Abstract: Identification of dynamical systems from low-resolution quantized observations presents several challenges because of the limited amount of information available in the data and since proper algorithms have to be designed to handle the error due… read more here.
Keywords: learning dynamical; quantized observations; systems quantized; dynamical systems ... See more keywords
Fault Estimation for Mode-Dependent IT2 Fuzzy Systems With Quantized Output Signals
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.3018509
Abstract: The aim of this article is to analyze the problem of fault estimation for mode-dependent interval type-2 fuzzy systems with quantized output measurements. Different from the existing fault estimation methods requiring the observer matching condition,… read more here.
Keywords: fault estimation; systems quantized; mode dependent; estimation ... See more keywords