Nonlinear state estimation with delayed measurements using data fusion technique and cubature Kalman filter for chemical processes
Sign Up to like & getrecommendations! Published in 2019 at "Chemical Engineering Research and Design"
DOI: 10.1016/j.cherd.2018.11.020
Abstract: Abstract Nonlinear state estimation with delayed measurements has been considered in many industrial applications. However, classical methods cannot use these slow rates, irregular, delayed measurements, even though the delayed measurements are usually more accurate. Therefore,… read more here.
Keywords: nonlinear state; data fusion; state estimation; delayed measurements ... See more keywords
Incorporating delayed measurements in an improved high-degree cubature Kalman filter for the nonlinear state estimation of chemical processes.
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.11.004
Abstract: The on-line estimation of process quality variables has a large impact on the advanced monitoring and control techniques of chemical processes. The present study offers an improved high-degree cubature Kalman filter (HCKF) to solve the… read more here.
Keywords: state; estimation; delayed measurements; state estimation ... See more keywords
Cascade high-gain observers for a class of nonlinear systems with large delayed measurements
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2018.1506064
Abstract: ABSTRACT This paper proposes a cascade high-gain observer for a class of triangular nonlinear systems with large and diverse time delays at states and output equation. Compared with some existing results in the literature, the… read more here.
Keywords: high gain; systems large; large delayed; delayed measurements ... See more keywords
A Modified Bayesian Filter for Randomly Delayed Measurements
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DOI: 10.1109/tac.2016.2531418
Abstract: The traditional Bayesian approximation framework for filtering in discrete time systems assumes that the measurement is available at every time instant. But in practice, the measurements could be randomly delayed. In the literature, the problem… read more here.
Keywords: randomly delayed; filter randomly; bayesian filter; time ... See more keywords