In most chemical processes only some measurements are available online while other
measurements are available infrequently and often with long delays. Multirate state …

In most chemical processes only some measurements are available online while other
measurements are available infrequently and often with long delays. Multirate state …

A moving horizon estimation (MHE) approach to simultaneously estimate states and
parameters is revisited. Two different noise models are considered, one with measurement …

Measurements in the process industry can arrive with fast or slow sampling rates. Fast
measurements, such as flowrate and temperature, are sampled frequently and are obtained …

Moving horizon estimation (MHE) represents a desirable approach in processes monitoring
and/or control. MHE allows to take into account model uncertainties and unknown …

State estimation is a crucial part of the monitoring and/or control of all chemical processes.
Among various approaches for this problem, moving horizon estimation (MHE) has the …

State and parameter estimation is essential for process monitoring and control. Observability
plays an important role in both state and parameter estimation. In simultaneous state and …

This paper investigates the moving horizon estimation (MHE) problem for process systems
with multi-rate sampling and bounded noises, where the sampling rates of the sensors are …

A moving horizon state estimation algorithm (MHE) is applied to the nonlinear and unstable
Tennessee Eastman process, a well-known benchmark problem in the chemical process …

This study focuses on the development and application of a hybrid moving horizon estimator
(HMHE) to achieve simultaneous estimation of both continuum and noncontinuum states in …