Observers are computational algorithms designed to estimate unmeasured state variables
due to the lack of appropriate estimating devices or to replace high-priced sensors in a plant …

This paper presents a new approach for sensor location for state and parameter estimation
for stable nonlinear systems. The unique feature of this technique is that sensor locations for …

This paper presents a new technique for placing sensors on processes described by stable
nonlinear dynamic systems. The methodology can compute locations for individual sensors …

This paper presents an approach for determining the optimal placement of multiple sensors
for processes described by a class of nonlinear dynamic systems. This approach is based …

An estimation approach to jointly design the estimation model, data assimilation structure,
and algorithm in the light of particular estimation objectives is developed within a …

In this work, a proportional/integral (PI) material-balance scheme to control continuous free-
radical solution homopolymer (possibly open-loop unstable) reactors with level …

The success of state estimation in a high dimensional system like multicomponent reactive
distillation depends on the rigorous evaluation of the observability and appropriate selection …

The optimal sensor placement problem involves determining the most effective locations to
place a network of sensors across an array of measurable signals, in accordance with a set …

A novel sensor network design (SND) algorithm is developed for maximizing process
efficiency while minimizing sensor network cost for a nonlinear dynamic process with an …

The problem of modeling a class of two-phase moving-bed tubular gasification reactors by
means of a lumped (finite-dimensional) representation is addressed in this paper. A model is …