Input Trajectory Design for the Enhancement of State Estimation through a Set-Theoretic Approach to Observability

This paper presents a method for the input trajectory design of dynamical systems with the aim of enhancing state estimation accuracy. The method is based on the optimization of a modified version of an index derived from a set-theoretic approach to observability. The presented technique is applied...

Full description

Saved in:
Bibliographic Details
Published in:Industrial & engineering chemistry research 2020-07, Vol.59 (30), p.13631-13641
Main Authors: López, Esteban, Hahn, Juergen, Gómez, Lina M, Alvarez, Hernán
Format: Article
Language:English
Subjects:
Process Systems Engineering
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a method for the input trajectory design of dynamical systems with the aim of enhancing state estimation accuracy. The method is based on the optimization of a modified version of an index derived from a set-theoretic approach to observability. The presented technique is applied to a model representing a fed-batch bioreactor and the results are compared to a traditional method. Applying the input trajectory obtained from the devised design method results in a significantly better state estimation performance than the one found when applying the control actions obtained by the traditional design approach.
ISSN:0888-5885
1520-5045
DOI:10.1021/acs.iecr.0c01386