Moving horizon estimator for nonlinear and non-Gaussian stochastic disturbances-Reference-Cited by-同舟云学术

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Moving horizon estimator for nonlinear and non-Gaussian stochastic disturbances

Published:2022-08 Issue: Volume:116 Page:234-254
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Varshney Devyani,Patwardhan Sachin C.,Bhushan Mani^ORCID,Biegler Lorenz T.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference37 articles.

1. Nonlinear Bayesian state estimation : A review of recent developments;Patwardhan;Control Eng. Pract.,2012

2. Particle filtering and moving horizon estimation;Rawlings;Comput. Chem. Eng.,2006

3. BayesIan estimation of unconstrained nonlinear dynamic systems;Chen;IFAC-PapersOnLine,2004

4. A moving horizon-based approach for least-squares estimation;Robertson;AIChE J.,1996

5. Development of robust extended kalman filter and moving window estimator for simultaneous state and parameter/disturbance estimation;Valluru;J. Process Control,2018

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1. Moving horizon estimation for localization of mobile robots with measurement outliers;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-05-20

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