Robust adaptive algorithm for nonlinear systems with unknown measurement noise and uncertain parameters by variational Bayesian inference-Reference-Cited by-同舟云学术

Robust adaptive algorithm for nonlinear systems with unknown measurement noise and uncertain parameters by variational Bayesian inference

Published:2018-04-02 Issue:10 Volume:28 Page:3475-3500
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Yu Xingkai¹²^ORCID,Li Jianxun¹²,Xu Jian³

Affiliation:

1. Department of Automation, School of Electronic Information and Electrical Engineering; Shanghai Jiao Tong University; Shanghai, 200240 China

2. Key Laboratory of System Control and Information Processing, Ministry of Education of China; Shanghai Jiao Tong University; Shanghai, 200240 China

3. Department 8th; Nanjing Research Institute of Electronic Engineering; Nanjing China

Funder

National Natural Science Foundation of China

973 project

Aerospace Science and Technology Innovation Fund and Aeronautical Science Foundation of China

2015 Industry-University-Research Cooperation Project of Aviation Industry Corporation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference45 articles.

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2. Advanced point-mass method for nonlinear state estimation;Šimandl;Automatica,2006

3. A Monte Carlo approach to the analysis of control system robustness;Ray;Automatica,1993

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