Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations-Reference-Cited by-同舟云学术

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Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations

Published:2018-11 Issue: Volume:97 Page:150-160
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Hu Jun,Wang Zidong,Gao Huijun

Funder

National Natural Science Foundation of China

111 Project

Fok Ying Tung Education Foundation of China

Outstanding Youth Science Foundation of Heilongjiang Province of China

University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference39 articles.

1. Joint state and parameter estimation for uncertain stochastic nonlinear polynomial systems;Basin;International Journal of Systems Science,2013

2. Mean-square filtering for polynomial system states confused with Poisson noises over polynomial observations;Basin;Modelling Identification and Control,2011

3. H−∕H∞ fault detection filter for a class of nonlinear descriptor systems;Boulkroune;International Journal of Control,2013

4. Signal estimation with multiple delayed sensors using covariance information;Caballero-Águila;Digital Signal Processing,2010

5. Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements;Caballero-Águila;International Journal of General Systems,2015

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