Robust identification approach for nonlinear state-space models-Reference-Cited by-同舟云学术

Robust identification approach for nonlinear state-space models

Published:2019-03 Issue: Volume:333 Page:329-338
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Liu Xin,Yang Xianqiang^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference44 articles.

1. Local identification of LPV dual-rate system with random measurement delays;Yang;IEEE Trans. Ind. Electron.,2018

2. Non-fragile state estimation for discrete Markovian jumping neural networks;Hou;Neurocomputing,2016

3. Design of non-fragile state estimators for discrete time-delayed neural networks with parameter uncertainties;Yu;Neurocomputing,2016

4. LPV model identification with an unknown scheduling variable in presence of missing observations-a robust global approach;Yang;IET Control Theory Appl.,2018

5. Multiple model approach to linear parameter varying time-delay system identification with em algorithm;Yang;J. Frankl. Inst.,2014

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