Adaptive state estimation of state-affine systems with unknown time-varying parameters-Reference-Cited by-同舟云学术

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Adaptive state estimation of state-affine systems with unknown time-varying parameters

Published:2021-04-21 Issue: Volume: Page:1-13
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Bobtsov Alexey¹²^ORCID,Ortega Romeo²³^ORCID,Yi Bowen⁴^ORCID,Nikolaev Nikolay²^ORCID

Affiliation:

1. School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, People's Republic of China

2. Department of Control Systems and Robotics, ITMO University, Saint-Petersburg, Russia

3. Departamento Académico de Sistemas Digitales, ITAM, Ciudad de México, México

4. Australian Centre for Field Robotics, The University of Sydney, Sydney, Australia

Funder

Ministry of Science and Higher Education of Russian Federation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2021.1913647

Reference46 articles.

1. Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing*

2. Flux and Position Observer of Permanent Magnet Synchronous Motors with Relaxed Persistency of Excitation Conditions∗∗This article is supported by Government of Russian Federation (grant 074-U01, GOSZADANIE 2014/190 (project 2118)), the Ministry of Education and Science of Russian Federation (project 14.Z50.31.0031).

3. A globally exponentially stable speed observer for a class of mechanical systems: experimental and simulation comparison with high-gain and sliding mode designs

4. State Estimation for Linear Time-Varying Observation Systems

5. On global asymptotic stability ofẋ=−ϕ(t)ϕ⊤(t)xwithϕnot persistently exciting

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