Enhanced parameter estimation in adaptive control via online historical data-Reference-Cited by-同舟云学术

Enhanced parameter estimation in adaptive control via online historical data

Published:2019-09-23 Issue:16 Volume:13 Page:2710-2716
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Pan Yongping¹²^ORCID,Sun Tairen³,Joo Young Hoon⁴,Yu Haoyong¹

Affiliation:

1. School of Data and Computer Science, Sun Yat‐sen UniversityGuangzhou510006People's Republic of China

2. National University of Singapore (Suzhou) Research InstituteSuzhou215123People's Republic of China

3. School of Electrical and Information Engineering, Jiangsu UniversityZhenjiang212013People's Republic of China

4. Department of Control and Robotics EngineeringKunsan National UniversityKunsan573701Republic of Korea

Funder

National Natural Science Foundation of China

Agency for Science, Technology and Research

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.5836

Reference25 articles.

1. Nonlinearities enhance parameter convergence in output-feedback systems

2. Necessary and sufficient conditions for parameter convergence in adaptive control

3. Frequency domain conditions for parameter convergence in multivariable recursive identification;Demathelin M.;Automatica,1990

4. Parameter convergence of a new class of adaptive controllers

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