A neural network adaptive interval observer design for nonlinear systems-Reference-Cited by-同舟云学术

A neural network adaptive interval observer design for nonlinear systems

Published:2022-02-24 Issue:6 Volume:16 Page:615-624
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Yi Zeren¹²^ORCID,Xie Wei¹³,Liu Longwen¹,Xu Bugong¹

Affiliation:

1. School of Automation Science and Engineering South China University of Technology Guangzhou People's Republic of China

2. School of Electrical Engineering Guangxi University Nanning People's Republic of China

3. Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing South China University of Technology China

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/cth2.12258

Reference43 articles.

1. Stable adaptive observers for nonlinear time-varying systems

2. Interval observer design for consistency checks of nonlinear continuous-time systems

3. Interval observers for uncertain biological systems

4. Interval State Estimation for a Class of Nonlinear Systems

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