Novel Extended State Observer Design for Uncertain Nonlinear Systems via Refined Dynamic Event-Triggered Communication Protocol-Reference-Cited by-同舟云学术

Novel Extended State Observer Design for Uncertain Nonlinear Systems via Refined Dynamic Event-Triggered Communication Protocol

Published:2023-03 Issue:3 Volume:53 Page:1856-1867
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Li Zhichen¹^ORCID,Yan Huaicheng¹^ORCID,Zhang Hao²^ORCID,Yang Simon X.³^ORCID,Chen Mengshen¹

Affiliation:

1. Key Laboratory of Smart Manufacturing in Energy Chemical Process of Ministry of Education, East China University of Science and Technology, Shanghai, China

2. Department of Control Science and Engineering, Tongji University, Shanghai, China

3. School of Engineering, University of Guelph, Guelph, ON, Canada

Funder

National Natural Science Foundation of China

Shanghai Natural Science Foundation

Program of Shanghai Academic Research Leader

Shanghai and Hong Kong–Macao–Taiwan Science and Technology Cooperation Project

Shanghai Shuguang Project

Innovation Program of Shanghai Municipal Education Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6221036/10045549/09760278.pdf?arnumber=9760278

Reference38 articles.

1. Passivity and passification for switched T-S fuzzy systems with sampled-data implementation

2. Event-Triggered $H_\infty$ State Estimation of 2-DOF Quarter-Car Suspension Systems With Nonhomogeneous Markov Switching

3. Aperiodic Sampled-Data-Based Control for Interval Type-2 Fuzzy Systems via Refined Adaptive Event-Triggered Communication Scheme

4. Dynamic Event-Triggered Asynchronous Control for Nonlinear Multiagent Systems Based on T–S Fuzzy Models

5. Fault Estimation Observer Design for Discrete-Time Takagi–Sugeno Fuzzy Systems Based on Homogenous Polynomially Parameter-Dependent Lyapunov Functions

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