Cluster Time-Varying Formation-Containment Tracking of Networked Robotic Systems Via Hierarchical Prescribed-Time ESO-Based Control-Reference-Cited by-同舟云学术

Cluster Time-Varying Formation-Containment Tracking of Networked Robotic Systems Via Hierarchical Prescribed-Time ESO-Based Control

Published:2024-01 Issue:1 Volume:11 Page:566-577
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Ding Teng-Fei¹^ORCID,Ge Ming-Feng¹^ORCID,Liu Zhi-Wei²^ORCID,Chi Ming²^ORCID,Ahn Choon Ki³^ORCID

Affiliation:

1. School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, China

2. Key Laboratory of Image Processing and Intelligent Control, and the School of Artificial Intelligence and Automation, Ministry of Education, Huazhong University of Science and Technology, Wuhan, China

3. School of Electrical Engineering, Korea University, Seoul, South Korea

Funder

National Natural Science Foundation of China

National Key Technology R&D Program of China

Natural Science Foundation of Hubei Province of China

Innovative Development Project for Supporting Enterprise Technology of Hubei Province of China

National Research Foundation of Korea

Korea government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/10382160/10214489.pdf?arnumber=10214489

Reference52 articles.

1. Model-Free Event-Triggered Optimal Consensus Control of Multiple Euler-Lagrange Systems via Reinforcement Learning

2. Model-Independent Containment Control for Dynamic Multiple Euler-Lagrange Systems With Disturbances and Uncertainties

3. Twisting-Based Finite-Time Consensus for Euler–Lagrange Systems With an Event-Triggered Strategy

4. Hierarchical Controller-Estimator for Coordination of Networked Euler–Lagrange Systems

5. Adaptive Fuzzy Backstepping-Based Formation Control of Unmanned Surface Vehicles With Unknown Model Nonlinearity and Actuator Saturation

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