Learning-Observer-Based Adaptive Tracking Control of Multiagent Systems Using Compensation Mechanism-Reference-Cited by-同舟云学术

Learning-Observer-Based Adaptive Tracking Control of Multiagent Systems Using Compensation Mechanism

Published:2024-01 Issue:1 Volume:5 Page:358-369
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Li Zhiqiang¹^ORCID,Liu Yang²^ORCID,Ma Hui³^ORCID,Li Hongyi¹^ORCID

Affiliation:

1. School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou, China

2. School of Automation and Electronics Engineering, Qingdao University of Science and Technology, Qingdao, China

3. School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Major Key Project of Peng Cheng Laboratory

Local Innovative and Research Teams Project of Guangdong Special Support Program

Special Project for Research and Development in Key areas of Guangdong Province

China National Postdoctoral Program

Talent Introduction and Cultivation Plan for Youth Innovation of Universities in Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Link

http://xplorestaging.ieee.org/ielx7/9078688/10384607/10049632.pdf?arnumber=10049632

Reference53 articles.

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2. Linear and Weakly Nonlinear Stability Analyses of Cooperative Car-Following Models

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4. Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems

5. Adaptive Sliding Mode Consensus Tracking for Second-Order Nonlinear Multiagent Systems With Actuator Faults

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