Adaptive Neural Cooperative Control of Multirobot Systems With Input Quantization-Reference-Cited by-同舟云学术

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Adaptive Neural Cooperative Control of Multirobot Systems With Input Quantization

Published:2024-09 Issue:9 Volume:54 Page:5518-5528
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Ma Tiedong¹^ORCID,Hu Feng¹^ORCID,Su Xiaojie¹^ORCID,Shen Chao²^ORCID,Ma Xiaoyu³^ORCID

Affiliation:

1. School of Automation, Chongqing University, Chongqing, China

2. School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, Shanxi, China

3. Chongqing Co-Core Optoelectronics Technology Research Institute Company Ltd., Chongqing, China

Funder

National Natural Science Foundation of China

National Foreign Expert Introduction Program

International ST Cooperation Projects of Huangpu District

Chongqing Technology Innovation and Application Development Special Key Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221036/10646531/10483103.pdf?arnumber=10483103

Reference36 articles.

1. An Efficient Computing of Correlated Equilibrium for Cooperative $Q$-Learning-Based Multi-Robot Planning

2. Distributed Environmental Monitoring With Finite Element Robots

3. Cooperative Distributed Source Seeking by Multiple Robots: Algorithms and Experiments

4. Impulsive Consensus of One-Sided Lipschitz Multi-Agent Systems with Deception Attacks and Stochastic Perturbation

5. Discontinuous Adaptive Impulsive Control of Uncertain System With Extension in Stochastic Perturbation and Actuator Saturation

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