Adaptive Predefined-Time Bipartite Consensus Tracking Control of Constrained Nonlinear MASs: An Improved Nonlinear Mapping Function Method-Reference-Cited by-同舟云学术

Adaptive Predefined-Time Bipartite Consensus Tracking Control of Constrained Nonlinear MASs: An Improved Nonlinear Mapping Function Method

Published:2023-09 Issue:9 Volume:53 Page:6017-6026
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Niu Ben¹^ORCID,Zhang Yu²^ORCID,Zhao Xudong³,Wang Huanqing⁴^ORCID,Sun Wei⁵^ORCID

Affiliation:

1. School of Electrical Engineering, Sichuan University, Chengdu, China

2. School of Mathematics, Shandong University, Jinan, China

3. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China

4. School of Mathematics and Physics, Bohai University, Jinzhou, China

5. School of Mathematics Science, Liaocheng University, Liaocheng, China

Funder

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation of China

Taishan Scholar Project of Shandong Province of China

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/ielx7/6221036/10223305/10013746.pdf?arnumber=10013746

Reference45 articles.

1. Quantized Adaptive Finite-Time Bipartite NN Tracking Control for Stochastic Multiagent Systems

2. Global Predefined Time and Accuracy Adaptive Neural Network Control for Uncertain Strict-Feedback Systems With Output Constraint and Dead Zone

3. Prescribed Performance Bipartite Consensus Control for Stochastic Nonlinear Multiagent Systems Under Event-Triggered Strategy

4. Predefined-time stabilisation of a class of nonholonomic systems

5. Adaptive fuzzy output-feedback consensus tracking control of nonlinear multiagent systems in prescribed performance;zhang;IEEE Trans Cybern,2022

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