Interval Type-2 Fuzzy Dynamic Event-Triggered <i>H</i> <sub>∞</sub> Consensus of Multiagent Systems
This study considers a dynamic event-triggered fuzzy <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\mathcal {H}}_{\infty }$ </tex-math></inline-formula> consensus problem for multiagent systems (MAS) characterized by parameter uncertainties and external disturbances in interval type-2 (IT2) fuzzy form. The proposed control strategy aims to minimize data transmission by triggering control events dynamically. Stability analysis is conducted by Lyapunov stability theory, and more mathematical tools are introduced to relax the sufficient condition and demonstrate the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\mathcal {H}}_{\infty }$ </tex-math></inline-formula> consensus. The developed control scheme ensures the consensus among agents, enhancing the overall system performance in the presence of uncertainties and disturbances. Finally, three examples exhibit the validity of the suggested controller.
Authors
- Zhenbin Du (ORCID: https://orcid.org/0000-0003-0766-5980)
- Xiangpeng Xie (ORCID: https://orcid.org/0000-0003-4822-3134)
- Xudong Zhao (ORCID: https://orcid.org/0000-0002-1864-4686)
- Yonggui Kao (ORCID: https://orcid.org/0000-0003-3607-3511)
Institutions
- Yantai University (CN)
- Harbin Institute of Technology (CN)
- Dalian University of Technology (CN)
- Nanjing University of Posts and Telecommunications (CN)
Publication Details
- Journal
- IEEE Transactions on Systems Man and Cybernetics Systems
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1109/tsmc.2025.3546994
- Citations
- 6
- Primary Topic
- Distributed Control Multi-Agent Systems
- Type
- article
- Field-Weighted Citation Impact
- 8.92
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province