Observer-Based <i>H</i> <sub>∞</sub> Fault-Tolerant Tracking Control of Multi-Agent Systems With Nonideal Communication Links and External Disturbances
This paper studies the problem of robust <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> active fault-tolerant tracking control for multi-agent systems (MASs) under nonideal communication links and external disturbances. Unlike most existing studies that assume idealized or simplified communication links, such as uniform constant or time-varying delays, this paper considers a more realistic communication scenario involving non-uniform time-varying communication delays. The communication cases discussed encompass existing common communication scenarios as special cases. To achieve active fault-tolerant control, an intermediate variable-assisted proportional-integral observer (PIO) is introduced to estimate the system’s state and faults. Based on fault estimation values and considering non-ideal communication constraints, a fault-tolerant control scheme is designed to achieve the leader-follower tracking control objectives. With the help of Lyapunov theory and matrix inequality method, sufficient criteria are proposed for co-designing the observer and controller gains. Finally, two simulation examples verify the effectiveness of the theoretical results.
Authors
- Huichao Lin (ORCID: https://orcid.org/0000-0003-1113-2423)
- Ju H. Park (ORCID: https://orcid.org/0000-0002-0218-2333)
- Jiuxiang Dong (ORCID: https://orcid.org/0000-0002-0318-3004)
Institutions
- State Key Laboratory of Synthetical Automation for Process Industries
- Yeungnam University (KR)
- Northeastern University (CN)
Publication Details
- Journal
- IEEE Transactions on Automation Science and Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tase.2025.3557951
- Citations
- 17
- Primary Topic
- Distributed Control Multi-Agent Systems
- Type
- article
- Field-Weighted Citation Impact
- 25.28
Funders
- National Natural Science Foundation of China
- National Research Foundation of Korea
- State Key Laboratory of Synthetical Automation for Process Industries