Fully Distributed Dynamic Event-Triggered Observer-Based H∞ Consensus Control of Fractional-Order Multi-Agent Systems
This paper investigates robust output-feedback consensus of linear fractional-order multi-agent systems under external disturbances and communication constraints. A fully distributed framework is developed by integrating local dynamic observers, fractional adaptive edge couplings, and dynamic event-triggered communication. The resulting protocol requires neither the network size nor algebraic connectivity. An explicit locally verifiable triggering condition is derived directly from the weighted broadcast-error term, while positivity of the fractional internal variable and Hölder continuity of Caputo trajectories are used to exclude Zeno behavior. A three-channel fractional bounded-real analysis characterizes the consensus, observer-to-coupling, and observer-to-output mappings and yields a generalized H∞ attenuation bound for the actual plant disagreement. In a six-agent benchmark, the proposed trigger requires 366 transmissions, compared with 3164 for a static trigger and 6000 for periodic communication, corresponding to reductions of 88.43% and 93.90%, respectively, with comparable consensus accuracy. Finite-energy disturbance tests, attenuation-certificate analysis, numerical sensitivity studies, and a fractional servo synchronization example further demonstrate the effectiveness and applicability of the proposed method.
Authors
- Pingyuan Yan (ORCID: https://orcid.org/0000-0003-0704-1692)
- Zhihan Shi (ORCID: https://orcid.org/0009-0004-5905-0851)
- Guangming Zhang (ORCID: https://orcid.org/0000-0002-9566-7865)
- Chen Zhang (ORCID: https://orcid.org/0009-0006-5021-2716)
- Haoran Zheng (ORCID: https://orcid.org/0009-0002-4769-3716)
- Yajun Xu
Institutions
- Nanjing Tech University (CN)
- Nantong University (CN)
- Nantong Science and Technology Bureau (CN)
Publication Details
- Journal
- Fractal and Fractional
- Published
- 2026-09-09
- DOI
- https://doi.org/10.3390/fractalfract10090624
- Primary Topic
- Distributed Control Multi-Agent Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00