This paper studies distributed leader–follower consensus for heterogeneous nonlinear multi-agent systems with different physical orders and channel-dependent matched and mismatched disturbances. A channel-wise fixed-time extended-state observer estimates the lumped disturbance in each state equation, while a finite-ter...
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 communicat...
Hao-Ran Zheng, Chen Zhang, Ya-Jun Xu et al.· Fractal and Fractional· 0 citations
This paper investigates distributed optimization-assisted output consensus for nonlinear multi-agent systems with mutually incommensurate Caputo orders, unavailable velocity-like states, bounded disturbances, measurement noise, and actuator saturation with Caputo quadratic inequalities.
Chen Zhang, Hui Shen, Lijun Ma et al.· Fractal and Fractional· 3 citations
GFE-Net is rigorously benchmarked on two widely adopted large-scale datasets—S3DIS and SensatUrban—yielding OA/mIoU of 89.6%/73.1% and 93.3%/61.1%, respectively.
