A5102862986- Distributed Control Multi-Agent Systems
- UAV Applications and Optimization
- Smart Grid Energy Management
- Mobile Ad Hoc Networks
- Cooperative Communication and Network Coding
- Robotic Path Planning Algorithms
- Smart Parking Systems Research
- Energy Load and Power Forecasting
- Slime Mold and Myxomycetes Research
Huazhong University of Science and Technology
2024-2025
It has long posed a challenging task to optimally deploy multi-agent systems (MASs) cooperatively coverage poriferous environments in real cooperative detection applications. In response this challenge, paper proposes hierarchical control (HCC) protocol for MASs perform sector-based operations. First, distributed Voronoi partition-based sweep-and-assign protocol, combined with sectorial partition method, is developed, enabling the segmentation of whole region into multiple sub-subregions....
In this paper, a distributed algorithm is proposed to identify the node and edge numbers of anonymous leader-follower networks. The present method works merely by exchanging scalar information local intercommunication. merit lies in identifying required network parameters time-varying topological networks without special initialization. Sufficient conditions are derived for cascading systems theoretically guarantee exponential convergence individual estimation total number nodes or edges...
To extract the household attribute information from large volume of smart meter data, this study proposes a resident characteristics estimator. Such an estimator enables energy suppliers to provide personalized services whereas assist customers reduce consumption. By leveraging potential connections among different characteristics, deep convolutional neural network-based cross-task transfer learning scheme is designed, which makes full use knowledge learned one characteristic (such as...