Distributed semi-supervised learning with missing data
Z Xu, Y Liu, C Li - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
Data classification is usually challenged by the difficulty and/or high cost in collecting
sufficient labeled data, and unavoidability of data missing. Besides, most of the existing …
sufficient labeled data, and unavoidability of data missing. Besides, most of the existing …
Finite horizon discrete models for multi-agent control systems with coupled dynamics
The goal of this paper is to obtain online abstractions for coupled multi-agent systems in a
decentralized manner. A discrete model which captures the motion capabilities of each …
decentralized manner. A discrete model which captures the motion capabilities of each …
Abstractions of varying decentralization degree for reachability of coupled multiagent systems
In this paper we present a decentralized abstraction framework for multiagent systems with
couplings in their dynamics, which arise in their popular coordination protocols. The discrete …
couplings in their dynamics, which arise in their popular coordination protocols. The discrete …
Distributed hybrid control synthesis for multi-agent systems from high-level specifications
Current control applications necessitate in many cases the consideration of systems with
multiple interconnected components. These components/agents may need to fulfill high …
multiple interconnected components. These components/agents may need to fulfill high …