Optimizing control efficiency in discrete-time multi-agent systems via event-triggered containment techniques combining disturbance handling and input delay …
The goal of this paper is to mitigate disturbances and input delays while optimizing controller
actuation updates for discrete-time multi-agent systems through the use of an event …
actuation updates for discrete-time multi-agent systems through the use of an event …
IMAP-QL: an improved multi-agent pursuit path-planning based on Q-learning
Multi-agent path planning is a complex problem aiming to find the shortest trajectory. In this
paper, we propose a cooperative path planning based on a hybridisation of two motion …
paper, we propose a cooperative path planning based on a hybridisation of two motion …