20 citations · 74 across the 9 of their papers we have counts for
5 papers · 1 filter
A Policy Iteration Approach for Flock Motion Control
Shuzheng Qu, Mohammed Abouheaf, Wail Gueaieb +1
The flocking motion control is concerned with managing the possible conflicts between local and team objectives of multi-agent systems. The overall control process guides the agent…
A Data-Driven Model-Reference Adaptive Control Approach Based on Reinforcement Learning
Mohammed Abouheaf, Wail Gueaieb, Davide Spinello +1
Model-reference adaptive systems refer to a consortium of techniques that guide plants to track desired reference trajectories. Approaches based on theories like Lyapunov, sliding…
An Adaptive Fuzzy Reinforcement Learning Cooperative Approach for the Autonomous Control of Flock Systems
Shuzheng Qu, Mohammed Abouheaf, Wail Gueaieb +1
The flock-guidance problem enjoys a challenging structure where multiple optimization objectives are solved simultaneously. This usually necessitates different control approaches t…
Real-Time Measurement-Driven Reinforcement Learning Control Approach for Uncertain Nonlinear Systems
Mohammed Abouheaf, Derek Boase, Wail Gueaieb +2
The paper introduces an interactive machine learning mechanism to process the measurements of an uncertain, nonlinear dynamic process and hence advise an actuation strategy in real…
Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication
Payam Parvizi, Runnan Zou, Colin Bellinger +2
Optical satellite-to-ground communication (OSGC) has the potential to improve access to fast and affordable Internet in remote regions. Atmospheric turbulence, however, distorts th…