48 citations · 146 across the 14 of their papers we have counts for
7 papers · 1 filter
An Observer-Based Reinforcement Learning Solution for Model-Following Problems
Mohammed I. Abouheaf, Kyriakos G. Vamvoudakis, Mohammad A. Mayyas +1
In this paper, a multi-objective model-following control problem is solved using an observer-based adaptive learning scheme. The overall goal is to regulate the model-following err…
Nonlinear Deterministic Observer for Inertial Navigation using Ultra-wideband and IMU Sensor Fusion
Hashim A. Hashim, Abdelrahman E. E. Eltoukhy, Kyriakos G. Vamvoudakis +1
Navigation in Global Positioning Systems (GPS)-denied environments requires robust estimators reliant on fusion of inertial sensors able to estimate rigid-body's orientation, posit…
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…
An Online Model-Following Projection Mechanism Using Reinforcement Learning
Mohammed I. Abouheaf, Hashim A. Hashim, Mohammad A. Mayyas +1
In this paper, we propose a model-free adaptive learning solution for a model-following control problem. This approach employs policy iteration, to find an optimal adaptive control…