22 citations · 50 across the 6 of their papers we have counts for
6 papers
Responding to Illegal Activities Along the Canadian Coastlines Using Reinforcement Learning
Mohammed Abouheaf, Shuzheng Qu, Wail Gueaieb +2
This article elaborates on how machine learning (ML) can leverage the solution of a contemporary problem related to the security of maritime domains. The worldwide ``Illegal, Unrep…
Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft
Mohammed Abouheaf, Wail Gueaieb, Frank Lewis
The control problem of the flexible wing aircraft is challenging due to the prevailing and high nonlinear deformations in the flexible wing system. This urged for new control mecha…
Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case Study
Ning Wang, Mohammed Abouheaf, Wail Gueaieb
A data-driven computational heuristic is proposed to control MIMO systems without prior knowledge of their dynamics. The heuristic is illustrated on a two-input two-output balance…
Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach
Mohammed Abouheaf, Wail Gueaieb, Md. Suruz Miah +1
Underactuated systems like sea vessels have degrees of motion that are insufficiently matched by a set of independent actuation forces. In addition, the underlying trajectory-track…
Guidance Mechanism for Flexible Wing Aircraft Using Measurement-Interfaced Machine Learning Platform
Mohammed Abouheaf, Nathaniel Mailhot, Wail Gueaieb +1
The autonomous operation of flexible-wing aircraft is technically challenging and has never been presented within literature. The lack of an exact modeling framework is due to the…
Online Multi-Objective Model-Independent Adaptive Tracking Mechanism for Dynamical Systems
Mohammed Abouheaf, Wail Gueaieb, Davide Spinello
The optimal tracking problem is addressed in the robotics literature by using a variety of robust and adaptive control approaches. However, these schemes are associated with implem…