Mohammed I. Abouheaf

Orcid: 0000-0002-6130-9015

According to our database1, Mohammed I. Abouheaf authored at least 45 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An online model-free adaptive learning control solution for robotic arms.
Int. J. Model. Simul. Sci. Comput., June, 2024

Model-Free Force Control of Cable-Driven Parallel Manipulators for Weight-Shift Aircraft Actuation.
IEEE Trans. Instrum. Meas., 2024

A Model-Free Solution for Stackelberg Games Using Reinforcement Learning and Projection Approaches.
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2024

A Model-Free Leader-Follower Approach with Multi-Level Reference Command Generators.
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2024

2023
An Online Model-Following Projection Mechanism Using Reinforcement Learning.
IEEE Trans. Autom. Control., November, 2023

Real-time measurement-driven reinforcement learning control approach for uncertain nonlinear systems.
Eng. Appl. Artif. Intell., 2023

An Online Model-Free Reinforcement Learning Approach for 6-DOF Robot Manipulators.
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2023

Experimental Validation of Multirobot Coverage using Underactuated Networked Mobile Robots.
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2023

Behavior Replication of Cascaded Dynamic Systems Using Machine Learning.
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2023

Nonlinear Deterministic Observer for Inertial Navigation Using Ultra-Wideband and IMU Sensor Fusion.
IROS, 2023

An Observer-Based Reinforcement Learning Solution for Model-Following Problems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Neural-Adaptive Stochastic Attitude Filter on SO(3).
IEEE Control. Syst. Lett., 2022

2021
Responding to Illegal Activities Along the Canadian Coastlines Using Reinforcement Learning.
IEEE Instrum. Meas. Mag., 2021

Geometric Stochastic Filter with Guaranteed Performance for Autonomous Navigation based on IMU and Feature Sensor Fusion.
CoRR, 2021

Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft.
CoRR, 2021

A Policy Iteration Approach for Flock Motion Control.
Proceedings of the 14th IEEE International Symposium on Robotic and Sensors Environments, 2021

A Data-Driven Model-Reference Adaptive Control Approach Based on Reinforcement Learning.
Proceedings of the 14th IEEE International Symposium on Robotic and Sensors Environments, 2021

An Adaptive Fuzzy Reinforcement Learning Cooperative Approach for the Autonomous Control of Flock Systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Guidance Mechanism for Flexible-Wing Aircraft Using Measurement-Interfaced Machine-Learning Platform.
IEEE Trans. Instrum. Meas., 2020

Model-Free Optimized Tracking Control Heuristic.
Robotics, 2020

A Non-Linear-Threshold-Accepting Function Based Algorithm for the Solution of Economic Dispatch Problem.
RAIRO Oper. Res., 2020

Online model-free controller for flexible wing aircraft: a policy iteration-based reinforcement learning approach.
Int. J. Intell. Robotics Appl., 2020

Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case Study.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Online Multi-Objective Model-Independent Adaptive Tracking Mechanism for Dynamical Systems.
Robotics, 2019

An Online Reinforcement Learning Wing-Tracking Mechanism for Flexible Wing Aircraft.
Proceedings of the 13th IEEE International Symposium on Robotic and Sensors Environments, 2019

Neurofuzzy Reinforcement Learning Control Schemes for Optimized Dynamical Performance.
Proceedings of the 13th IEEE International Symposium on Robotic and Sensors Environments, 2019

Model-Free Adaptive Control Approach Using Integral Reinforcement Learning.
Proceedings of the 13th IEEE International Symposium on Robotic and Sensors Environments, 2019

Multi-Agent Synchronization Using Online Model-Free Action Dependent Dual Heuristic Dynamic Programming Approach.
Proceedings of the International Conference on Robotics and Automation, 2019

Policy Iteration Solution for Differential Games with Constrained Control Policies.
Proceedings of the 2019 American Control Conference, 2019

2018
Model-Free Gradient-Based Adaptive Learning Controller for an Unmanned Flexible Wing Aircraft.
Robotics, 2018

Adaptive critics based cooperative control scheme for islanded Microgrids.
Neurocomputing, 2018

Model-Free Value Iteration Solution for Dynamic Graphical Games.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2018

Reinforcement Learning Solution with Costate Approximation for a Flexible Wing Aircraft.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2018

Action Dependent Dual Heuristic Programming Solution for the Dynamic Graphical Games.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016
Novel heuristic solution for the non-convex economic dispatch problem.
Proceedings of the 13th International Multi-Conference on Systems, Signals & Devices, 2016

Online policy iteration solution for dynamic graphical games.
Proceedings of the 13th International Multi-Conference on Systems, Signals & Devices, 2016

2014
Multi-agent discrete-time graphical games and reinforcement learning solutions.
Autom., 2014

Differential graphical games: Policy iteration solutions and coupled Riccati formulation.
Proceedings of the 13th European Control Conference, 2014

Model-free adaptive learning solutions for discrete-time dynamic graphical games.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Approximate and Reinforcement Learning techniques to solve non-convex Economic Dispatch problems.
Proceedings of the IEEE 11th International Multi-Conference on Systems, Signals & Devices, 2014

2013
Distributed solution for the economic dispatch problem.
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013

Approximate dynamic programming solutions of multi-agent graphical games using actor-critic network structures.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Multi-agent differential graphical games: Nash online adaptive learning solutions.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Multi-agent discrete-time graphical games: interactive Nash equilibrium and value iteration solution.
Proceedings of the American Control Conference, 2013


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