Multi-agent discrete-time graphical games and reinforcement learning solutions MI Abouheaf, FL Lewis, KG Vamvoudakis, S Haesaert, R Babuska Automatica 50 (12), 3038-3053, 2014 | 261 | 2014 |
Adaptive intelligent techniques for microgrid control systems: A survey MS Mahmoud, NM Alyazidi, MI Abouheaf International Journal of Electrical Power & Energy Systems 90, 292-305, 2017 | 163 | 2017 |
Discrete-time dynamic graphical games: Model-free reinforcement learning solution MI Abouheaf, FL Lewis, MS Mahmoud, DG Mikulski Control Theory and Technology 13 (1), 55-69, 2015 | 68 | 2015 |
A self-adjusting adaptive AVR-LFC scheme for synchronous generators N Nahas, M Abouheaf, A Sharaf, W Gueaieb IEEE Transactions on Power Systems 34 (6), 5073-5075, 2019 | 53 | 2019 |
A multi-objective optimization design of industrial robot arms SA Kouritem, MI Abouheaf, N Nahas, M Hassan Alexandria Engineering Journal 61 (12), 12847-12867, 2022 | 38 | 2022 |
Multi-agent differential graphical games: Nash online adaptive learning solutions MI Abouheaf, FL Lewis 52nd IEEE Conference on Decision and Control, 5803-5809, 2013 | 36 | 2013 |
Distributed solution for the economic dispatch problem G Binetti, M Abouheaf, F Lewis, D Naso, A Davoudi, B Turchiano 21st Mediterranean Conference on Control and Automation, 243-250, 2013 | 34 | 2013 |
Model‐free adaptive learning control scheme for wind turbines with doubly fed induction generators M Abouheaf, W Gueaieb, A Sharaf IET Renewable Power Generation 12 (14), 1675-1686, 2018 | 33 | 2018 |
Geometric stochastic filter with guaranteed performance for autonomous navigation based on IMU and feature sensor fusion HA Hashim, M Abouheaf, MA Abido Control Engineering Practice 116, 104926, 2021 | 31 | 2021 |
Approximate dynamic programming solutions of multi-agent graphical games using actor-critic network structures MI Abouheaf, FL Lewis The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 27 | 2013 |
Multi-agent discrete-time graphical games: interactive Nash equilibrium and value iteration solution M Abouheaf, F Lewis, S Haesaert, R Babuska, K Vamvoudakis 2013 American Control Conference, 4189-4195, 2013 | 22 | 2013 |
Reinforcement learning control approach for autonomous microgrids MS Mahmoud, M Abouheaf, A Sharaf International Journal of Modelling and Simulation 41 (1), 1-10, 2021 | 21 | 2021 |
Load frequency regulation for multi-area power system using integral reinforcement learning M Abouheaf, W Gueaieb, A Sharaf IET Generation, Transmission & Distribution, 2019 | 21 | 2019 |
Dynamic Graphical Games: Online Adaptive Learning Solutions Using Approximate Dynamic Programming M Abouheaf, F Lewis Frontiers of Intelligent Control and Information Processing 4, 1-48, 2014 | 21 | 2014 |
Dynamic formulation and approximation methods to solve economic dispatch problems MI Abouheaf, WJ Lee, FL Lewis IET Generation, Transmission & Distribution 7 (8), 866-873, 2013 | 20 | 2013 |
A multi-objective AVR-LFC optimization scheme for multi-area power systems N Nahas, M Abouheaf, MN Darghouth, A Sharaf Electric Power Systems Research 200, 107467, 2021 | 19 | 2021 |
Multi-Agent Reinforcement Learning Approach Based on Reduced Value Function Approximations M Abouheaf, W Gueaieb 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS …, 2017 | 19 | 2017 |
Model-Free Gradient-Based Adaptive Learning Controller for an Unmanned Flexible Wing Aircraft M Abouheaf, W Gueaieb, F Lewis Robotics 7 (4), 1-22, 2018 | 18 | 2018 |
Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft M Abouheaf, W Gueaieb, FL Lewis IET Control Theory & Applications, 2019 | 16 | 2019 |
Policy iteration and coupled Riccati solutions for dynamic graphical games MI Abouheaf, MS Mahmoud International Journal of Digital Signals and Smart Systems 1 (2), 143-162, 2017 | 15 | 2017 |