Mohammed Abouheaf
Mohammed Abouheaf
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada
Vahvistettu sähköpostiosoite verkkotunnuksessa uottawa.ca
Nimike
Viittaukset
Viittaukset
Vuosi
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
1472014
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
892017
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
372015
Multi-agent differential graphical games: Nash online adaptive learning solutions
MI Abouheaf, FL Lewis
52nd IEEE Conference on Decision and Control, 5803-5809, 2013
252013
Distributed Solution for the Economic Dispatch Problem
T Binetti, Abouheaf, Lewis, Naso, Davoudi
In proceeding of: 21st Mediterranean Conference on Control and Automation …, 2013
25*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
192018
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
192014
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
192013
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
162013
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
162013
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
132017
Adaptive Critics Based Cooperative Control Scheme for Islanded Microgrids
N Alyazidia, M Mahmoud, M Abouheaf
Neurocomputing, 2017
132017
Differential graphical games: Policy iteration solutions and coupled Riccati formulation
MI Abouheaf, FL Lewis, MS Mahmoud
2014 European Control Conference (ECC), 1594-1599, 2014
132014
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
112018
Approximate and reinforcement learning techniques to solve non-convex economic dispatch problems
MI Abouheaf, S Haesaert, WJ Lee, FL Lewis
2014 IEEE 11th International Multi-Conference on Systems, Signals & Devices …, 2014
112014
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
102017
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
72019
Online policy iteration solution for dynamic graphical games
MI Abouheaf, MS Mahmoud
2016 13th International Multi-Conference on Systems, Signals & Devices (SSD …, 2016
72016
Q-Learning with Eligibility Traces to solve Non-Convex economic dispatch problems
MI Abouheaf, S Haesaert, WJ Lee, FL Lewis
International Journal of Electrical and Computer Engineering 6 (7), 723-730, 2013
72013
Reinforcement learning control approach for autonomous microgrids
MS Mahmoud, M Abouheaf, A Sharaf
International Journal of Modelling and Simulation, 1-10, 2019
62019
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20