| Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach M Abu-Khalaf, FL Lewis Automatica 41 (5), 779-791, 2005 | 1378 | 2005 |
| Discrete-time nonlinear HJB solution using approximate dynamic programming: Convergence proof A Al-Tamimi, FL Lewis, M Abu-Khalaf IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 1144 | 2008 |
| Adaptive optimal control for continuous-time linear systems based on policy iteration D Vrabie, O Pastravanu, M Abu-Khalaf, FL Lewis Automatica 45 (2), 477-484, 2009 | 949 | 2009 |
| Model-free Q-learning designs for linear discrete-time zero-sum games with application to H-infinity control A Al-Tamimi, FL Lewis, M Abu-Khalaf Automatica 43 (3), 473-481, 2007 | 636 | 2007 |
| Policy Iterations on the Hamilton–Jacobi–Isaacs Equation forState Feedback Control With Input Saturation M Abu-Khalaf, FL Lewis, J Huang IEEE Transactions on Automatic Control 51 (12), 1989-1995, 2006 | 251 | 2006 |
| Neurodynamic programming and zero-sum games for constrained control systems M Abu-Khalaf, FL Lewis, J Huang IEEE Transactions on Neural Networks 19 (7), 1243-1252, 2008 | 222 | 2008 |
| Adaptive Critic Designs for Discrete-Time Zero-Sum Games With Application to Control A Al-Tamimi, M Abu-Khalaf, FL Lewis IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 192 | 2007 |
| A neural network solution for fixed-final time optimal control of nonlinear systems T Cheng, FL Lewis, M Abu-Khalaf Automatica 43 (3), 482-490, 2007 | 178 | 2007 |
| Necessary and sufficient conditions for H-infinity static output-feedback control J Gadewadikar, FL Lewis, M Abu-Khalaf Journal of guidance, control, and dynamics 29 (4), 915-920, 2006 | 173 | 2006 |
| Nonlinear H2/H∞ Constrained Feedback Control: A Practical Design Approach Using Neural Networks M Abu-Khalaf, J Huang, FL Lewis Springer, 2006 | 156* | 2006 |
| Fixed-final-time-constrained optimal control of nonlinear systems using neural network HJB approach T Cheng, FL Lewis, M Abu-Khalaf IEEE Transactions on Neural Networks 18 (6), 1725-1737, 2007 | 133 | 2007 |
| Parameterization of all stabilizing H∞ static state-feedback gains: application to output-feedback design J Gadewadikar, FL Lewis, L Xie, V Kucera, M Abu-Khalaf Automatica 43 (9), 1597-1604, 2007 | 101 | 2007 |
| Continuous-time ADP for linear systems with partially unknown dynamics D Vrabie, M Abu-Khalaf, FL Lewis, Y Wang 2007 IEEE International Symposium on Approximate Dynamic Programming and …, 2007 | 50 | 2007 |
| Nearly optimal state feedback control of constrained nonlinear systems using a neural networks HJB approach M Abu-Khalaf, FL Lewis Annual Reviews in Control 28 (2), 239-251, 2004 | 48 | 2004 |
| A Hamilton-Jacobi setup for constrained neural network control FL Lewis, M Abu-Khalaf Proceedings of the 2003 IEEE International Symposium on Intelligent Control …, 2003 | 33 | 2003 |
| Nearly optimal HJB solution for constrained input systems using a neural network least-squares approach M Abu-Khalaf, FL Lewis Proceedings of the 41st IEEE Conference on Decision and Control, 2002. 1 …, 2002 | 28 | 2002 |
| Hamilton-Jacobi-Isaacs formulation for constrained input nonlinear systems M Abu-Khalaf, FL Lewis, J Huang 2004 43rd IEEE Conference on Decision and Control (CDC)(IEEE Cat. No …, 2004 | 27 | 2004 |
| Biologically inspired scheme for continuous-time approximate dynamic programming D Vrabie, F Lewis, M Abu-Khalaf Transactions of the Institute of Measurement and Control 30 (3-4), 207-223, 2008 | 16 | 2008 |
| Model-free approximate dynamic programming schemes for linear systems A Al-Tamimi, D Vrabie, M Abu-Khalaf, FL Lewis 2007 international joint conference on neural networks, 371-378, 2007 | 16 | 2007 |
| Analytic Solution of a Delay Differential Equation Arising in Cost Functionals for Systems with Distributed Delays S Gumussoy, M Abu-Khalaf IEEE Transactions on Automatic Control, 2019, 2018 | 10 | 2018 |
F.L. Lewisprofessor of electrical engineering, The University of Texas at ArlingtonVerified email at uta.edu
