| Finite-horizon control-constrained nonlinear optimal control using single network adaptive critics A Heydari, SN Balakrishnan IEEE Transactions on Neural Networks and Learning Systems 24 (1), 145-157, 2012 | 253 | 2012 |
| Revisiting approximate dynamic programming and its convergence A Heydari IEEE transactions on cybernetics 44 (12), 2733-2743, 2014 | 125 | 2014 |
| Path planning using a novel finite horizon suboptimal controller A Heydari, SN Balakrishnan Journal of guidance, control, and dynamics 36 (4), 1210-1214, 2013 | 89 | 2013 |
| Optimal Switching and Control of Nonlinear Switching Systems Using Approximate Dynamic Programming A Heydari, SN Balakrishnan IEEE Transactions on Neural Networks and Learning, 1-1, 2014 | 68 | 2014 |
| Stability analysis of optimal adaptive control under value iteration using a stabilizing initial policy A Heydari IEEE transactions on neural networks and learning systems 29 (9), 4522-4527, 2017 | 66 | 2017 |
| Closed‐form solution to finite‐horizon suboptimal control of nonlinear systems A Heydari, SN Balakrishnan International Journal of Robust and Nonlinear Control 25 (15), 2687-2704, 2015 | 63 | 2015 |
| Stability Analysis of Optimal Adaptive Control using Value Iteration with Approximation Errors A Heydari IEEE Transactions on Automatic Control, 2018 | 58 | 2018 |
| Theoretical and numerical analysis of approximate dynamic programming with approximation errors A Heydari Journal of Guidance, Control, and Dynamics 39 (2), 301-311, 2016 | 58 | 2016 |
| Approximate closed-form solutions to finite-horizon optimal control of nonlinear systems A Heydari, SN Balakrishnan 2012 American Control Conference (ACC), 2657-2662, 2012 | 52 | 2012 |
| Optimal switching between autonomous subsystems A Heydari, SN Balakrishnan Journal of the Franklin Institute 351 (5), 2675-2690, 2014 | 48 | 2014 |
| Fixed-final-time optimal tracking control of input-affine nonlinear systems A Heydari, SN Balakrishnan Neurocomputing 129, 528-539, 2014 | 48 | 2014 |
| Optimal scheduling for reference tracking or state regulation using reinforcement learning A Heydari Journal of the Franklin Institute 352 (8), 3285-3303, 2015 | 41 | 2015 |
| Fixed-final-time optimal control of nonlinear systems with terminal constraints A Heydari, SN Balakrishnan Neural Networks 48, 61-71, 2013 | 40 | 2013 |
| Optimal impulsive control using adaptive dynamic programming and its application in spacecraft rendezvous A Heydari IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4544-4552, 2020 | 36 | 2020 |
| Sub‐optimal switching in anti‐lock brake systems using approximate dynamic programming T Sardarmehni, A Heydari IET Control Theory & Applications 13 (9), 1413-1424, 2019 | 29 | 2019 |
| Feedback solution to optimal switching problems with switching cost A Heydari IEEE Transactions on Neural Networks and Learning Systems 27 (10), 2009-2019, 2015 | 25 | 2015 |
| Adaptive critic-based solution to an orbital rendezvous problem A Heydari, SN Balakrishnan Journal of Guidance, Control, and Dynamics 37 (1), 344-350, 2014 | 25 | 2014 |
| Suboptimal scheduling in switched systems with continuous-time dynamics: A least squares approach T Sardarmehni, A Heydari IEEE transactions on neural networks and learning systems 29 (6), 2167-2178, 2017 | 24 | 2017 |
| Optimal switching with minimum dwell time constraint A Heydari Journal of the Franklin Institute 354 (11), 4498-4518, 2017 | 24 | 2017 |
| Optimal switching of DC–DC power converters using approximate dynamic programming A Heydari IEEE transactions on neural networks and learning systems 29 (3), 586-596, 2016 | 24 | 2016 |
