| Neural network control of robot manipulators and non-linear systems FW Lewis, S Jagannathan, A Yesildirak CRC, 1998 | 2376* | 1998 |
| Output feedback control of a quadrotor UAV using neural networks T Dierks, S Jagannathan IEEE transactions on neural networks 21 (1), 50-66, 2009 | 673 | 2009 |
| Neural network control of nonlinear discrete-time systems J Sarangapani CRC press, 2018 | 602 | 2018 |
| A comprehensive survey on model compression and acceleration T Choudhary, V Mishra, A Goswami, J Sarangapani Artificial Intelligence Review 53, 5113-5155, 2020 | 533 | 2020 |
| Optimal control of affine nonlinear continuous-time systems using an online Hamilton-Jacobi-Isaacs formulation T Dierks, S Jagannathan Decision and Control (CDC), 2010 49th IEEE Conference on, 3048-3053, 2010 | 281* | 2010 |
| Neural network-based event-triggered state feedback control of nonlinear continuous-time systems A Sahoo, H Xu, S Jagannathan IEEE Transactions on Neural Networks and Learning Systems 27 (3), 497-509, 2015 | 279 | 2015 |
| Online optimal control of affine nonlinear discrete-time systems with unknown internal dynamics by using time-based policy update T Dierks, S Jagannathan IEEE Transactions on Neural Networks and Learning Systems 23 (7), 1118-1129, 2012 | 263 | 2012 |
| Reinforcement learning neural-network-based controller for nonlinear discrete-time systems with input constraints P He, S Jagannathan Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 37 …, 2007 | 262 | 2007 |
| Stochastic optimal control of unknown networked control systems in the presence of random delays and packet losses FLL Hao Xu, S. Jagannathan Automatica 18 (6), 1017-1030, 2012 | 251* | 2012 |
| Multilayer discrete-time neural-net controller with guaranteed performance S Jagannathan, FL Lewis IEEE Transactions on Neural Networks 7 (1), 107-130, 1996 | 225 | 1996 |
| Method and apparatus for detecting obstacles using multiple sensors for range selective detection J Sarangapani US Patent 6,055,042, 2000 | 223 | 2000 |
| Generalized Hamilton–Jacobi–Bellman formulation-based neural network control of affine nonlinear discrete-time systems Z Chen, S Jagannathan IEEE Transactions on Neural Networks 19 (1), 90-106, 2008 | 215 | 2008 |
| Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence T Dierks, BT Thumati, S Jagannathan Neural Networks 22 (5-6), 851-860, 2009 | 212 | 2009 |
| Reinforcement learning controller design for affine nonlinear discrete-time systems using online approximators Q Yang, S Jagannathan IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011 | 199 | 2011 |
| Wireless Ad Hoc and Sensor Networks-Protocols, Performance, and Control S Jagannathan CRC Press, 2007 | 199* | 2007 |
| Comparison of combinational and sequential error rates for a deep submicron process NN Mahatme, S Jagannathan, TD Loveless, LW Massengill, BL Bhuva, ... IEEE Transactions on Nuclear Science 58 (6), 2719-2725, 2011 | 188 | 2011 |
| An improved UPFC control for oscillation damping J Guo, ML Crow, J Sarangapani IEEE transactions on power systems 24 (1), 288-296, 2009 | 178 | 2009 |
| Identification of nonlinear dynamical systems using multilayered neural networks S Jagannathan, FL Lewis Automatica 32 (12), 1707-1712, 1996 | 170 | 1996 |
| Neural network-based optimal adaptive output feedback control of a helicopter UAV D Nodland, H Zargarzadeh, S Jagannathan IEEE transactions on neural networks and learning systems 24 (7), 1061-1073, 2013 | 167 | 2013 |
| Predictive congestion control protocol for wireless sensor networks M Zawodniok, S Jagannathan IEEE Transactions on Wireless Communications 6 (11), 3955-3963, 2007 | 161 | 2007 |
Hao XuAssociate Professor, University of Nevada, Renounr.edu의 이메일 확인됨