| Neural network control of robot manipulators and non-linear systems FW Lewis, S Jagannathan, A Yesildirak CRC, 1998 | 1674 | 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 | 437 | 2009 |
| Neural network control of nonlinear discrete-time systems J Sarangapani CRC press, 2018 | 419 | 2018 |
| Multilayer discrete-time neural-net controller with guaranteed performance S Jagannathan, FL Lewis IEEE Transactions on Neural Networks 7 (1), 107-130, 1996 | 199 | 1996 |
| 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 | 198 | 2007 |
| 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 | 189 | 2012 |
| 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 | 188* | 2010 |
| Method and apparatus for detecting obstacles using multiple sensors for range selective detection J Sarangapani US Patent 6,055,042, 2000 | 188 | 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 | 174 | 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 | 166 | 2009 |
| Wireless Ad Hoc and Sensor Networks-Protocols, Performance, and Control S Jagannathan CRC Press, 2007 | 163* | 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 | 159* | 2012 |
| Identification of nonlinear dynamical systems using multilayered neural networks S Jagannathan, FL Lewis Automatica 32 (12), 1707-1712, 1996 | 150 | 1996 |
| An improved UPFC control for oscillation damping J Guo, ML Crow, J Sarangapani IEEE transactions on power systems 24 (1), 288-296, 2009 | 144 | 2009 |
| Method and apparatus for comparing machines in fleet DR Schricker, J Sarangapani, DG Young, SM Shetty US Patent 5,737,215, 1998 | 135 | 1998 |
| Discrete-time neural net controller for a class of nonlinear dynamical systems S Jagannathan, FL Lewis IEEE Transactions on Automatic Control 41 (11), 1693-1699, 1996 | 131 | 1996 |
| 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 | 124 | 2011 |
| Neural network control of mobile robot formations using RISE feedback T Dierks, S Jagannathan Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 39 …, 2009 | 124 | 2009 |
| 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 | 122 | 2015 |
| Predictive congestion control protocol for wireless sensor networks M Zawodniok, S Jagannathan IEEE Transactions on Wireless Communications 6 (11), 3955-3963, 2007 | 122 | 2007 |
Hao XuAssistant Professor, University of Nevada, RenoVerified email at unr.edu
