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Rushikesh Kamalapurkar
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A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems
S Bhasin, R Kamalapurkar, M Johnson, KG Vamvoudakis, FL Lewis, ...
Automatica 49 (1), 82-92, 2013
5202013
LaSalle-Yoshizawa Corollaries for Nonsmooth Systems
N Fischer, R Kamalapurkar, WE Dixon
IEEE TRANSACTIONS ON AUTOMATIC CONTROL 58 (9), 2333, 2013
2282013
Approximate optimal trajectory tracking for continuous-time nonlinear systems
R Kamalapurkar, H Dinh, S Bhasin, WE Dixon
Automatica 51, 40-48, 2015
1982015
Model-based reinforcement learning for approximate optimal regulation
R Kamalapurkar, P Walters, WE Dixon
Automatica 64, 94-104, 2016
1952016
Integral concurrent learning: Adaptive control with parameter convergence using finite excitation
A Parikh, R Kamalapurkar, WE Dixon
International Journal of Adaptive Control and Signal Processing 33 (12 …, 2019
1672019
Concurrent learning for parameter estimation using dynamic state-derivative estimators
R Kamalapurkar, B Reish, G Chowdhary, WE Dixon
IEEE Transactions on Automatic Control 62 (7), 3594-3601, 2017
1592017
Reinforcement learning for optimal feedback control
R Kamalapurkar, P Walters, J Rosenfeld, W Dixon
Springer International Publishing, 2018
1462018
Model-based reinforcement learning for infinite-horizon approximate optimal tracking
R Kamalapurkar, L Andrews, P Walters, WE Dixon
IEEE transactions on neural networks and learning systems 28 (3), 753-758, 2016
1302016
Time-varying input and state delay compensation for uncertain nonlinear systems
R Kamalapurkar, N Fischer, S Obuz, WE Dixon
IEEE Transactions on Automatic Control 61 (3), 834-839, 2015
1072015
Unknown time-varying input delay compensation for uncertain nonlinear systems
S Obuz, JR Klotz, R Kamalapurkar, W Dixon
Automatica 76, 222-229, 2017
1042017
Saturated RISE feedback control for a class of second-order nonlinear systems
N Fischer, Z Kan, R Kamalapurkar, WE Dixon
IEEE Transactions on automatic control 59 (4), 1094-1099, 2013
932013
Efficient model-based reinforcement learning for approximate online optimal control
R Kamalapurkar, JA Rosenfeld, WE Dixon
Automatica 74, 247-258, 2016
912016
Concurrent learning-based approximate feedback-Nash equilibrium solution of N-player nonzero-sum differential games
R Kamalapurkar, JR Klotz, WE Dixon
IEEE/CAA journal of Automatica Sinica 1 (3), 239-247, 2014
862014
Approximate -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System
M Johnson, R Kamalapurkar, S Bhasin, WE Dixon
IEEE Transactions on Neural Networks and Learning Systems 26 (8), 1645-1658, 2014
752014
Model-based reinforcement learning in differential graphical games
R Kamalapurkar, JR Klotz, P Walters, WE Dixon
IEEE Transactions on Control of Network Systems 5 (1), 423-433, 2016
562016
Dynamic neural network-based robust observers for uncertain nonlinear systems
HT Dinh, R Kamalapurkar, S Bhasin, WE Dixon
Neural Networks 60, 44-52, 2014
542014
Invariance-like results for nonautonomous switched systems
R Kamalapurkar, JA Rosenfeld, A Parikh, AR Teel, WE Dixon
IEEE Transactions on Automatic Control 64 (2), 614-627, 2018
532018
Supporting lemmas for RISE-based control methods
R Kamalapurkar, JA Rosenfeld, J Klotz, RJ Downey, WE Dixon
arXiv preprint arXiv:1306.3432, 2013
492013
Robust identification-based state derivative estimation for nonlinear systems
S Bhasin, R Kamalapurkar, HT Dinh, WE Dixon
IEEE Transactions on Automatic Control 58 (1), 187-192, 2012
472012
Target tracking in the presence of intermittent measurements via motion model learning
A Parikh, R Kamalapurkar, WE Dixon
IEEE Transactions on Robotics 34 (3), 805-819, 2018
412018
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