Neural network-based finite-horizon optimal control of uncertain affine nonlinear discrete-time systems Q Zhao, H Xu, S Jagannathan IEEE transactions on neural networks and learning systems 26 (3), 486-499, 2014 | 76 | 2014 |
Finite-horizon near-optimal output feedback neural network control of quantized nonlinear discrete-time systems with input constraint H Xu, Q Zhao, S Jagannathan IEEE Transactions on Neural Networks and Learning Systems 26 (8), 1776-1788, 2015 | 50 | 2015 |
Near optimal output feedback control of nonlinear discrete-time systems based on reinforcement neural network learning Q Zhao, H Xu, S Jagannathan IEEE/CAA Journal of Automatica Sinica 1 (4), 372-384, 2014 | 48 | 2014 |
Finite‐horizon near optimal adaptive control of uncertain linear discrete‐time systems Q Zhao, H Xu, J Sarangapani Optimal Control Applications and Methods 36 (6), 853-872, 2015 | 25 | 2015 |
Optimal control of uncertain quantized linear discrete‐time systems Q Zhao, H Xu, S Jagannathan International Journal of Adaptive Control and Signal Processing 29 (3), 325-345, 2015 | 21 | 2015 |
Optimal regulation of uncertain dynamic systems using adaptive dynamic programming H Xu, Q Zhao, S Jagannathan Journal of Control and Decision 1 (3), 226-256, 2014 | 19 | 2014 |
Assume/guarantee contracts for dynamical systems: Theory and computational tools M Sharf, B Besselink, A Molin, Q Zhao, KH Johansson IFAC-PapersOnLine 54 (5), 25-30, 2021 | 17 | 2021 |
Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems H Xu, Q Zhao, T Dierks, S Jagannathan 2014 American control conference, 1243-1248, 2014 | 9 | 2014 |
Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems Q Zhao, H Xu, T Dierks, S Jagannathan The 2013 international joint conference on neural networks (IJCNN), 1-6, 2013 | 9 | 2013 |
Finite-horizon optimal control design for uncertain linear discrete-time systems Q Zhao, H Xu, S Jagannathan 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2013 | 6 | 2013 |
Adaptive dynamic programming-based state quantized networked control system without value and/or policy iterations Q Zhao, H Xu, S Jagannathan The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012 | 5 | 2012 |
Finite-horizon optimal control of linear and a class of nonlinear systems Q Zhao Missouri University of Science and Technology, 2013 | 3 | 2013 |
Finite-horizon optimal adaptive neural network control of uncertain nonlinear discrete-time systems Q Zhao, H Xu, S Jagannathan 2013 IEEE International Symposium on Intelligent Control (ISIC), 41-46, 2013 | 2 | 2013 |
Fixed final time optimal adaptive control of linear discrete-time systems in input-output form Q Zhao, H Xu, S Jagannathan Journal of Artificial Intelligence and Soft Computing Research 3 (3), 175-187, 2013 | 2 | 2013 |
Optimal adaptive controller scheme for uncertain quantized linear discrete-time system Q Zhao, H Xu, S Jagannathan 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 6132-6137, 2012 | 2 | 2012 |
Fixed final-time near optimal regulation of nonlinear discrete-time systems in affine form using output feedback Q Zhao, H Xu, S Jagannathan 2014 American Control Conference, 4643-4648, 2014 | 1 | 2014 |
Adaptive Gain Observers for Distributed State Estimation of Linear Systems A Sahoo, V Narayanan, Q Zhao 2021 American Control Conference (ACC), 298-303, 2021 | | 2021 |
Failure-Tolerant Contract-Based Design of an Automated Valet Parking System using a Directive-Response Architecture J Graebener, T Phan-Minh, J Yan, Q Zhao, RM Murray arXiv preprint arXiv:2103.12919, 2021 | | 2021 |
Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback A Sahoo, V Narayanan, Q Zhao 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 233-240, 2020 | | 2020 |
θ-D Approach-Based Autonomous Rendezvous Control with Constrainted Aspect Angle Y SHEN, M HOU, Q ZHAO Journal of Astronautics, 2010 | | 2010 |