These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
287 related items for PubMed ID: 24808214
1. Finite-horizon control-constrained nonlinear optimal control using single network adaptive critics. Heydari A, Balakrishnan SN. IEEE Trans Neural Netw Learn Syst; 2013 Jan; 24(1):145-57. PubMed ID: 24808214 [Abstract] [Full Text] [Related]
2. Finite-Horizon Near-Optimal Output Feedback Neural Network Control of Quantized Nonlinear Discrete-Time Systems With Input Constraint. Xu H, Zhao Q, Jagannathan S. IEEE Trans Neural Netw Learn Syst; 2015 Aug; 26(8):1776-88. PubMed ID: 25794403 [Abstract] [Full Text] [Related]
3. A policy iteration approach to online optimal control of continuous-time constrained-input systems. Modares H, Naghibi Sistani MB, Lewis FL. ISA Trans; 2013 Sep; 52(5):611-21. PubMed ID: 23706414 [Abstract] [Full Text] [Related]
4. Online optimal control of affine nonlinear discrete-time systems with unknown internal dynamics by using time-based policy update. Dierks T, Jagannathan S. IEEE Trans Neural Netw Learn Syst; 2012 Jul; 23(7):1118-29. PubMed ID: 24807137 [Abstract] [Full Text] [Related]
5. Finite-Horizon Approximate Optimal Guaranteed Cost Control of Uncertain Nonlinear Systems With Application to Mars Entry Guidance. Wu HN, Li MM, Guo L. IEEE Trans Neural Netw Learn Syst; 2015 Jul; 26(7):1456-67. PubMed ID: 25163073 [Abstract] [Full Text] [Related]
6. Actor-critic-based optimal tracking for partially unknown nonlinear discrete-time systems. Kiumarsi B, Lewis FL. IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):140-51. PubMed ID: 25312944 [Abstract] [Full Text] [Related]
7. Reinforcement-learning-based dual-control methodology for complex nonlinear discrete-time systems with application to spark engine EGR operation. Shih P, Kaul BC, Jagannathan S, Drallmeier JA. IEEE Trans Neural Netw; 2008 Aug; 19(8):1369-88. PubMed ID: 18701368 [Abstract] [Full Text] [Related]
8. Neural network-based finite-horizon optimal control of uncertain affine nonlinear discrete-time systems. Zhao Q, Xu H, Jagannathan S. IEEE Trans Neural Netw Learn Syst; 2015 Mar; 26(3):486-99. PubMed ID: 25720005 [Abstract] [Full Text] [Related]
11. Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence. Dierks T, Thumati BT, Jagannathan S. Neural Netw; 2009 Mar; 22(5-6):851-60. PubMed ID: 19596551 [Abstract] [Full Text] [Related]
14. Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach. Chaoxu Mu, Ding Wang, Haibo He. IEEE Trans Cybern; 2018 Oct; 48(10):2948-2961. PubMed ID: 29028219 [Abstract] [Full Text] [Related]
15. Decentralized optimal control of a class of interconnected nonlinear discrete-time systems by using online Hamilton-Jacobi-Bellman formulation. Mehraeen S, Jagannathan S. IEEE Trans Neural Netw; 2011 Nov; 22(11):1757-69. PubMed ID: 21965197 [Abstract] [Full Text] [Related]
16. Neural network-based finite horizon stochastic optimal control design for nonlinear networked control systems. Xu H, Jagannathan S. IEEE Trans Neural Netw Learn Syst; 2015 Mar; 26(3):472-85. PubMed ID: 25720004 [Abstract] [Full Text] [Related]