• Reference Citation Analysis
  • v
  • v
  • Find an Article
Find an Article PDF (4601863)   Today's Articles (487)   Subscriber (49366)
For: Luo B, Yang Y, Liu D. Adaptive -Learning for Data-Based Optimal Output Regulation With Experience Replay. IEEE Trans Cybern 2018;48:3337-3348. [PMID: 29994038 DOI: 10.1109/tcyb.2018.2821369] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Number Cited by Other Article(s)
1
Wang J, Wang W, Liang X. Finite-horizon optimal secure tracking control under denial-of-service attacks. ISA TRANSACTIONS 2024;149:44-53. [PMID: 38692974 DOI: 10.1016/j.isatra.2024.04.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 04/23/2024] [Accepted: 04/23/2024] [Indexed: 05/03/2024]
2
Yuan Y, Xu X, Yang C, Luo B, Dubljevic S. Concurrent Learning Robust Adaptive Fault Tolerant Boundary Regulation of Hyperbolic Distributed Parameter Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024;35:6286-6300. [PMID: 36449581 DOI: 10.1109/tnnls.2022.3224245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
3
Jiang X, Huang M, Shi H, Wang X, Zhang Y. Off-policy two-dimensional reinforcement learning for optimal tracking control of batch processes with network-induced dropout and disturbances. ISA TRANSACTIONS 2024;144:228-244. [PMID: 38030447 DOI: 10.1016/j.isatra.2023.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 10/07/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023]
4
Cheng Y, Huang L, Chen CLP, Wang X. Robust Actor-Critic With Relative Entropy Regulating Actor. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023;34:9054-9063. [PMID: 35286268 DOI: 10.1109/tnnls.2022.3155483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
5
Mu C, Peng J, Sun C. Hierarchical Multiagent Formation Control Scheme via Actor-Critic Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023;34:8764-8777. [PMID: 35302940 DOI: 10.1109/tnnls.2022.3153028] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
6
Shi H, Wang M, Wang C. Leader-Follower Formation Learning Control of Discrete-Time Nonlinear Multiagent Systems. IEEE TRANSACTIONS ON CYBERNETICS 2023;53:1184-1194. [PMID: 34606467 DOI: 10.1109/tcyb.2021.3110645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
7
Lin M, Zhao B, Liu D. Policy gradient adaptive dynamic programming for nonlinear discrete-time zero-sum games with unknown dynamics. Soft comput 2023. [DOI: 10.1007/s00500-023-07817-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
8
Wang D, Ren J, Ha M. Discounted linear Q-learning control with novel tracking cost and its stability. Inf Sci (N Y) 2023. [DOI: 10.1016/j.ins.2023.01.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
9
Xue S, Luo B, Liu D, Gao Y. Neural network-based event-triggered integral reinforcement learning for constrained H tracking control with experience replay. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.09.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
10
Gao X, Si J, Wen Y, Li M, Huang H. Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022;33:5873-5887. [PMID: 33956634 DOI: 10.1109/tnnls.2021.3071727] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
11
Assawinchaichote W, Pongfai J, Zhang H, Shi Y. Optimal design of a nonlinear control system based on new deterministic neural network scheduling. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.07.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
12
Wei Q, Ma H, Chen C, Dong D. Deep Reinforcement Learning With Quantum-Inspired Experience Replay. IEEE TRANSACTIONS ON CYBERNETICS 2022;52:9326-9338. [PMID: 33600343 DOI: 10.1109/tcyb.2021.3053414] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
13
Moghadam R, Natarajan P, Jagannathan S. Online Optimal Adaptive Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022;33:4840-4850. [PMID: 33710960 DOI: 10.1109/tnnls.2021.3061414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
14
Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation. Neural Netw 2022;152:212-223. [DOI: 10.1016/j.neunet.2022.04.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 04/04/2022] [Accepted: 04/14/2022] [Indexed: 11/20/2022]
15
Wen S, Ni X, Wang H, Zhu S, Shi K, Huang T. Observer-Based Adaptive Synchronization of Multiagent Systems With Unknown Parameters Under Attacks. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022;33:3109-3119. [PMID: 33513114 DOI: 10.1109/tnnls.2021.3051017] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
16
Yu X, Hou Z, Polycarpou MM. A Data-Driven ILC Framework for a Class of Nonlinear Discrete-Time Systems. IEEE TRANSACTIONS ON CYBERNETICS 2022;52:6143-6157. [PMID: 33571102 DOI: 10.1109/tcyb.2020.3029596] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
17
Fu Y, Hong C, Fu J, Chai T. Approximate Optimal Tracking Control of Nondifferentiable Signals for a Class of Continuous-Time Nonlinear Systems. IEEE TRANSACTIONS ON CYBERNETICS 2022;52:4441-4450. [PMID: 33141675 DOI: 10.1109/tcyb.2020.3027344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
18
Yuan L, Li T, Tong S, Xiao Y, Gao X. NN adaptive optimal tracking control for a class of uncertain nonstrict feedback nonlinear systems. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.03.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
19
Wen X, Shi H, Su C, Jiang X, Li P, Yu J. Novel data-driven two-dimensional Q-learning for optimal tracking control of batch process with unknown dynamics. ISA TRANSACTIONS 2022;125:10-21. [PMID: 34130858 DOI: 10.1016/j.isatra.2021.06.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 06/04/2021] [Accepted: 06/04/2021] [Indexed: 06/12/2023]
20
Ye J, Bian Y, Luo B, Hu M, Xu B, Ding R. Costate-Supplement ADP for Model-Free Optimal Control of Discrete-Time Nonlinear Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022;PP:45-59. [PMID: 35544498 DOI: 10.1109/tnnls.2022.3172126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
21
Wang N, Gao Y, Yang C, Zhang X. Reinforcement learning-based finite-time tracking control of an unknown unmanned surface vehicle with input constraints. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2021.04.133] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
22
Lv P, Wang X, Cheng Y, Duan Z, Chen CLP. Integrated Double Estimator Architecture for Reinforcement Learning. IEEE TRANSACTIONS ON CYBERNETICS 2022;52:3111-3122. [PMID: 33027028 DOI: 10.1109/tcyb.2020.3023033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
23
Rizvi SAA, Lin Z. Adaptive Dynamic Programming for Model-Free Global Stabilization of Control Constrained Continuous-Time Systems. IEEE TRANSACTIONS ON CYBERNETICS 2022;52:1048-1060. [PMID: 32471805 DOI: 10.1109/tcyb.2020.2989419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
24
Li J, Ding J, Chai T, Lewis FL, Jagannathan S. Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022;33:270-280. [PMID: 33112750 DOI: 10.1109/tnnls.2020.3027653] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
25
Wen G, Chen CLP, Ge SS. Simplified Optimized Backstepping Control for a Class of Nonlinear Strict-Feedback Systems With Unknown Dynamic Functions. IEEE TRANSACTIONS ON CYBERNETICS 2021;51:4567-4580. [PMID: 32639935 DOI: 10.1109/tcyb.2020.3002108] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
26
Learn to grasp unknown objects in robotic manipulation. INTEL SERV ROBOT 2021. [DOI: 10.1007/s11370-021-00380-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
27
Liu C, Zhang H, Sun S, Ren H. Online H control for continuous-time nonlinear large-scale systems via single echo state network. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.03.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
28
Adaptive output-feedback optimal control for continuous-time linear systems based on adaptive dynamic programming approach. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.01.070] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
29
Singh B, Kumar R, Singh VP. Reinforcement learning in robotic applications: a comprehensive survey. Artif Intell Rev 2021. [DOI: 10.1007/s10462-021-09997-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
30
Approximate optimal control for an uncertain robot based on adaptive dynamic programming. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2020.10.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
31
Nguyen TT, Nguyen ND, Nahavandi S. Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications. IEEE TRANSACTIONS ON CYBERNETICS 2020;50:3826-3839. [PMID: 32203045 DOI: 10.1109/tcyb.2020.2977374] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
32
Jiang H, Zhang H, Xie X. Critic-only adaptive dynamic programming algorithms' applications to the secure control of cyber-physical systems. ISA TRANSACTIONS 2020;104:138-144. [PMID: 30853105 DOI: 10.1016/j.isatra.2019.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 01/22/2019] [Accepted: 02/14/2019] [Indexed: 06/09/2023]
33
Integral reinforcement learning based event-triggered control with input saturation. Neural Netw 2020;131:144-153. [PMID: 32771844 DOI: 10.1016/j.neunet.2020.07.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 06/13/2020] [Accepted: 07/10/2020] [Indexed: 11/20/2022]
34
Integrated adaptive dynamic programming for data-driven optimal controller design. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.04.095] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
35
Davoud S, Gao W, Riveros-Perez E. Adaptive optimal target controlled infusion algorithm to prevent hypotension associated with labor epidural: An adaptive dynamic programming approach. ISA TRANSACTIONS 2020;100:74-81. [PMID: 31813558 DOI: 10.1016/j.isatra.2019.11.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 11/11/2019] [Accepted: 11/12/2019] [Indexed: 06/10/2023]
36
Zhang Y, Zhao B, Liu D. Deterministic policy gradient adaptive dynamic programming for model-free optimal control. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2019.11.032] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
PrevPage 1 of 1 1Next
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA