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	Synergetic Learning Neuro-Control for Unknown Affine Nonlinear Systems With Asymptotic Stability Guarantees 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 11 作者: Zhu, Liao; Wei, Qinglai; Guo, Ping 收藏 \| 浏览/下载：2/0 \| 提交时间：2024/07/03 Approximate dynamic programming (ADP) neural network off-policy optimal control reinforcement learning (RL)
	A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems 期刊论文 NEUROCOMPUTING, 2022, 卷号: 483, 页码: 361-369 作者: Zhong, Weifeng; Wang, Mengxuan; Wei, Qinglai; Lu, Jingwei 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/10 Integral reinforcement learning Nuclear power reactor Nonlinear system Optimal tracking control Neural networks
	Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12 作者: Wang, Ding; Ha, Mingming; Cheng, Long 收藏 \| 浏览/下载：31/0 \| 提交时间：2022/01/27 Trajectory Heuristic algorithms Convergence Trajectory tracking Stability criteria Optimal control Dynamic programming Adaptive critic design discrete-time nonlinear plants neuro-optimal trajectory tracking uniformly ultimately bounded stability value iteration
	A partial policy iteration ADP algorithm for nonlinear neuro-optimal control with discounted total reward 期刊论文 NEUROCOMPUTING, 2021, 卷号: 424, 页码: 23-34 作者: Liang, Mingming; Wei, Qinglai 收藏 \| 浏览/下载：41/0 \| 提交时间：2021/03/15 Adaptive critic designs Adaptive dynamic programming Policy iteration Neural networks Neuro-dynamic programming Nonlinear systems Optimal control
	Adaptive Dynamic Programming for Control: A Survey and Recent Advances 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 142-160 作者: Liu, Derong; Xue, Shan; Zhao, Bo; Luo, Biao; Wei, Qinglai 收藏 \| 浏览/下载：32/0 \| 提交时间：2021/03/08 Adaptive critic designs (ACDs) adaptive dynamic programming approximate dynamic programming intelligent control learning control neural dynamic programming neuro-dynamic programming optimal control reinforcement learning (RL)
	Multiagent Reinforcement Learning:Rollout and Policy Iteration 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 249-272 作者: Dimitri Bertsekas 收藏 \| 浏览/下载：21/0 \| 提交时间：2021/04/09 Dynamic programming multiagent problems neuro-dynamic programming policy iteration reinforcement learning, rollout
	Continuous-Time Time-Varying Policy Iteration 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 12, 页码: 4958-4971 作者: Wei, Qinglai; Liao, Zehua; Yang, Zhanyu; Li, Benkai; Liu, Derong 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/03/02 Optimal control Nonlinear systems Time-varying systems Mathematical model Dynamic programming Approximation algorithms Iterative algorithms Adaptive critic designs adaptive dynamic programming (ADP) neuro-dynamic programming nonlinear systems optimal control policy iteration
	Neuro-optimal control for discrete stochastic processes via a novel policy iteration algorithm 期刊论文 IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 卷号: 50, 期号: 11, 页码: 3972-3985 作者: Liang, Mingming; Wang, Ding; Liu, Derong 收藏 \| 浏览/下载：18/0 \| 提交时间：2020/10/23 Adaptive critic designs adaptive dynamic programming (ADP) local policy iteration neuro-dynamic programming optimal control stochastic processes
	Decentralized robust zero-sum neuro-optimal control for modular robot manipulators in contact with uncertain environments: theory and experimental verification 期刊论文 NONLINEAR DYNAMICS, 2019, 卷号: 97, 期号: 1, 页码: 503-524 作者: Dong, Bo; An, Tianjiao; Zhou, Fan; Liu, Keping; Li, Yuanchun 收藏 \| 浏览/下载：62/0 \| 提交时间：2019/12/16 Modular robot manipulators Adaptive dynamic programming Decentralized control Optimal control Zero-sum game
	Event-Triggered Optimal Neuro-Controller Design With Reinforcement Learning for Unknown Nonlinear Systems. 期刊论文 IEEE Transactions on Systems, Man & Cybernetics. Systems, 2019, 卷号: Vol.49 No.9, 页码: 1866-1878 作者: Yang, X.a; He, H.b; Liu, D.c 收藏 \| 浏览/下载：20/0 \| 提交时间：2019/11/21 Adaptive dynamic programming (ADP) Artificial neural networks Computer architecture Dynamic programming event-triggered control Heuristic algorithms neural networks (NNs) nonlinear systems Optimal control reinforcement learning (RL) Stability analysis

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