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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 发表日期：2022     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A Novel Data-Based Fault-Tolerant Control Method for Multicontroller Linear Systems via Distributed Policy Iteration 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11 作者:  Wei, Qinglai;  Li, Hongyang;  Li, Tao;  Wang, Fei-Yue 收藏  |  浏览/下载：13/0  |  提交时间：2023/02/22 Fault tolerant systems  Fault tolerance  Linear systems  Control systems  Actuators  Optimal control  Mathematical models  Distributed policy iteration  fault-tolerant control  multicontroller linear systems  optimal control   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   Model-Free Reinforcement Learning by Embedding an Auxiliary System for Optimal Control of Nonlinear Systems 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 4, 页码: 1520-1534 作者:  Xu, Zhenhui;  Shen, Tielong;  Cheng, Daizhan 收藏  |  浏览/下载：15/0  |  提交时间：2022/06/21 Mathematical model  Trajectory  Heuristic algorithms  Optimal control  System dynamics  Artificial neural networks  Convergence  Approximate optimal control design  auxiliary trajectory  completely model-free  integral reinforcement learning (IRL)   Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241 作者:  Zhu, Yuanheng;  Zhao, Dongbin 收藏  |  浏览/下载：16/0  |  提交时间：2022/06/10 Games  Nash equilibrium  Mathematical model  Markov processes  Convergence  Dynamic programming  Training  Deep reinforcement learning (DRL)  generalized policy iteration (GPI)  Markov game (MG)  Nash equilibrium  Q network  zero sum