中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共4条，第1-4条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Parallel Vision for Intelligent Transportation Systems in Metaverse: Challenges, Solutions, and Potential Applications 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 14
作者:  Zhang, Hui;  Luo, Guiyang;  Li, Yidong;  Wang, Fei-Yue
收藏  |  浏览/下载：203/0  |  提交时间：2023/02/22
Intelligent transportation system (ITS)  metaverse  parallel vision  
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：223/0  |  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  
An Agent-Based Traffic Recommendation System: Revisiting and Revising Urban Traffic Management Strategies 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 13
作者:  Jin, Junchen;  Rong, Dingding;  Pang, Yuqi;  Ye, Peijun;  Ji, Qingyuan;  Wang, Xiao;  Wang, Ge;  Wang, Fei-Yue
收藏  |  浏览/下载：273/0  |  提交时间：2022/07/25
Switches  Control systems  Timing  Task analysis  Behavioral sciences  Analytical models  Research and development  Agent-based recommendation system  deep recommendation  human-in-the-loop  operation on-demand  traffic management strategies  
Discrete-Time Self-Learning Parallel Control 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 1, 页码: 192-204
作者:  Wei, Qinglai;  Wang, Lingxiao;  Lu, Jingwei;  Wang, Fei-Yue
收藏  |  浏览/下载：246/0  |  提交时间：2022/02/16
Optimal control  Nonlinear systems  Time-varying systems  Performance analysis  Complex systems  Biological neural networks  ACP  adaptive dynamic programming (ADP)  approximate dynamic programming  nonlinear systems  optimal control  parallel control  reinforcement learning