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浏览/检索结果: 共16条，第1-10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 quantized output feedback MRAC scheme for discrete-time linear systems 期刊论文 AUTOMATICA, 2022, 卷号: 145, 页码: 10 作者:  Zhang, Yanjun;  Zhang, Ji-Feng 收藏  |  浏览/下载：10/0  |  提交时间：2023/02/07 Model reference adaptive control  Discrete-time  Output tracking  Quantized output feedback   Quantized-output feedback model reference control of discrete-time linear systems 期刊论文 AUTOMATICA, 2022, 卷号: 137, 页码: 8 作者:  Zhang, Yanjun;  Zhang, Ji-Feng;  Liu, Xiao-Kang;  Liu, Zhen 收藏  |  浏览/下载：15/0  |  提交时间：2022/07/25 Model reference control  Discrete-time  Output tracking  Quantized-output feedback   Finite-Time Stability Control of Uncertain Nonlinear Systems With Self-Limiting Control Terms 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 6 作者:  Zhu, Jiaming;  Yang, Yuequan;  Zhang, Tianping;  Cao, Zhiqiang 收藏  |  浏览/下载：15/0  |  提交时间：2022/06/06 Artificial neural networks  Nonlinear systems  Control systems  Adaptive systems  Backstepping  Biological neural networks  Trajectory  Backstepping  dynamic surface control (DSC)  finite-time tracking  neural network (NN)  self-limiting term   Adaptive Finite-Time Control Scheme for Teleoperation With Time-Varying Delay and Uncertainties 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 3, 页码: 1552-1566 作者:  Zhang, Haochen;  Song, Aiguo;  Li, Huijun;  Chen, Dapeng;  Fan, Liqiang 收藏  |  浏览/下载：17/0  |  提交时间：2022/04/21 Force  Robots  Uncertainty  Adaptation models  Delays  Adaptive control  Torque  Adaptive control  communication delay  finite-time control  position  force tracking  teleoperation   Quantized-output feedback model reference control of discrete-time linear systems 期刊论文 AUTOMATICA, 2022, 卷号: 137, 页码: 8 作者:  Zhang, Yanjun;  Zhang, Ji-Feng;  Liu, Xiao-Kang;  Liu, Zhen 收藏  |  浏览/下载：6/0  |  提交时间：2023/02/07 Model reference control  Discrete-time  Output tracking  Quantized-output feedback   Dynamic Event-Triggered Scheduling and Platooning Control Co-Design for Automated Vehicles Over Vehicular Ad-Hoc Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 31-46 作者:  Xiaohua Ge;  Shunyuan Xiao;  Qing-Long Han;  Xian-Ming Zhang;  Derui Ding 收藏  |  浏览/下载：89/0  |  提交时间：2021/11/03 Automated vehicles  dynamic event-triggered communication  information flow topology  platooning control  vehicular ad-hoc networks (VANETs)   Hierarchical Cooperative Control of Connected Vehicles: From Heterogeneous Parameters to Heterogeneous Structures 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1590-1602 作者:  Manjiang Hu;  Lingkun Bu;  Yougang Bian;  Hongmao Qin;  Ning Sun 收藏  |  浏览/下载：14/0  |  提交时间：2022/08/19 Communication delay  connected vehicle (CV)  heterogeneity  string stability  vehicle platoon   A PD-Type State-Dependent Riccati Equation With Iterative Learning Augmentation for Mechanical Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1499-1511 作者:  Saeed Rafee Nekoo;  José Ángel Acosta;  Guillermo Heredia;  Anibal Ollero 收藏  |  浏览/下载：22/0  |  提交时间：2022/08/01 Closed-loop  iterative learning control (ILC)  PD-type  SDRE  SDDRE  symmetric   Event-triggered finite-time control for a class of switched nonlinear systems 期刊论文 INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 页码: 1-15 作者:  Yang, Tingting;  Kang HB(康浩博);  Ma HJ(马宏军) 收藏  |  浏览/下载：19/0  |  提交时间：2022/01/13 backstepping method  event-triggered  finite-time control  globally finite-time stable  switched nonlinear systems   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：39/0  |  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