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浏览/检索结果: 共9条，第1-9条 帮助 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 Tracking of Uncertain Robotic Manipulators Using Event-Triggered Model Predictive Control With Learning Terminal Cost 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 15 作者:  Kang, Erlong;  Qiao, Hong;  Chen, Ziyu;  Gao, Jie 收藏  |  浏览/下载：18/0  |  提交时间：2022/06/06 Robots  Costs  Predictive models  Optimization  Stability analysis  Manipulator dynamics  Predictive control  Model predictive control  robotic manipulator  leaning terminal cost  neural networks  event-triggered mechanism  unknown dynamics   Adaptive local approximation neural network control based on extraordinariness particle swarm optimization for robotic manipulators 期刊论文 Journal of Mechanical Science and Technology, 2022, 卷号: 36, 期号: 3, 页码: 1469-1483 作者:  H. Y. Sai;  Z. B. Xu;  C. Xu;  X. M. Wang;  K. Wang and L. Zhu 收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14 Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies 期刊论文 NEUROCOMPUTING, 2021, 卷号: 463, 页码: 483-494 作者:  Xiong, Tianyi;  Gu, Zhou;  Yi, Jianqiang;  Pu, Zhiqiang 收藏  |  浏览/下载：43/0  |  提交时间：2021/11/04 Directed topologies  Formation control  Fixed-time observer  Multi-agent systems   Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints 期刊论文 ISA TRANSACTIONS, 2021, 卷号: 109, 页码: 89-101 作者:  Kang, Erlong;  Qiao, Hong;  Gao, Jie;  Yang, Wenjing 收藏  |  浏览/下载：64/0  |  提交时间：2021/03/29 Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints   Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157 作者:  Xiong, Tianyi;  Pu, Zhiqiang;  Yi, Jianqiang;  Tao, Xinlong 收藏  |  浏览/下载：50/0  |  提交时间：2020/07/06 neurocontrollers  multi-agent systems  Lyapunov methods  closed loop systems  nonlinear control systems  time-varying systems  adaptive control  observers  uncertain systems  position control  radial basis function networks  robust control  control system synthesis  learning (artificial intelligence)  minimal learning-parameter approach  fixed-time CLSO  time-varying formation tracking problem  formation tracking control scheme  multiagent systems  time-varying formation tracking control problem  model uncertainties  velocity measurements  radial basis function neural networks  fixed-time cascaded leader state observer  fixed-time observer-based adaptive neural network time-varying formation tracking control  RBFNN-based adaptive control scheme   Estimation of human impedance and motion intention for constrained human-robot interaction 期刊论文 NEUROCOMPUTING, 2020, 卷号: 390, 页码: 268-279 作者:  Yu, Xinbo;  Li, Yanan;  Zhang, Shuang;  Xue, Chengqian;  Wang, Yu 收藏  |  浏览/下载：19/0  |  提交时间：2020/06/22 Human motion intention estimation  Impedance learning  Adaptive neural network control  Full-state constraints  Barrier Lyapunov functions   Adaptive RBFNNs/integral sliding mode control for a quadrotor aircraft 期刊论文 Neurocomputing, 2016, 卷号: Vol.216, 页码: 126-134 作者:  Li, Shushuai;  Wang, Yaonan;  Tan, Jianhao;  Zheng, Yan 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 Quadrotor aircrafts  Adaptive RBFNNs control  Double-loop integral sliding mode control  Hierarchical control   Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 6, 页码: 1217-1226 作者:  Chen, C. L. Philip;  Wen, Guo-Xing;  Liu, Yan-Jun;  Wang, Fei-Yue 收藏  |  浏览/下载：71/0  |  提交时间：2015/08/12 Consensus control  Lyapunov-Krasovskii functional  neural networks (NNs)  nonlinear multiagent systems  time delay   Adaptive robust RBFNNs-based model estimator for a small quadrotor aircraft robot 会议论文 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). Proceedings, 2016 作者:  Zhong, H;  Li, SS;  Wang, YN;  Liu, HJ;  IEEE 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 Quadrotor  model estimator  RBFNNs  adaptive learning rate  Welsch functions