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浏览/检索结果: 共349条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Stochastic dynamics of aircraft ground taxiing via improved physics-informed neural networks 期刊论文  OAI收割 NONLINEAR DYNAMICS, 2024, 页码: 16 作者:  Zhang, Ying;  Jin, Zhengrong;  Wang L(王笼);  Zheng, Kaixin;  Jia, Wantao   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/02/19 PINNs  Aircraft ground taxiing model  Fokker-Planck equations  Inverse problem   Finite-time Prescribed Performance Time-Varying Formation Control for Second-Order Multi-Agent Systems With Non-Strict Feedback Based on a Neural Network Observer 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1039-1050 作者:  Chi Ma;  Dianbiao Dong   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/03/18 Finite-time control  multi-agent systems  neural network  prescribed performance control  time-varying formation control   A Fractional-Order Ultra-Local Model-Based Adaptive Neural Network Sliding Mode Control of n-DOF Upper-Limb Exoskeleton With Input Deadzone 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 760-781 作者:  Dingxin He;  HaoPing Wang;  Yang Tian;  Yida Guo   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/02/19 Adaptive control  input deadzone  model-free control  n-DOF upper-limb exoskeleton  neural network   Event-Triggered Bipartite Consensus Tracking and Vibration Control of Flexible Timoshenko Manipulators Under Time-Varying Actuator Faults 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1190-1201 作者:  Xiangqian Yao   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/10 Bipartite consensus tracking  event-triggered control  multiple manipulators  neural networks  time-varying actuator faults   Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1227-1238 作者:  Qinchen Yang;  Fukai Zhang;  Cong Wang   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/10 Adaptive neural control (ANC)  deterministic learning (DL)  neural network (NN)  robot manipulators   Event-Triggered-Based Consensus Neural Network Tracking Control for Nonlinear Pure-Feedback Multiagent Systems With Delayed Full-State Constraints 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11 作者:  Wang, Xiao-An;  Zhang, Guang-Ju;  Niu, Ben;  Wang, Ding;  Wang, Xiao-Mei   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/02/22 Nonlinear multiagent systems  delayed full state constraints  event-triggered design  asymptotic tracking control  adaptive control   Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46 作者:  Zhang, Lei;  Park, Chanwook;  Lu, Ye;  Li, Hengyang;  Mojumder, Satyajit   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/01/08 Convolution isogeometric analysis (C-IGA)  Convolution hierarchical deep-learning neural network (C-hiDeNN)  Software 2.0  r-h-p-s-a adaptive finite element method (FEM)  High-order smoothness and convergence   Synergetic learning for unknown nonlinear H. control using neural networks 期刊论文  OAI收割 NEURAL NETWORKS, 2023, 卷号: 168, 页码: 287-299 作者:  Zhu, Liao;  Guo, Ping;  Wei, Qinglai   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/21 H. control  Nonlinear systems  Adaptive dynamic programming  Temporal difference  Neural network  Data-driven   Adaptive neuromuscular control of a simplified muscle tendon-driven musculoskeletal system 期刊论文  OAI收割 ROBOTIC INTELLIGENCE AND AUTOMATION, 2023, 页码: 13 作者:  Fan, Yerui;  Wu, Yaxiong;  Yuan, Jianbo   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/11/15 Musculoskeletal system  Adaptive neuromuscular control  Tendon-driven robot  Disturbance observer   A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot 期刊论文  OAI收割 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1209-1223 作者:  Zhang, Jinhan;  Chen, Jiahao;  Wu, Wei;  Qiao, Hong   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/21 Biologically inspired control  cerebellum-inspired model  motion generation  motion learning  musculoskeletal robot  reinforcement learning