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| Sliding Mode Control for Nonlinear Markovian Jump Systems Under Denial-of-Service Attacks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 6, 页码: 1638-1648
作者: Lei Liu; Lifeng Ma; Jie Zhang; Yuming Bo
 浏览 |  Adobe PDF(2092Kb) |  收藏 | 浏览/下载：220/64 | 提交时间：2021/03/11
Denial-of-service (DoS) attacks Markovian jump systems (MJSs) networked control systems (NCSs) sliding mode control (SMC) |
| Scalable Clock Synchronization Analysis: A Symmetric Noncooperative Output Feedback Tubes-MPC Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 6, 页码: 1604-1626
作者: Ting Wang; Xiaoquan Xu; Xiaoming Tang
浏览 | Adobe PDF(4517Kb) | 收藏 | 浏览/下载：156/44 | 提交时间：2021/03/11
Affine system clock synchronization model predictive control output feedback |
| An Improved Torque Sensorless Speed Control Method for Electric Assisted Bicycle With Consideration of Coordinate Conversion 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 6, 页码: 1575-1584
作者: Tinghua Li; Qinghua Yang; Xiaowei Tu; Bin Ren
浏览 | Adobe PDF(3347Kb) | 收藏 | 浏览/下载：127/57 | 提交时间：2021/03/11
Coordinate conversion disturbance observer electric assisted power inertial measurement unit speed control |
| Neural-Network-Based Nonlinear Model Predictive Tracking Control of a Pneumatic Muscle Actuator-Driven Exoskeleton 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 6, 页码: 1478-1488
作者: Yu Cao; Jian Huang
浏览 | Adobe PDF(9613Kb) | 收藏 | 浏览/下载：148/53 | 提交时间：2021/03/11
Echo state Gaussian process model predictive control neural network pneumatic muscle actuators-driven exoskeleton |
| The Fuzzy Neural Network Control Scheme with H∞ Tracking Characteristic of Space Robot System with Dual-arm after Capturing a Spin Spacecraft 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1417-1424
作者: Jing Cheng; Li Chen
浏览 | Adobe PDF(2289Kb) | 收藏 | 浏览/下载：130/41 | 提交时间：2021/03/11
Capturing operation calm motion control closed chain system dual-arm space robot recurrent fuzzy neural network HH∞ tracking characteristic. |
| Variational Inference Based Kernel Dynamic Bayesian Networks for Construction of Prediction Intervals for Industrial Time Series With Incomplete Input 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1429-1437
作者: Long Chen; Linqing Wang; Zhongyang Han; Jun Zhao; Wei Wang
浏览 | Adobe PDF(1543Kb) | 收藏 | 浏览/下载：156/41 | 提交时间：2021/03/11
Industrial time series kernel dynamic Bayesian networks (KDBN) prediction intervals (PIs) variational inference |
| Finite-time Control of Discrete-time Systems With Variable Quantization Density in Networked Channels 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1394-1402
作者: Yiming Cheng; Xu Zhang; Tianhe Liu; Changhong Wang
浏览 | Adobe PDF(1668Kb) | 收藏 | 浏览/下载：134/51 | 提交时间：2021/03/11
Finite-time ${\cal H}_{\infty }$ controller design quantization-error-dependent Lyapunov function quantized signal |
| A Hybrid Brain-Computer Interface for Closed-Loop Position Control of a Robot Arm 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1344-1360
作者: Arnab Rakshit; Amit Konar; Atulya K. Nagar
浏览 | Adobe PDF(3027Kb) | 收藏 | 浏览/下载：131/44 | 提交时间：2021/03/11
Brain-computer interfacing (BCI) electroencephalography (EEG) Jaco robot arm motor imagery P300 steady-state visually evoked potential (SSVEP) |
| Secure Impulsive Synchronization in Lipschitz-Type Multi-Agent Systems Subject to Deception Attacks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1326-1334
作者: Wangli He; Zekun Mo; Qing-Long Han; Feng Qian
浏览 | Adobe PDF(2946Kb) | 收藏 | 浏览/下载：147/51 | 提交时间：2021/03/11
Deception attacks impulsive control multi-agent systems (MASs) synchronization |
| Resilient Fault Diagnosis Under Imperfect Observations–A Need for Industry 4.0 Era 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1279-1288
作者: Alejandro White; Ali Karimoddini; Mohammad Karimadini
浏览 | Adobe PDF(6170Kb) | 收藏 | 浏览/下载：165/62 | 提交时间：2021/03/11
Cyber-physical systems discrete event systems fault diagnosis imperfect communication imperfect observation Industry 4.0 resilience |
