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| Facial-sketch Synthesis: A New Challenge 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 257-287
作者: Deng-Ping Fan; Ziling Huang; Peng Zheng; Hong Liu; Xuebin Qin; Luc Van Gool
 Adobe PDF(12340Kb) |  收藏 | 浏览/下载：4/0 | 提交时间：2024/04/23
Facial sketch synthesis (FSS) facial sketch dataset benchmark attribute style transfer |
| A Novel Disturbance Observer Based Fixed-Time Sliding Mode Control for Robotic Manipulators With Global Fast Convergence 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 661-672
作者: Dan Zhang ; Jiabin Hu; Jun Cheng; Zheng-Guang Wu; Huaicheng Yan
Adobe PDF(5044Kb) | 收藏 | 浏览/下载：38/11 | 提交时间：2024/02/19
Disturbance observer (DO) fixed-time non-singular sliding mode control robotic manipulator trajectory tracking |
| A Dual Closed-Loop Digital Twin Construction Method for Optimizing the Copper Disc Casting Process 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 581-594
作者: Zhaohui Jiang; Chuan Xu; Jinshi Liu; Weichao Luo; Zhiwen Chen; Weihua Gui
 Adobe PDF(16387Kb) | 收藏 | 浏览/下载：25/2 | 提交时间：2024/02/19
Copper disc casting machine digital twin (DT) mechanism modeling self-optimization |
| Fault Estimation for a Class of Markov Jump Piecewise-Affine Systems: Current Feedback Based Iterative Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 418-429
作者: Yanzheng Zhu; Nuo Xu; Fen Wu; Xinkai Chen; Donghua Zhou
Adobe PDF(5104Kb) | 收藏 | 浏览/下载：32/12 | 提交时间：2024/01/23
Current feedback fault estimation iterative learning observer Markov jump piecewise-affine system |
| Practical Prescribed Time Tracking Control With Bounded Time-Varying Gain Under Non-Vanishing Uncertainties 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 219-230
作者: Dahui Luo; Yujuan Wang; Yongduan Song
Adobe PDF(2267Kb) | 收藏 | 浏览/下载：134/83 | 提交时间：2024/01/02
Adaptive control prescribed time control (PTC) strict-feedback systems tracking control |
| An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 88-102
作者: Changbing Tang; Baosen Yang; Xiaodong Xie; Guanrong Chen; Mohammed A. A. Al-qaness; Yang Liu
Adobe PDF(2968Kb) | 收藏 | 浏览/下载：175/131 | 提交时间：2024/01/02
Federated learning (FL) game theory incentive mechanism machine learning zero-determinant strategy |
| Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者: Ding Wang; Ning Gao; Derong Liu; Jinna Li; Frank L. Lewis
Adobe PDF(1945Kb) | 收藏 | 浏览/下载：243/180 | 提交时间：2024/01/02
Adaptive dynamic programming (ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning (RL) |
| Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1797-1809
作者: Ding Wang; Jiangyu Wang; Mingming Zhao; Peng Xin; Junfei Qiao
Adobe PDF(5140Kb) | 收藏 | 浏览/下载：126/52 | 提交时间：2023/08/10
Adaptive critic artificial neural networks Hamilton-Jacobi-Bellman (HJB) equation multi-step heuristic dynamic programming multi-step reinforcement learning optimal control |
| Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1754-1765
作者: Zhijia Zhao; Jian Zhang; Shouyan Chen; Wei He; Keum-Shik Hong
Adobe PDF(10305Kb) | 收藏 | 浏览/下载：99/24 | 提交时间：2023/07/20
Adaptive neural-network control event-triggering mechanism (ETM) finite time two-degree-of-freedom helicopter |
| Development of a Bias Compensating Q-Learning Controller for a Multi-Zone HVAC Facility 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1704-1715
作者: Syed Ali Asad Rizvi; Amanda J. Pertzborn; Zongli Lin
Adobe PDF(4532Kb) | 收藏 | 浏览/下载：127/57 | 提交时间：2023/07/20
HVAC control optimal tracking Q-learning reinforcement learning (RL) |
