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Cybersecurity Landscape on Remote State Estimation: A Comprehensive Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 851-865
作者:  Jing Zhou;  Jun Shang;  Tongwen Chen
Adobe PDF(1169Kb)  |  收藏  |  浏览/下载：12/3  |  提交时间：2024/03/18
Cyber-attacks  Kalman filtering  remote state estimation  unreliable transmission channels  
Feature Matching via Topology-Aware Graph Interaction Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 113-130
作者:  Yifan Lu;  Jiayi Ma;  Xiaoguang Mei;  Jun Huang;  Xiao-Ping Zhang
Adobe PDF(26799Kb)  |  收藏  |  浏览/下载：227/159  |  提交时间：2024/01/02
Feature matching  graph cut  outlier filtering  topology preserving  
Security and Privacy in Solar Insecticidal Lamps Internet of Things: Requirements and Challenges 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 58-73
作者:  Qingsong Zhao;  Lei Shu;  Kailiang Li;  Mohamed Amine Ferrag;  Ximeng Liu;  Yanbin Li
Adobe PDF(3374Kb)  |  收藏  |  浏览/下载：198/150  |  提交时间：2024/01/02
Challenges  Internet of Things (IoT)  privacy and security  security requirements  solar insecticidal lamps (SIL)  
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：171/130  |  提交时间：2024/01/02
Federated learning (FL)  game theory  incentive mechanism  machine learning  zero-determinant strategy  
A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981
作者:  Yong-Chao Li;  Rui-Sheng Jia;  Ying-Xiang Hu;  Hong-Mei Sun
Adobe PDF(10448Kb)  |  收藏  |  浏览/下载：21/8  |  提交时间：2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning  
Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995
作者:  Tao Wang;  Qiming Chen;  Xun Lang;  Lei Xie;  Peng Li;  Hongye Su
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载：26/9  |  提交时间：2024/03/18
Convolutional neural networks (CNNs)  deep learning  image processing  oscillation detection  process industries  
Adaptive Trajectory Tracking Control for Nonholonomic Wheeled Mobile Robots: A Barrier Function Sliding Mode Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1007-1021
作者:  Yunjun Zheng;  Jinchuan Zheng;  Ke Shao;  Han Zhao;  Hao Xie;  Hai Wang
Adobe PDF(32944Kb)  |  收藏  |  浏览/下载：15/3  |  提交时间：2024/03/18
Adaptive sliding mode  barrier function  nonholonomic wheeled mobile robot (NWMR)  trajectory tracking control  
Quantization and Event-Triggered Policy Design for Encrypted Networked Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 946-955
作者:  Yongxia Shi;  Ehsan Nekouei
Adobe PDF(1715Kb)  |  收藏  |  浏览/下载：17/5  |  提交时间：2024/03/18
Cyber-security  encrypted control  event-triggered control (ETC)  networked control systems (NCSs)  semi-homomorphic encryption  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：17/4  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931
作者:  Fei Ming;  Wenyin Gong;  Ling Wang;  Yaochu Jin
Adobe PDF(2091Kb)  |  收藏  |  浏览/下载：20/6  |  提交时间：2024/03/18
Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection