【当期目录】IEEE/CAAJAS第9卷第3期
2022-04-01 17:12阅读：
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Jun Zhang, Lei Pan, Qing-Long Han, Chao Chen, Sheng Wen
and Yang Xiang, 'Deep Learning Based Attack Detection for
Cyber-Physical System Cybersecurity: A Survey,'
IEEE/CAA J. Autom. Sinica, vol.
9, no. 3, pp. 377-391, Mar. 2022.
doi: 10.1109/JAS.2021.1004261
Conduct an up-to-date review of detecting cyber attacks in
CPSs using DL models and propose a six-step methodology to position
and analyze the surveyed works.
Provide an overview for the state-of-the-art solutions with
preservation of technical details.
Based on the methodology, we discuss the challenges and
future research directions.
Ligang Wu, Jianxing Liu, Sergio Vazquez and Sudip K.
Mazumder, 'Sliding Mode Control in Power
Converters and Drives: A Review,'
IEEE/CAA J. Autom.
Sinica, vol. 9, no. 3, pp. 392-406, Mar. 2022.
doi: 10.1109/JAS.2021.1004380
Briefs the fundamental theory and methodologies of
SMC.
The use of SMC for different types of power electronics
systems are presented.
Future challenges to adopt SMC as an industry solution to
power converters are addressed.
Mohamed Amine Ferrag, Lei Shu, Othmane Friha and Xing Yang,
'Cyber Security Intrusion Detection
for Agriculture 4.0: Machine Learning-Based Solutions, Datasets,
and Future Directions,'
IEEE/CAA J. Autom. Sinica,
vol. 9, no. 3, pp. 407-436, Mar. 2022.
doi: 10.1109/JAS.2021.1004344
Present the cyber security threats and evaluation metrics
used in the performance evaluation of IDSs for Agriculture
4.0.
Provide a comprehensive classification and in-depth analysis
of machine learning and deep learning based IDSs for cyber security
in Agriculture 4.0.
Provide a detailed description of the current best practices,
implementation frameworks, and public datasets used in the
performance evaluation of IDSs for Agriculture 4.0.
Zahra Marvi and Bahare Kiumarsi, 'Barrier-Certified
Learning-Enabled Safe Control Design for Systems Operating in
Uncertain Environments,'
IEEE/CAA J. Autom. Sinica, vol. 9, no. 3, pp.
437-449, Mar. 2022.
doi: 10.1109/JAS.2021.1004347
The problem of safe control design for systems operating in
uncertain shared environments is formulated as two sets of
decoupled dynamics with a safety criterion defined as a function of
both ego and external agent’s states to have a more inclusive
scheme for safety-critical systems operating in cluttered
environment.
A novel learning-enabled ZCBF is proposed which is capable
of safety guarantee during learning of unknown dynamics.
Safety-aware model learning is proposed for rapid
convergence of the approximated safe set to the exact one.
Lujuan Dang, Badong Chen, Yulong Huang, Yonggang Zhang and
Haiquan Zhao, 'Cubature Kalman Filter Under
Minimum Error Entropy With Fiducial Points for INS/GPS
Integration,' IEEE/CAA
J. Autom. Sinica, vol. 9, no. 3, pp. 450-465, Mar. 2022.
doi: 10.1109/JAS.2021.1004350
The MEEF-CKF is developed by applying the minimum error
entropy with fiducial points (MEEF) to CKF, where the MEEF can
automatically locate the peak of the error probability density
function (PDF) at zero and is beneficial for robustness
enhancement.
A novel optimization approach is presented for determining
the free parameters of MEEF-CKF adaptively.
The complexity of MEEF-CKF is analyzed in detail, which
indicates an acceptable burden in comparison with traditional
Kalman filters. In addition, a sufficient condition is provided for
ensuring the convergence of the fixed-point iteration in
MEEF-CKF.
Majid Mazouchi, Subramanya Nageshrao and Hamidreza Modares,
'Conflict-Aware Safe
Reinforcement Learning: A Meta-Cognitive Learning
Framework,' IEEE/CAA J.
Autom. Sinica, vol. 9, no. 3, pp. 466-481, Mar. 2022.
doi: 10.1109/JAS.2021.1004353
The proposed algorithm provides safety and performance
guarantees across a variety of circumstances that the system might
encounter.
The bilevel learning control architecture is utilized.
A higher meta-cognitive layer leverages a data-driven
receding-horizon attentional controller to adapt the relative
attention to different system’s safety and performance
requirements.
Zhiwei Hao, Xiaokui Yue, Haowei Wen and Chuang Liu,
'Full-State-Constrained
Non-Certainty-Equivalent Adaptive Control for Satellite Swarm
Subject to Input Fault,'
IEEE/CAA J. Autom. Sinica, vol. 9, no. 3, pp.
482-495, Mar. 2022.
doi: 10.1109/JAS.2021.1004216
Develop a BLF-DSA controller to stabilize the uncertain
satellite swarm system.
Provide a non-CE adaptive scheme to overcome system
uncertainties and input fault.
Guarantee predefined full-state constraints for satellite
swarm with input fault.
Ruhul Amin Khalil, Nasir Saeed, Mohammad Inayatullah Babar,
Tariqullah Jan and Sadia Din, 'Bayesian Multidimensional
Scaling for Location Awareness in Hybrid-Internet of Underwater
Things,' IEEE/CAA J.
Autom. Sinica, vol. 9, no. 3, pp. 496-509, Mar. 2022.
doi: 10.1109/JAS.2021.1004356
Propose a hybrid BMDS based localization technique that can
work on a fully hybrid IoUT network where the nodes can communicate
using either optical, magnetic induction, and acoustic
technologies.
The proposed algorithm suggests that each sensor node
attempts to search for the overall neighbourhood by utilizing any
of the communication technology and estimate the range to the
adjacent nodes.
Some sensor nodes are not lying in the communication range
of each other and can utilize the available connectiv- ity
information and estimate the missing pairwise ranges.
Bixiao Wu, Junpei Zhong and Chenguang Yang,
'A Visual-Based Gesture
Prediction Framework Applied in Social
Robots,' IEEE/CAA J.
Autom. Sinica, vol. 9, no. 3, pp. 510-519, Mar. 2022.
doi: 10.1109/JAS.2021.1004243
A method for predicting gestures based on the LSTM is
proposed. The data of gestures is collected by the Leap
Motion.
In order to reduce or eliminate the jitter or jump generated
in the process of acquiring data by the Leap Motion, the Kalman
filter is applied to solve this problem effectively.
Propose a reliable feature extraction method, which extracts
coordinate features, length features, angle features and angular
velocity features, and combines these features to predict
gestures.
Lina Xia, Qing Li, Ruizhuo Song and Hamidreza Modares,
'Optimal Synchronization
Control of Heterogeneou
