【当期目录】IEEE/CAA JAS 第8卷 第9期

已有 229 次阅读 2021-9-10 14:32 |系统分类:博客资讯





美国University of Texas at San Antonio,University of Illinois at Chicago;

澳大利亚University of New South Wales,Royal Melbourne Institute of Technology;



Mohamed Amine Ferrag, Lei Shu and Kim-Kwang Raymond Choo, "Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1477-1499, Sept. 2021.

doi: 10.1109/JAS.2021.1004087

✦ IoT-based COVID-19 and pandemic preventative solutions (e.g., vaccine supply chain).

✦ Blockchain-based healthcare and/or pandemic monitoring solutions.

✦ Machine learning-based approaches to detecting and preventing outbreaks.

Fan Xu and Hesheng Wang, "Soft Robotics: Morphology and Morphology-inspired Motion Strategy," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1500-1522, Sept. 2021.

doi: 10.1109/JAS.2021.1004105

✦ This paper aims to brief the progress of soft robotic research for readers interested in this field.

✦ Clarifying how a control algorithm can be yielded dependent on morphology and working environment.

✦ Interpreting the relationship between morphology and morphology-dependent motion strategy.


Samuel Harford, Fazle Karim and Houshang Darabi, "Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1523-1538, Sept. 2021.

doi: 10.1109/JAS.2021.1004108

✦ Extends GATN by incorporating a VAE to attack multivariate time series classifiers, MGATN.

✦ MGATN generates black-box and white-box adversaries on two multivariate time series classifiers.

✦ MGATN outperforms prior adversarial generators for time series classifiers.

Mohammad Saeed Sarafraz and Mohammad Saleh Tavazoei, "A Unified Optimization-Based Framework to Adjust Consensus Convergence Rate and Optimize the Network Topology in Uncertain Multi-Agent Systems," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1539-1548, Sept. 2021.

doi: 10.1109/JAS.2021.1004111

✦ A unified optimization-based framework is introduced for simultaneously optimizing the network topology and synthesizing a controller such that the consensus in an uncertain multi-agent system ensured.

✦ It us assumed that the considered multi-agent system is described by an uncertain state- space model in which the involved matrices belong to some matrix boxes.

✦ A relaxation proposed such that the introduced optimization program can be solved using regular LMI solvers.

Peide Liu and Hui Gao, "A Novel Green Supplier Selection Method Based on the Interval Type-2 Fuzzy Prioritized Choquet Bonferroni Means," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1549-1566, Sept. 2021.

doi: 10.1109/JAS.2020.1003444

✦ The IT2FSs are applied to express the uncertainties of the GSS since they have obvious advantage of dealing with high order uncertainties more precisely.

✦ IT2FPCNWBM with λ fuzzy measure and GPM by combining PA operator, CI operator and BM operator are proposed respectively, so as to consider interactions, interrelationships and prioritizations over the criteria simultaneously.

✦ A novel GSS method based on the presented aggregation operators is developed.

Guowei Dong, Liang Cao, Deyin Yao, Hongyi Li and Renquan Lu, "Adaptive Attitude Control for Multi-MUAV Systems With Output Dead-Zone and Actuator Fault," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1567-1575, Sept. 2021. 

doi: 10.1109/JAS.2020.1003605

✦ The leader-following consensus anti-disturbance and fault-tolerant control scheme is developed for the multi-MUAV attitude systems under a directed communication graph.

✦ By introducing neural networks, the effect of unknown nonlinearity in multi-MUAV systems is disposed. 

✦ Different from most existing results, in this paper, the developed fault-tolerant controller can effectively solve the tracking control problem of the multi-MUAV attitude systems under output dead-zone, external disturbance and actuator fault.

Tongfu He and Zhong Wu, "Iterative Learning Disturbance Observer Based Attitude Stabilization of Flexible Spacecraft Subject to Complex Disturbances and Measurement Noises," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1576-1587, Sept. 2021. 

doi: 10.1109/JAS.2021.1003958

✦ An iterative learning disturbance observer (ILDO) is proposed for flexible spacecrafts.

✦ ILDO shows high accuracy in disturbance estimation and strong robustness to measurement noises.

✦ ILDO based composite controller can stabilize spacecraft with high accuracy and high stability.

Wen-Ting Lin, Yan-Wu Wang, Chaojie Li and Xinghuo Yu, "Distributed Resource Allocation via Accelerated Saddle Point Dynamics," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1588-1599, Sept. 2021. 

doi: 10.1109/JAS.2021.1004114

✦ Accelerated saddle point dynamics are firstly proposed for resource allocation.

✦ The proposed algorithm is initialization-free.

✦ An inertial fast-slow dynamical system is introduced for distributed algorithm design.

Chen Zhu, Jianyu Yang, Zhanpeng Shao and Chunping Liu, "Vision Based Hand Gesture Recognition Using 3D Shape Context," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1600-1613, Sept. 2021.

doi: 10.1109/JAS.2019.1911534

✦ A new shape descriptor 3D-SC is proposed to represent 3D hand gesture.

✦ Both local shape feature and global shape distribution are included in multi-scales.

✦ This method outperforms state-of-the-art methods in both accuracy and efficiency.

✦ The proposed method is efficient enough for real-time applications.

Ke Zhang, Yukun Su, Xiwang Guo, Liang Qi and Zhenbing Zhao, "MU-GAN: Facial Attribute Editing Based on Multi-Attention Mechanism," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1614-1626, Sept. 2021. 

doi: 10.1109/JAS.2020.1003390

✦ Constructing a symmetric U-Net-like architecture generator based on an additive attention mechanism, which effectively enhances detail preservation and attribute manipulation abilities.

✦ Taking a self-attention mechanism into the existing encoder-decoder architecture thus effectively enforcing geometric constraints on generated results.

✦ Introducing a multi-attention mechanism to help attribute decoupling, i.e., it can deal with the interference among attributes and only change the attributes that need to be changed.

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