【当期目录】IEEE/CAA JAS 第8卷 第5期

已有 214 次阅读 2021-7-13 15:38 |系统分类:博客资讯





美国University of California,Iowa State University,Rowan University,New Jersey Institute of Technology、英国King’s College London、加拿大University of Alberta、澳大利亚Swinburne University of Technology、中科院自动化研究所、重庆大学、华南理工大学等


Yuchuang Tong and Jinguo Liu,"Review of Research and Development of Supernumerary Robotic Limbs," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 929-952, May 2021.

doi: 10.1109/JAS.2021.1003961

●SRLs are discussed from literature analysis, research status and ontology structure.

●Control and drive, sensing and perception, and application of SRLs are introduced.

●Current technical challenges faced by SRLs are analyzed and summarized.


Samik Basu and Ratnesh Kumar, "Control of Non-Deterministic Systems With μ-Calculus Specifications Using Quotienting," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 953-970, May 2021. 

doi: 10.1109/JAS.2021.1003964 

●Presented a technique for supervisory control of nondeterministic discrete event plants under complete observation of events subject to specification expressed in the propositional μ-calculus.

●Developed a sound and complete tableau-based methodology for satisfiability checking and model discovery of μ-calculus formulas.

Iftikhar Ahmad, Xiaohua Ge and Qing-Long Han, "Decentralized Dynamic Event-Triggered Communication and Active Suspension Control of In-Wheel Motor Driven Electric Vehicles with Dynamic Damping," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 971-986, May 2021. 

doi: 10.1109/JAS.2021.1003967

●Addresses the co-design problem of decentralized dynamic event-triggered communication and active suspension control for an in-wheel motor driven electric vehicle equipped with a dynamic damper.

●A novel decentralized dynamic event-triggered communication mechanism is developed to regulate each sensor’s data transmissions such that sampled data packets on each sensor are scheduled in an independent manner.

●Comprehensive comparative simulation studies of a 3-degrees-of-freedom quarter suspension model are provided under both bump road disturbance and ISO-2631 classified random road disturbance to validate the effectiveness of the proposed co-design approach.

Jian Pan, Congbo Li, Ying Tang, Wei Li and Xiaoou Li, "Energy Consumption Prediction of a CNC Machining Process With Incomplete Data," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 987-1000, May 2021. 

doi: 10.1109/JAS.2021.1003970

●Missing mechanism of energy modeling data for the Machining process is analyzed.

●A framework for energy modeling based on incomplete data is proposed.

●General and useful tips for utilizing the incomplete data sets are derived.

Deyuan Meng and Jingyao Zhang, "Robust Optimization-Based Iterative Learning Control for Nonlinear Systems With Nonrepetitive Uncertainties," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1001-1014, May 2021.

doi: 10.1109/JAS.2021.1003973

●Address the robust iterative learning control (ILC) problem for nonlinear time-varying systems in the presence of nonrepetitive uncertainties.

●Introduce a new robust convergence analysis method for optimization-based adaptive ILC by implementing a double-dynamics analysis approach and resorting to the use of the properties of the substochastic matrices.

●Our design methods and analysis results of optimization-based adaptive ILC can effectively work, regardless of the presence of nonrepetitive uncertainties.

Xiurui Hou, Kai Wang, Cheng Zhong and Zhi Wei, "ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1015-1024, May 2021.

doi: 10.1109/JAS.2021.1003976

●Learn latent features of companies’ fundamental variables via Variational Autoencoder.

●Model graph structured interaction among stocks and price fluctuations simultaneously.

●Experiments on both predicting numerical stock price and binary stock price movement.

Chengcai Leng, Hai Zhang, Guorong Cai, Zhen Chen and Anup Basu, "Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1025-1037, May 2021.

doi: 10.1109/JAS.2021.1003979 

●Presents a novel image registration algorithm named Total Variation constrained Graph-regularization for Non-negative Matrix Factorization (TV-GNMF).

●Total variation is incorporated into NMF to denoise in smooth regions and preserve the features or details of data in edge regions.

●Graph regularization is added into NMF to reveal intrinsic geometry and structure information of data to enhance the discrimination power.

Xi Chen, Ming Yu, Feng Yue and Bin Li, "Orientation Field Code Hashing: A Novel Method for Fast Palmprint Identification," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1038-1051, May 2021. 

doi: 10.1109/JAS.2020.1003186

●Use a gradient-based orientation field to obtain continuous orientation representations within an acceptable time-frame, and propose a double-orientation encoding method to make the orientation codes more accurate and stable.

●Propose a window-based feature measurement, by which the process of position translations can be removed for speeding up the searching.

●Evaluate the performance of accuracy and speed on two large-scale databases, namely, Hong Kong PolyU large-scale database and CASIA palmprint database plus a synthetic database. 

Wenfeng Li, Zhengchao Xie, Yucong Cao, Pak Kin Wong and Jing Zhao, "Sampled-Data Asynchronous Fuzzy Output Feedback Control for Active Suspension Systems in Restricted Frequency Domain," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1052-1066, May 2021. 

doi: 10.1109/JAS.2020.1003306

●A T-S fuzzy model is proposed for the approximation of uncertain half-car active suspension systems.

●A reconstructed method is employed to synchronize the membership functions of the fuzzy controller and the fuzzy system.

●A sampled-data asynchronous control method with finite frequency criterion is proposed for the T-S fuzzy suspension system.

Jinpeng Li, Yaling Tao and Ting Cai, "Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1067-1078, May 2021. 

doi: 10.1109/JAS.2021.1003910

●A deep learning model is constructed to assess the risk of developing lung cancers for the Chinese people aged between 40 and 74.

●Basic information, diet habits, living conditions, psychology and emotion, medical history and family cancer history are used to facilitate the pre-hospital self-assessment.

●A generative adversarial network is used to synthesize auxiliary positive samples, and a discriminative model is used to predict the lung cancer.

Yun Wang and Xingquan Zuo, "An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1079-1094, May 2021. 

doi: 10.1109/JAS.2021.1003982

●The proposed cloud workflow scheduling algorithm combines PSO and idle time-aware rules, having the advantage of both meta-heuristics (PSO) and heuristic rules.

●A new solution encoding is devised to represent simultaneously the VM type required by each task and the scheduling sequence of each task.

●Idle time slot-aware heuristic scheduling rules are proposed to decode a particle (a solution encoding) to a scheduling solution.

Shuangyi Wang, James Housden, Tianxiang Bai, Hongbin Liu, Junghwan Back, Davinder Singh, Kawal Rhode, Zeng-Guang Hou and Fei-Yue Wang, "Robotic Intra-Operative Ultrasound: Virtual Environments and Parallel Systems," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1095-1106, May 2021. 

doi: 10.1109/JAS.2021.1003985

●A virtual environment to represent the use of the robotic trans-esophageal ultrasound is presented.

●Example uses are introduced to demonstrate its applications in surgical planning.

●Concept of parallel systems is utilized for a specific medical robotic application.

下一篇:JAS副主编刘德荣教授获IEEE CIS Neural Networks Pioneer奖


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