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JAS多名作者入选2019中国高被引学者榜单

已有 624 次阅读 2020-5-12 17:32 |系统分类:博客资讯

近日,爱思唯尔发布“2019年中国高被引学者榜单”,以Scopus数据库为统计源筛选,随着中国在国际科研领域的影响力不断提高,引领全球学术进步的各领域杰出学者不断涌现。


本次各个领域共有2163位中国学者入选, 包括JAS的多位编委和作者,在此对各位学者表示衷心祝贺!


限于篇幅,以下仅为入选榜单的学者2019年以来在JAS上发表的高关注度论文(排名不分先后)



Li Huang, MengChu Zhou, Kuangrong Hao and Edwin Hou, "A Survey of Multi-robot Regular and Adversarial Patrolling," IEEE/CAA J. Autom. Sinica, vol. 6, no. 4, pp. 894-903, July 2019. 


This work reviews the existing researches in a multi-robot patrolling field from the perspectives of regular and adversarial patrolling. Under each category, a systematic survey is done including problem statements and modeling, patrolling objectives and evaluation criteria, and representative patrolling strategies and approaches.



Min Zhou, Hairong Dong, Petros A. Ioannou, Yanbo Zhao and Fei-Yue Wang, "Guided Crowd Evacuation: Approaches and Challenges," IEEE/CAA J. Autom. Sinicavol. 6, no. 5, pp. 1081-1094, Sept. 2019. 


The purpose of this paper is to provide an overview of recent advances in guided crowd evacuation. Different guided crowd evacuation approaches are classified according to guidance approaches and technologies. A comprehensive analysis and comparison of crowd evacuation with static signage, dynamic signage, trained leader, mobile devices, mobile robot and wireless sensor networks are presented based on a single guidance mode perspective.



Yanhong Luo, Shengnan Zhao, Dongsheng Yang and Huaguang Zhang, "A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 48-56, Jan. 2020. 


This paper present a robust adaptive backstepping control scheme based on the radial basis function neural network (RBFNN). The RBFNN is introduced to approximate the complex nonlinear function involving uncertainties and external unknown disturbances, and meanwhile a new robust term is constructed to further estimate the system residual error, which removes the requirement of knowing the upper bound of the disturbances and uncertainty terms. The stability analysis of the power system is presented based on the Lyapunov function, which can guarantee the uniform ultimate boundedness (UUB) of all parameters and states of the whole closed-loop system. 




Gang Bao, Yide Zhang and Zhigang Zeng, "Memory Analysis for Memristors and Memristive Recurrent Neural Networks,"   IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 96-105, Jan. 2020. 


This paper focuses on the memory analysis, i.e., the initial value computation, of memristors. Firstly, we present the memory analysis for a single memristor based on memristors' mathematical models with linear and nonlinear drift. Secondly, we present the memory analysis for two memristors in series and parallel. Thirdly, we point out the difference between traditional neural networks and those that are memristive. Based on the current and voltage relationship of memristors, we use mathematical analysis and SPICE simulations to demonstrate the validity of our methods.


Jiankun Sun, Jun Yang and Shihua Li, "Reduced-Order GPIO Based Dynamic Event-Triggered Tracking Control of a Networked One-DOF Link Manipulator Without Velocity Measurement," IEEE/CAA J. Autom. Sinica, vol. 7, no. 3, pp. 725-734, May 2020.


This paper proposes a novel dynamic event-triggered robust tracking control method for a one-degree of freedom (DOF) link manipulator with external disturbance and system uncertainties via a reduced-order generalized proportional-integral observer (GPIO). To save the communication resources, we propose a discrete-time dynamic event-triggering mechanism (DETM), where the estimates and the control signal are transmitted and computed only when the proposed discrete-time DETM is violated. It is shown that with the proposed control method, both tracking control properties and communication properties can be significantly improved. 


Jiyuan Tan, Chunling Xu, Li Li, Fei-Yue Wang, Dongpu Cao and Lingxi Li, "Guidance Control for Parallel Parking Tasks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 301-306, Jan. 2020.


In this paper, a new automatic parking method is presented, which could characterize the desired control actions directly. Then the feasibility is examined carefully. Tests show that a simple parking guidance control strategy can work in most parallel parking tasks, if the available parking berth is not too small. This finding helps to build more concise automatic parking systems that can efficiently guide human drivers.


Ling Wang and Jiawen Lu, "A Memetic Algorithm With Competition for the Capacitated Green Vehicle Routing Problem," IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 516-526, Mar. 2019. 


In this paper, a memetic algorithm with competition (MAC) is proposed to solve the capacitated green vehicle routing problem (CGVRP). Firstly, the permutation array called traveling salesman problem (TSP) route is used to encode the solution, and an effective decoding method to construct the CGVRP route is presented accordingly. Secondly, the k-nearest neighbor (kNN) based initialization is presented to take use of the location information of the customers. Thirdly, according to the characteristics of the CGVRP, the search operators in the variable neighborhood search (VNS) framework and the simulated annealing (SA) strategy are executed on the TSP route for all solutions.



Xian-Ming Zhang, Qing-Long Han, Xiaohua Ge, Derui Ding, Lei Ding, Dong Yue and Chen Peng, "Networked Control Systems: A Survey of Trends and Techniques," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 1-17, Jan. 2020.


This paper aims at presenting a survey of trends and techniques in networked control systems from the perspective of ‘control over networks’, providing a snapshot of five control issues: sampled-data control, quantization control, networked control, event-triggered control, and security control. Some challenging issues are suggested to direct the future research.


Chengdong Li, Jianqiang Yi, Yisheng Lv and Peiyong Duan, "A Hybrid Learning Method for the Data-Driven Design of Linguistic Dynamic Systems," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1487-1498, Nov. 2019.


This paper first presents a simplified LDS whose inputoutput mapping can be determined by closed-form formulas. Then, a hybrid learning method is proposed to construct the data-driven LDS model. The proposed approach is successfully applied to three real-world prediction applications which are: prediction of energy consumption of a building, forecasting of the traffic flow, and prediction of the wind speed. Simulation results show that the uncertainties in the data can be effectively captured by the linguistic (fuzzy) estimates. It can also be extended to some other prediction or modeling problems, in which observed data have high levels of uncertainties.

Kai Zhong, Min Han and Bing Han, "Data-Driven Based Fault Prognosis for Industrial Systems: A Concise Overview," IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 330-345, Mar. 2020.


In this context, the major task of this paper is to present a systematic overview of data-driven fault prognosis for industrial systems. Firstly, the characteristics of different prognosis methods are revealed with the data-based ones being highlighted. Moreover, based on the different data characteristics that exist in industrial systems, the corresponding fault prognosis methodologies are illustrated, with emphasis on analyses and comparisons of different prognosis methods. 



Juan Chen, Baotong Cui, YangQuan Chen and Bo Zhuang, "An Improved Cooperative Team Spraying Control of a Diffusion Process With a Moving or Static Pollution Source," IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 494-504, Mar. 2020. 


The major contribution of this paper can be divided into three parts: the first is the construction of a cyber-physical system framework based on centroidal Voronoi tessellations (CVTs), the second is the convergence analysis of the actuators location, and the last is a novel proportional integral (PI) control method for actuator motion planning and neutralizing control (e.g., spraying) of a diffusion process with a moving or static pollution source, which is more effective than a proportional (P) control method. In addition, a numerical simulation example for the diffusion process is presented to verify the effectiveness of our proposed controllers.





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