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JAS多名作者入选科睿唯安2021年度高被引科学家
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本期遴选入选学者2020年以来在JAS发表的高关注度论文（未包含2019年及之前发表、已录用定稿中、编校中，以及投稿在审的论文），欢迎阅览！
Peiliang Huang, Junwei Han, Nian Liu, Jun Ren, Dingwen Zhang, "Scribble-Supervised Video Object Segmentation," IEEE/CAA J. Autom. Sinica, vol. 9, no. 2, pp. 339-353, Feb. 2022.
● An early attempt to achieve video object segmentation with scribble-level supervision, which can alleviate large amounts of human labors for collecting the manual annotation.
● Proposed scribble attention module can capture more accurate context information and learns an effective attention map to enhance the contrast between foreground and background.
● Proposed scribble-supervised loss can optimize the unlabeled pixels and dynamically corrects inaccurate segmented areas during the training stage.
Lu Zhang, Jun Yang, Shihua Li, "A Model-Based Unmatched Disturbance Rejection Control Approach for Speed Regulation of a Converter-Driven DC Motor Using Output-Feedback," IEEE/CAA J. Autom. Sinica, vol. 9, no. 2, pp. 365-376, Feb. 2022. ● The explicit relationship between the observer gains and the assigned poles has been developed for both the proposed method and the active disturbance rejection control (ADRC) method. ● Concerned with unmatched disturbance rejections via output-feedback control. ● The performance of the proposed control method is tested through experiments on dSPACE. Xiaohua Ge, Shunyuan Xiao, Qing-Long Han, Xian-Ming Zhang, Derui Ding, "Dynamic Event-Triggered Scheduling and Platooning Control Co-Design for Automated Vehicles Over Vehicular Ad-Hoc Networks," IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 31-46, Jan. 2022. ● A new bandwidth-aware dynamic event-triggered scheduling mechanism (DESM) is developed to efficiently alleviate communication resource expenditure. ● The theoretical relationship between the proposed DESMs and some existing ESMs is explicitly disclosed. It is demonstrated that the proposed DESMs are more flexible for achieving a trade-off between communication efficiency and platoon control performance. ● A scalable co-design criterion on the existence of desired event-triggered platoon control law and DESMs is presented. Both controller gain matrix and trigger weighting matrix can be obtained from the derived criterion that is independent of platoon scale. Yanni Wan, Jiahu Qin, Xinghuo Yu, Tao Yang, Yu Kang, "Price-Based Residential Demand Response Management in Smart Grids: A Reinforcement Learning-Based Approach," IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 123-134, Jan. 2022. ● Study the price-based residential demand response management in smart grid considering PEV loads. ● Model the PB-RDRM from a social perspective, i.e., maximize the weighted sum of UC's profit and loads' cost. ● Propose a model-free reinforcement learning-based DR algorithm to address the uncertainties. Ben Niu, Jidong Liu, Ding Wang, Xudong Zhao, Huanqing Wang, "Adaptive Decentralized Asymptotic Tracking Control for Large-Scale Nonlinear Systems With Unknown Strong Interconnections," IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 173-186, Jan. 2022. ● The decentralized control scheme proposed removes all the two widely adopted traditional conditions of the interconnected terms by using the inherent properties of Gaussian function and thereby deals with completely unknown strong interconnections successfully. ● The asymptotic tracking control is realized in this paper even though the uncertain parameters, large-scale system structure and unknown strong interconnections are considered. ● By applying the DSC technology, the inherent “explosion of complexity” problem in backstepping is eliminated. Yuxiang Yang, Zhihao Ni, Mingyu Gao, Jing Zhang, Dacheng Tao, "Collaborative Pushing and Grasping of Tightly Stacked Objects via Deep Reinforcement Learning," IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 135-145, Jan. 2022. ● A novel collaborative pushing and grasping method is proposed for handling tightly stacked objects. ● An efficient non-maximum suppression policy is devised to suppress unreasonable actions. ● A novel PR-Net is devised to assess the degree of aggregation or separation between objects. Aijuan Song, Guohua Wu, Witold Pedrycz, Ling Wang, "Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations Systems," IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 75-89, Jan. 2022. ● Variable reduction strategy was proposed to reduce nonlinear equations systems. ● A framework of variable reduction strategy and evolutionary algorithms was presented. ● Variable reduction strategy enables a better performance of an original algorithm. Mohamed Amine Ferrag, Lei Shu, 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. ● 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. Peide Liu,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. ● 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, 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. ● 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. Kunhua Liu, Zihao Ye, Hongyan Guo, Dongpu Cao, Long Chen, Fei-Yue Wang, "FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation," IEEE/CAA J. Autom. Sinica, vol. 8, no. 8, pp. 1428-1439, Aug. 2021. ● No method has previously been developed to directly explore the relationship between foggy images and semantic segmentation images. We investigated this relationship and propose a GAN for foggy image semantic segmentation. ● Propose a novel efficient network architecture based on a combination of concepts from U_Net, called a dilated convolution U_Net. ● A direct FISS GAN that generates semantic segmentation images under edge information guidance is proposed. Imran Ahmed, Sadia Din, Gwanggil Jeon, Francesco Piccialli, Giancarlo Fortino, "Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning," IEEE/CAA J. Autom. Sinica, vol. 8, no. 7, pp. 1253-1270, July 2021. ● Collaborative surveillance framework is presented for multiple object tracking and detection. ● Framework consists of a smart camera, visual processing unit, & deep learning models. ● Generalization performance of detection models has been investigated for top view. Qingling Wang, Changyin Sun, "Distributed Asymptotic Consensus in Directed Networks of Nonaffine Systems With Nonvanishing Disturbance," IEEE/CAA J. Autom. Sinica, vol. 8, no. 6, pp. 1133-1140, June 2021. ● This is the first work to consider the leaderless consensus problem of high-order nonaffine agents with uncertain dynamics, nonvanishing disturbance, and unknown control directions, in contrast to existing results for consensus of nonaffine agents. ● A new DRISE design combined with the Nussbaum-type function is first proposed to guarantee not only the desired asymptotic consensus, but also the uniform boundedness of all closed-loop variables. ● Different from existing results on consensus of agents with nonvanishing disturbance, in this work the integral operation in the proposed control algorithm is adopted to incorporate in a continuous manner and ensure less chattering behavior. Eman Mousavinejad, Xiaohua Ge, Qing-Long Han, Teng Joon Lim, Ljubo Vlacic, "An Ellipsoidal Set-Membership Approach to Distributed Joint State and Sensor Fault Estimation of Autonomous Ground Vehicles," IEEE/CAA J. Autom. Sinica, vol. 8, no. 6, pp. 1107-1118, June 2021. ● An augmented descriptor vehicle model is first established, where the unknown sensor fault is modeled as an auxiliary state of the system model. ● A new distributed ellipsoidal set-membership estimation approach is developed so as to construct an optimized bounding ellipsoidal set which guarantees to contain the vehicle’s true state and the sensor fault at each time step despite the existence of UBB disturbance and measurement noises. ● A convex optimization algorithm is put forward such that the gain matrix of each distributed estimator can be recursively obtained. Jiaxin Zhang, Kewen Li, Yongming Li, "Output-Feedback Based Simplified Optimized Backstepping Control for Strict-Feedback Systems with Input and State Constraints," IEEE/CAA J. Autom. Sinica, vol. 8, no. 6, pp. 1119-1132, June 2021. ● An adaptive NN optimal control scheme is developed for nonlinear systems with input saturation. ● The Barrier type of optimal cost functions are constructed to solve the optimal control problem for nonlinear system. ● By using the actor-critic architecture with tan-type BLF, the optimal controllers are designed by the backstepping recursive design. Zhixiong Zhong, Xingyi Wang, Hak-Keung Lam, "Finite-Time Fuzzy Sliding Mode Control for Nonlinear Descriptor Systems," IEEE/CAA J. Autom. Sinica, vol. 8, no. 6, pp. 1141-1152, June 2021. ● By using a descriptor redundancy approach, the fuzzy representation in the derivative matrix of system is reformulated into the linear one. ● For a specified time interval, partition with transient dynamics of sliding mode control into two subintervals: Reaching phase and sliding motion phase. ● Based on the Lyapunov function in the descriptor system domain, the design of FSMC Law is derived in terms of LMIs. Iftikhar Ahmad, Xiaohua Ge, 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. ● 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. Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou, "Residual-driven Fuzzy C-Means Clustering for Image Segmentation," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 876-889, Apr. 2021. ● For the first time, we propose an RFCM framework for image segmentation. ● WRFCM is presented by weighting mixed noise distribution and incorporating spatial information. ● Design a two-step iterative algorithm to realize WRFCM. Xueli Wang, Derui Ding, Hongli Dong, Xian-Ming Zhang, "Neural-Network-Based Control for Discrete-Time Nonlinear Systems with Input Saturation Under Stochastic Communication Protocol," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 766-778, Apr. 2021. ● An NN-based identifier with a robust term is presented to approximate the unknown nonlinear system, where weight update rules are constructed by an additional tunable parameter. ● A value iterative ADP algorithm is proposed to solve the suboptimal control issue of protocol-induced switching systems with saturation constraints in an off-line way. ● The convergence of the ADP algorithm is discussed and further performed via an actor-critic NN scheme. Junkang Ni, Peng Shi, Yu Zhao, Zhonghua Wu, "Fixed-Time Output Consensus Tracking for High-Order Multi-Agent Systems With Directed Network Topology and Packet Dropout," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 817-836, Apr. 2021. ● Addresses fixed-time consensus tracking of high-order MAS under directed graph and packet dropout. ● Proposes fixed-time distributed observer to deal with directed graph and packet dropout. ● Proposes fixed-time DSC to handle mismatched disturbances and singularity problem. Seok-Kyoon Kim, Choon Ki Ahn, "DC Motor Speed Regulator via Active Damping Injection and Angular Acceleration Estimation Techniques," IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 641-647, Mar. 2021. ● The elimination of the current feedback considering current dynamics with the use of parameter-independent angular acceleration observers. ● The observer-based active damping injection control for the pole-zero cancellation resulting in the first-order closed-loop speed dynamics. ● The observer-based disturbance observer reinforcing the closed-loop robustness with the guarantee of the offset-free property. Lei Zou, Zidong Wang, Hang Geng, Xiaohui Liu, "Set-Membership Filtering Subject to Impulsive Measurement Outliers: A Recursive Algorithm," IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 377-388, Feb. 2021. ● A new model is established to characterize the measurement outlier. ● A new algorithm is proposed to find the measurements corrupted by outliers. ● A new set-membership filter is designed to guarantee the filtering performance. Yicun Hua, Qiqi Liu, Kuangrong Hao, Yaochu Jin, "A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts," IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 303-318, Feb. 2021. ● A survey of evolutionary algorithms for irregular multi-objective optimization problems. ● A definition for irregular Pareto fronts is suggested, illustrated with illustrative examples. ● A list of irregular multi-objective optimization test functions and real-world problems. Dan Zhang, Gang Feng, Yang Shi, Dipti Srinivasan, "Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances," IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 319-333, Feb. 2021. ● A more systematic and broader overview on the safety and security of MASs is given. ● Different techniques and methodologies are briefly presented, and their advantages and disadvantages are highlighted. ● Some emerging and challenging research direction are proposed such that the readers of this article can quickly grasp the state of the art in the concerned research field and explore new research topics. Wei He, Xinxing Mu, Liang Zhang, Yao Zou, "Modeling and Trajectory Tracking Control for Flapping-Wing Micro Aerial Vehicles," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 148-156, Jan. 2021. ● Formulates the aerodynamic force and torque generated by the actual flapping frequency of flapping wings and tail wing inclination when constructing the system model of the FWMAV. ● Considers the unknown aerodynamic perturbation of flapping wings on the torque generated by the tail wing. ● Designs a bounded position controller with hyperbolic tangent functions to guarantee a bounded aerodynamic force. Mohammad Al-Sharman, David Murdoch, Dongpu Cao, Chen Lv, Yahya Zweiri, Derek Rayside, William Melek, "A Sensorless State Estimation for A Safety-Oriented Cyber-Physical System in Urban Driving: Deep Learning Approach," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 169-178, Jan. 2021. ● A sensorless novel deep-learning-based algorithm is developed for brake pressure state estimation of an electric vehicle. ● This state estimation technique uses current DL techniques and functions, such as dropout and ReLU to provide overfitting-free models of the state estimator. ● The proposed deep learning structure is expandable, hence, it can estimate other EV states in urban and high-way environments. Guang Chen, Fa Wang, Xiaoding Yuan, Zhijun Li, Zichen Liang, Alois Knoll, "NeuroBiometric: An Eye Blink Based Biometric Authentication System Using an Event-Based Neuromorphic Vision Sensor," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 206-218, Jan. 2021. ● It outperforms the authentication system with the traditional CMOS cameras in terms of speed without sacrificing the accuracy. ● Uses DAVIS346 with a resolution of 346*260 pixels, a temporal resolution of 1 μs and an outstanding dynamic range (up to 140 dB) to collect dataset indoors under the natural light of the day. ● Constructing a series of microsecond level event-driven eye-blinking features (204 in total) out of 4 types of smoothing curves generated from our filtered biometrics data in time and frequency domain. Xian-Ming Zhang, Qing-Long Han, Xiaohua Ge, "Novel Stability Criteria for Linear Time-Delay Systems Using Lyapunov-Krasovskii Functionals With A Cubic Polynomial on Time-Varying Delay," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 77-85, Jan. 2021. ● Establish a necessary and sufficient condition on a matrix-valued polynomial inequality over a certain closed interval. ● Introduce a novel Lyapunov-Krasovskii functional. ● The proposed stability criteria are of less conservativeness than some existing ones. Xiaofeng Li, Lu Dong, Changyin Sun, "Data-Based Optimal Tracking of Autonomous Nonlinear Switching Systems," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 227-238, Jan. 2021. ● Develop a data-based method for optimal tracking of autonomous switching systems. ● The effects of approximation error and finite number of iterations are considered. ● Provide theoretical analysis of the continuity, the convergence, and the stability. Giancarlo Fortino, Fabrizio Messina, Domenico Rosaci , Giuseppe M. L. Sarnè, "ResIoT: An IoT Social Framework Resilient to Malicious Activities," IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1263-1278, Sept. 2020. ● Focuses on the social resilience of agents behaviors in IOT systems. ● A framework for agents operating in an IOT environment, called ResIOT, is proposed. ● The framework is capable to drive the formation of communities to avoid misleading agents behaviors. Ya Zhang, Lishuang Du, Frank L. Lewis, "Stochastic DoS Attack Allocation Against Collaborative Estimation in Sensor Networks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1225-1234, Sept. 2020. ● Stochastic DoS attack allocation in networks with multiple sensors is studied. ● The minimum number of channels needed to attack and how to select them are given. ● The attack probabilities and power with minimum energy consumption are proposed. Lei Liu, Tingting Gao, Yan-Jun Liu, Shaocheng Tong, "Time-Varying Asymmetrical BLFs Based Adaptive Finite-Time Neural Control of Nonlinear Systems With Full State Constraints," IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1335-1343, Sept. 2020. ● Proposes an adaptive finite-time control approach for a class of strict-feedback systems with asymmetric time-varying full state constraints. ● Combining with backstepping technique to the constructed controller, the RBFNNs are used to deal with unknown items. In the meantime, the ABLFs are employed to ensure that the state constraints are satisfied. ● Through the Lyapunov theorem, it is proved that if all the closed-loop signals are bounded and the time-varying asymmetrical constraints are not violated, the tracking error is close to the origin in finite-time. Haowei Lin, Bo Zhao, Derong Liu, Cesare Alippi, "Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 954-964, July 2020. ● A data-based fault tolerant control scheme is investigated. ● The unknown system dynamics is approximated by PSO-NN identifier. ● The HJB equation is solved with a high successful rate by the PSOCNN. Juan Chen, Baotong Cui, YangQuan Chen, 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. ● Constructing a cyber-physical system framework based on centroidal Voronoi tessellations (CVTs). ● Analyzing the convergence of the actuators location. ● Developing a novel proportional integral (PI) control method for actuator motion planning. Yuchi Cao, Tieshan Li, "Review of Antiswing Control of Shipboard Cranes," IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 346-354, Mar. 2020. ● The dynamics characteristic and challenges of controller design are analyzed to illustrate the essence of the research on shipboard cranes. ● A comprehensive review and brief analysis on shipboard cranes control are presented to know about the development in this research interest. ● Some research directions are put forward for reference, so it is expected that the paper will be useful for improving existing control schemes and generating novel control approaches for shipboard crane systems. Xian-Ming Zhang, Qing-Long Han, Xiaohua Ge, Derui Ding, Lei Ding, Dong Yue, 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. ● NCSs have been a hot topic for over two decades. Boosted by the rapid development of network communication technologies, NCSs have found ever-increasing applications in a wide range of areas, such as smart grids, intelligent transportation, unmanned space (surface/marine) vehicles, robotic networks, and so on. ● Surveyed recent theoretical developments of five control issues from the perspective of ‘control over network’, including sampled-data control, quantization control, networked control, event-triggered control, and security control. Junfei Qiao, Fei Li, Cuili Yang, Wenjing Li, Ke Gu, "A Self-Organizing RBF Neural Network Based on Distance Concentration Immune Algorithm," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 276-291, Jan. 2020. ● A DCIA algorithm is adopted to improve the diversity of antibodies. ● The immune algorithm is used to adjust the network and parameters according to. ● Five samples are used to be calculate simultaneously, and the last one is used to update the parameters of hidden layer neurons, so that the system has large amount of calculation and its computation is not high enough. Minghao Han, Ruixian Zhang, Lixian Zhang, Ye Zhao, Wei Pan, "Asynchronous Observer Design for Switched Linear Systems: A Tube-Based Approach," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 70-81, Jan. 2020. ● Providing a review of decision-making in driver-automation shared control. ● Discussing human driver models from different perspectives. ● Providing future challenges and opportunities in driver-automation shared control systems. Yanhong Luo, Shengnan Zhao, Dongsheng Yang, 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. ● It is the first time that the RBFNN is introduced to the robust adaptive backstepping control scheme for the single machine infinite power system with TCSC. ● An online updating robust term is proposed to reduce the residual error of the system to ensure the uniform ultimate boundedness of all the weight parameters and states of the whole closed-loop system without knowing the upper bound of the adaptive parameter. ● The ideal weights of neural networks and the adjusting rule of the adaptive parameter can also be updated online.
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