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JAS多名作者入选科睿唯安2020年度高被引科学家
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昨日，科睿唯安（Clarivate）发布2020年度“高被引科学家”名单。入榜这份备受期待年度名单的科学家在过去十年间均发表了多篇高被引论文，被引频次在 Web of Science中位于同学科前1%，彰显了他们在同行中的重要学术影响力。
科睿唯安表示：在过去的十年里，全球800多万科研人员中，仅有不超过1%的学者发表过数篇在全球同年度同领域中被引频次排名前1%的论文；科睿唯安“高被引科学家”是名副其实的千里挑一的科研精英，是对科研界产生巨大影响的杰出科学家。
IEEE/CAA Journal of Automatica Sinica多名作者入选科睿唯安2020年度“高被引科学家”。在此衷心祝贺入选的各位专家！
限于篇幅，以下仅为入选学者2019年以来在JAS发表的高关注度论文（未包含2018年及之前发表、已录用定稿中、编校中，以及投稿在审的论文）
Giancarlo Fortino, Antonio Liotta, Fabrizio Messina, Domenico Rosaci and Giuseppe M. L. Sarnè, "Evaluating Group Formation in Virtual Communities," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1003-1015, July 2020.
✪ The problem of forming effective groups in virtual communities is addressed.
✪ The proposed solution exploits trust information without significant overhead by adopting local reputation instead of global reputation.
✪ An index to measure the effectiveness of group formation is introduced, as well as an algorithm to drive group formation as proof of concept.
✪ Experimental trials performed on two data sets extracted from social networks have shown that the adoption of the proposed solution offer significant advantages.
X.-M. Zhang, Q.-L. Han, X. H. Ge, D. Ding, L. Ding, D. Yue, and C. 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.
✪ This paper has 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.
Z. G. Sheng, S. Pfersich, A. Eldridge, J. S. Zhou, D. X. Tian, and Victor C. M. Leung, “Wireless acoustic sensor networks and edge computing for rapid acoustic monitoring,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 64-74, Jan. 2019. ✪ In this paper, we have proposed the combination of in situ analyses and transmission of ecoacoustic indices rather than raw audio using a wireless sensor network. ✪ A prototype device built from lost cost hardware was described and evaluated for audio performance, energy efficiency, spatial range and temporal performance. ✪ Range test and power tests demonstrate the prototype is suitable for extended deployment in densely forested areas, of typical conservation concern. H. W. Lin, B. Zhao, D. R. Liu, and C. 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, Jul. 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. ✪ The online fault tolerant control is shown to be optimal. W. He, X. X. Mu, L. Zhang, and Y. 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. ✪ This paper 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. Moreover, a hierarchical framework is introduced to exploit the cascaded structure of the established model for control scheme development. ✪ This paper considers the unknown aerodynamic perturbation of flapping wings on the torque generated by the tail wing. A radial basis function neural network is introduced to estimate and compensate for this perturbation and for improving tracking accuracy. ✪ This paper designs a bounded position controller with hyperbolic tangent functions to guarantee a bounded aerodynamic force. Also, this design effectively alleviates the coupling between the closed-loop position and attitude error systems, and thus facilitates the stability analysis greatly. G. Fortino, F. Messina, D. Rosaci, and G. 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. ✪ This work 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. ✪ The experimental campaign prove that agents have not convenience to performs misleading behaviors in the communities. ✪ The presented approach is able to detect the malicious agents in the system, with good accuracy. L. Liu, T. T. Gao, Y.-J. Liu, and S. C. 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. ✪ This paper proposes an adaptive finite-time control approach for a class of strict-feedback systems with asymmetric time-varying full state constraints. ✪ The RBFNNs are used to deal with unknown items. In the meantime, the ABLFs are employed to ensure that the state constraints are satisfied. ✪ In addition, 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.
X.-M. Zhang, Q.-L. Han, and X. 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. A. Xi, T. W. Mudiyanselage, D. C. Tao, and C. Chen, “Balance control of a biped robot on a rotating platform based on efficient reinforcement learning,”IEEE/CAA J. Autom. Sinica, vol. 6, no. 4, pp. 938–951, Jul. 2019. ✪ Correntropy is introduced to our algorithm to suppress the outliers and noises. ✪ The one-to-one index mapping is employed for fast speed. ✪ The closed-form solution of our algorithm is presented to reduce the run-time. ✪ Our algorithm is independent of feature extraction and can be used with other methods.
S. Ling, H. Q. Wang, and P. X. Liu, “Adaptive fuzzy dynamic surface control of flexible-joint robot systems with input saturation,”IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 97-107, Jan. 2019. ✪ This paper considers the tracking control problem of single-link flexible-joint robot system with input saturation using an adaptive fuzzy DSC, where the saturation problem is solved by a smooth function with the help of the mean-value theorem. ✪ The problem of an "explosion of complexity" is overcome by the adaptive DSC. The developed adaptive fuzzy control scheme can guarantee that all signals in the closed-loop system are uniformly ultimately bounded. ✪ The simulations on a single-link robot system show that the system output tracks the desired trajectory well under the input saturation. G. Bao, Y. D. Zhang, and Z. G. Zeng, “Memory analysis for memristors and memristive recurrent neural networks,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 96–105, Jan. 2020. ✪ We discuss the memory property of memristors by deriving the formula for the initial value formula and the voltmeter-ammeter method. ✪ Then we analyze two series and parallel memristors' memory. According to the developed memory analysis method, we give the algorithm for locating the initial values of all memristive synapses of the MRNN. Z. Chen, J. Zhang, and D. C. Tao, “Progressive LiDAR adaptation for road detection,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 3, pp. 693-702, May 2019. ✪ We introduce a novel road detection method called PLARD by progressively adapting LiDAR information to visual information. ✪ The PLARD first performs data space adaptation, which adapts LiDAR data to the 2D image space to align with the perspective view by applying an altitude difference-based transformation. ✪ The PLARD performs feature space adaptation to adapt the learned LiDAR features to visual features through cascaded fusion layers. H. Q. Wang, W. Bai, and P. X. P. Liu, “Finite-time adaptive faulttolerant control for nonlinear systems with multiple faults,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1417–1427, Nov. 2019. ✪ An adaptive fault-tolerant finite-time control is considered for a class of non-lower-triangular nonlinear systems by using the approximation and structural properties of radial basis function neural networks (RBFNN). ✪ According to the finite-time stability theoretics and the approximation of NNs, a finite-time fault-tolerant tracking control technique is designed with the utilization of backstepping. ✪ The proposed fault-tolerant control controller ensures that all signals in the closed-loop system are semi-globally practically finite-time stable and the tracking error converges to a small neighborhood around origin within finite time. ✪ The actuator faults and the abrupt system fault are considered in the control system, simultaneously. Y. Xu, C. K. Ahn, Y. S. Shmaliy, X. Y. Chen, and L. L. Bu, “Indoor INS/UWB-based human localization with missing data utilizing predictive UFIR filtering,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 4, pp. 952–960, Jul. 2019. ✪ The improved scheme for the INS/UWB-integrated localization designed in this paper has demonstrated an efficiency when drifts in UWB data exceed a reasonable boundary. ✪ Accurate observation of the human state by a fusing filter via the INS and UWB positions. ✪ Incorporation of predicted data to the UFIR filtering algorithm, which improves the estimator reliability. W. L. He, Z. K. Mo, Q.-L. Han, and F. Qian, “Secure impulsive synchronization in Lipschitz-type multi-agent systems subject to deception attacks,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1326–1334, Sept. 2020. ✪ A mathematical model of leader-following MASs with distributed impulsive control suffered from replacement deception attacks is built. ✪ Sufficient conditions for mean-square bounded synchronization are derived in which the nonzero upper bound of the error is given. ✪ For symmetric networks, how to choose the coupling strength, the impulsive interval and the attack intensity and probability the systems can render are also given. ✪ An asymmetric barrier Lyapunov functions based neural control is proposed. ✪ All states are guaranteed to stay in the pre-given time-varying ranges within finite time. ✪ The system output is driven to track the desired signal as quickly as possible. X. Chen, Z.-L. Sun, K.-M. Lam, and Z. G. Zeng, “A local deviation constraint based non-rigid structure from motion approach,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1455–1464, Sept. 2020. ✪ An effective model is constructed by considering both the overall estimation error and the variance of reconstruction errors for each frame. ✪ An Augmented Lagrange Multipliers (ALM) iterative algorithm is developed to optimize the local deviation-constrained-based estimation model. ✪ A convergence analysis is carried out in detail for the model optimization. W. S. Wang, X. X. Na, D. P. Cao, J. W. Gong, J. Q. Xi, Y. Xing, and F.-Y. Wang, “Decision-making in driver-automation shared control: A review and perspectives,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1289–1307, Sept. 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. Y. Zhang, L. S. Du, and F. 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. J. K. Sun, J. Yang, and S. H. 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. ✪ The proposed tracking control method does not need the velocity measurement. ✪ The proposed robust control method can attenuate the undesirable influence of the lumped disturbance on communication properties and tracking control properties in the framework of the DETM. ✪ The proposed control method is suitable for digital applications, since both the proposed robust output feedback tracking controller and the novel DETM are in discrete-time form. Y. H. Luo, S. N. Zhao, D. S. Yang, and H. G. 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. C. Sun, J. M. Uwabeza Vianney, Y. Li, L. Chen, L. Li, F.-Y. Wang, A. Khajepour, and D. P. Cao, “Proximity based automatic data annotation for autonomous driving,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 395–404, Mar. 2020. ✪ Affordable and scalable uncertainty-aware Image2Map annotation scheme for ADS. ✪ Proximity-based label extraction with GNSS calibration and EKF based on kinematic vehicle model. ✪ Present a scene understanding benchmark for multi-label learning collected in Canada winter. M. H. Han, R. X. Zhang, L. X. Zhang, Y. Zhao, and W. 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. C. H. Wang, Y. F. Zhao, and Y. Q. Chen, “The controllability, observability, and stability analysis of a class of composite systems with fractional degree generalized frequency variables,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 3, pp. 859-864, May 2019. ✪ We have considered some fundamental properties of a class of composite systems with fractional degree frequency variables. ✪ We reduced the stability condition of such composite system to judging whether a fractional degree polynomial is stable. ✪ Finally the stability analysis method for such composite systems is applied to the supervisory control of fractional-order multi-agent systems and an example is provided to illustrate the effectiveness of the proposed method. G. Chen, F. Wang, X. D. Yuan, Z. J. Li, Z. C. Liang, and A. 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. ✪ Proposing the first-ever neuromorphic sensor-based biometric authentication system to capture subtle changes of human eye blinks in microsecond level latency. ✪ Offering the first-ever neuromorphic eyeblink dataset which contains subtle motions of eyebrow and ocular during some normal blinks. The ratio of males to females among volunteers approaches 1 and they are all in a normal state. ✪ We 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.
Y. X. Su, Q. L. Wang, and C. Y. Sun, “Self-triggered consensus control for linear multi-agent systems with input saturation,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 150–157, Jan. 2020. ✪ Differential inclusion: The input saturation is considered in the controller design to fulfill the practical constraints. ✪ Self-triggered Control: A self-triggered mechanism is studied to reduce the computational and communicational resources. ✪ LMIs: Some sufficient conditions are given in LMIs to guarantee the positively invariant property of DOA.
https://blog.sciencenet.cn/blog-3291369-1259014.html
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