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[转载]【当期目录】IEEE/CAA JAS 2021年第1期
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【当期目录】IEEE/CAA JAS 2021年第1期
JAS自2021年第1期起以月刊出版啦~
报导前沿热点成果更迅捷！
2021年首期20篇文章，小编来盘点
※ 领域热点前沿
大数据、机器人、时滞系统、计算智能、机器学习、神经网络、人工智能...
※ 高影响力学者
Cognitive Computation主编Amir Hussain教授、Systems & Control Letters主编Miroslav Krstić教授、桂卫华院士、孙优贤院士、6名科睿唯安2020年度高被引科学家、13名IEEE Fellow...
※ 全球科研机构
美国University of California San Diego、Monmouth University，澳大利亚Swinburne University of Technology, 英国University of Cambridge、Edinburgh Napier University，意大利University Polytechnic of Bari, 德国Technical University of Munich，加拿大University of Calgary、University of Waterloo，日本University of Toyama，以及北京科技大学、东南大学等67个国内外高校
综述
Sohail Imran, Tariq Mahmood, Ahsan Morshed and Timos Sellis, "Big Data Analytics in Healthcare — A Systematic Literature Review and Roadmap for Practical Implementation," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 1-22, Jan. 2021.
● The most thorough systematic literature review on big data analytics applications to healthcare.
● Focus on healthcare applications for NoSQL databases and Apache Hadoop ecosystem.
● Proposes the first-ever Zeta architecture called Med-BDA for big healthcare data analytics.
● Med-BDA has the potential to solve ALL current limitations for big healthcare data analytics.
Zhibin Li, Shuai Li and Xin Luo, "An Overview of Calibration Technology of Industrial Robots," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 23-36, Jan. 2021.
● The error parameter identification of serial and parallel robots is summarized.
● The robot kinematics and dynamics models, the parameter identification algorithms, calibration process and some classic applications of robot calibration are introduced, and the related research work at home and abroad is reviewed.
● Discuss the challenges in robot calibration and introduces the future development trend of robot calibration technology, which provides new ideas for future research.
论文
Maria Pia Fanti, Agostino Marcello Mangini, Alfredo Favenza and Gianvito Difilippo, "An Eco-Route Planner for Heavy Duty Vehicles," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 37-51, Jan. 2021.
● A Cloud Computing System architecture is presented for the truck powertrain management.
● An Eco-Route Planner is proposed to determine the best eco-route for Heavy-Duty Vehicles (HDVs).
● The best eco-route saves fuel consumption by respecting time constraints.
● The Eco-Route Planner optimizes and communicates speed and gear profiles to the HDVs’ drivers.
● The Eco-route planner is an intelligent navigator that allows HDV drivers to avoid traffic jams.
Yingxu Wang, Ming Hou, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Edward Tunstel, Imre J. Rudas and Ljiljana Trajkovic, "Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligence and Systems Sciences," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 52-63, Jan. 2021.
● AS are advanced intelligent systems functioning without human intervention or with humans in the loop.
● AS are underpinned by intelligence, brain, cybernetic sciences and Intelligent Mathematics (IM).
● The basic unit of knowledge represented by AS is discovered as a binary relation (bir).
● AS mimic the brain from reflexive, imperative, adaptive to autonomous/cognitive intelligence.
Cosimo Ieracitano, Annunziata Paviglianiti, Maurizio Campolo, Amir Hussain, Eros Pasero and Francesco Carlo Morabito, "A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 64-76, Jan. 2021.
● Anomaly detection system for electrospun nanofibers.
● Decomposition of original SEM images in sub-patches.
● Hybrid unsupervised and supervised machine learning approach.
● Combination of AE and MLP for features extraction and classification.
Xian-Ming Zhang, Qing-Long Han and 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.
Mostafa Bagheri, Iasson Karafyllis, Peiman Naseradinmousavi and Miroslav Krstić, "Adaptive Control of a Two-Link Robot Using Batch Least-Square Identifier," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 86-93, Jan. 2021.
● First application in robotics of regulation-triggered adaptive control with batch least-squares (BaLSI) identification.
● Performs piecewise-constant, rather than continuous, updates of parameter estimates.
● Parameter estimation settles in finite time and reaches the true unknown parameters, even in the absence of persistency of excitation.
● After a finite learning transient, recovers the performance of the non-adaptive design, including exponential regulation.
Yirui Wang, Shangce Gao, Mengchu Zhou and Yang Yu, "A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 94-109, Jan. 2021.
● A multi-layered gravitational search algorithm is proposed from the perspective of population structure.
● Hierarchical interactions among four layers enhance the proposed algorithm’s exploration and exploitation abilities.
● Population diversity and fitness diversity are discussed to understand the proposed algorithm’s search behavior.
● The proposed algorithm is applied to function optimization and real-world problems.
Wenjin Zhang, Jiacun Wang and Fangping Lan, "Dynamic Hand Gesture Recognition Based on Short-Term Sampling Neural Networks," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 110-120, Jan. 2021.
● Designed a new deep learning neural network model that integrates several state-of-the-art techniques for action recognition to tackle the complexity and performance issues in dynamic hand gesture recognition.
● Developed a novel approach to “zoom-out” the existing dataset to increase the diversity of the dataset and thus ensure the robustness of a trained model.
● The proposed network achieved a very competitive recognition performance on the two most popular hand gesture datasets, Jester and Nvidia.
Zhipeng Chen, Zhaohui Jiang, Chunjie Yang, Weihua Gui and Youxian Sun, "Dust Distribution Study at the Blast Furnace Top Based on k-Sε-up Model," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 121-135, Jan. 2021.
● A k-Sε-up model based on interphase coupling is developed to describe the dust distribution in the BF top.
● Mode and turbulent analysis theories are fused to close the model and improve model adaptability.
● A coupling factor that describes the interphase interaction is proposed.
● The aggregate features of the dust distribution are revealed.
Mehdi Firouznia and Qing Hui, "On Performance Gauge of Average Multi-Cue Multi-Choice Decision Making: A Converse Lyapunov Approach," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 136-147, Jan. 2021.
● Used a novel constructive method to prove the existence of a cost function that can put the dynamic behavior of multi-cue multi-choice decision making into an optimum perspective.
● Used a Lyapunov-based control-theoretic approach to study dynamic properties decision making models.
● Discovered a new converse Lyapunov theorem for a class of switched linear systems.
Wei He, Xinxing Mu, Liang Zhang and 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.
● 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.
● This paper considers the unknown aerodynamic perturbation of flapping wings on the torque generated by the tail wing.
● This paper designs a bounded position controller with hyperbolic tangent functions to guarantee a bounded aerodynamic force.
Zhijia Zhao and Zhijie Liu, "Finite-Time Convergence Disturbance Rejection Control for a Flexible Timoshenko Manipulator," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 157-168, Jan. 2021.
● Boundary control is proposed to suppress the vibration and deformation and position the manipulator.
● Disturbance observers are constructed to guarantee the finite-time convergence of disturbances.
● The proposed control schemes ensure the uniformly bounded stability in the system.
Mohammad Al-Sharman, David Murdoch, Dongpu Cao, Chen Lv, Yahya Zweiri, Derek Rayside and 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.
Zhou He, Ziyue Ma, Zhiwu Li and Alessandro Giua, "Parametric Transformation of Timed Weighted Marked Graphs: Applications in Optimal Resource Allocation," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 179-188, Jan. 2021.
● A transformation method is developed for Timed Weighted Marked Graphs (TWMGs).
● An analytical approach is proposed for the marking optimization problem of TWMGs.
● The proposed method is also applicable for solving cycle time optimization problem.
Xiaoxiang Na and David Cole, "Theoretical and Experimental Investigation of Driver Noncooperative-Game Steering Control Behavior," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 189-205, Jan. 2021.
● Two noncooperative-game driver steering control strategies were investigated.
● The two strategies are derived based on Nash and Stackelberg equilibria, respectively.
● The two strategies are found represent distinct driver steering control behavior.
● The Nash strategy is found capable of representing measured driver steering control.
● The Nash strategy is found superior to a classic strategy in representing driver steering control.
Guang Chen, Fa Wang, Xiaoding Yuan, Zhijun Li, Zichen Liang and 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.
● 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.
● 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.
● Providing effective feature selection and identity recognition approaches for authentication.
Shouguang Wang, Wenli Duo, Xin Guo, Xiaoning Jiang, Dan You, Kamel Barkaoui and MengChu Zhou, "Computation of an Emptiable Minimal Siphon in a Subclass of Petri Nets Using Mixed-Integer Programming," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 219-226, Jan. 2021.
● Deadlock control strategies.
● Discrete event systems.
● Mixed integer programming.
Xiaofeng Li, Lu Dong and 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.
Elene Firmeza Ohata, Gabriel Maia Bezerra, João Victor Souza das Chagas, Aloísio Vieira Lira Neto, Adriano Bessa Albuquerque, Victor Hugo C. de Albuquerque and Pedro Pedrosa Rebouças Filho, "Automatic Detection of COVID-19 Infection Using Chest X-Ray Images Through Transfer Learning," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 239-248, Jan. 2021.
● This paper presents a fast approach for detecting COVID-19 from a chest x-ray.
● Two datasets and 144 pairs of feature extractors and classifiers are analyzed.
● Accuracies of 98.5% and 95.6% and test time <1s were achieved in the datasets used.
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