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Input Structure Design for Structural Controllability of Complex Networks

IEEE/CAA Journal of Automatica Sinica 2023年第7期10卷 1571-1581页

作者： Lifu Wang Zhaofei Li Guotao Zhao Ge Guo Zhi Kong School of Control Engineering Northeastern University at QinhuangdaoQinhuangdao 066004China School of Control Engineering Northeastern University at QinhuangdaoQinhuangdao 066004 School of Automation Beijing Institute of TechnologyBeijing 100081China

This paper addresses the problem of the input design of large-scale complex *** types of network components,redundant inaccessible strongly connected component(RISCC)and intermittent inaccessible strongly connected component(IISCC)are defined,and a subnetwork called a driver network is *** on these,an efficient method is proposed to find the minimum number of controlled nodes to achieve structural complete controllability of a network,in the case that each input can act on multiple state *** range of the number of input nodes to achieve minimal control,and the configuration method(the connection between the input nodes and the controlled nodes)are *** possible input solutions can be obtained by this ***,we give an example and some experiments on real-world networks to illustrate the effectiveness of the method.

关键词： Complex network input configuration minimum controlled node set structural controllability

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Event-based nonfragile state estimation for memristive recurrent neural networks with stochastic cyber-attacks and sensor saturations

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Chinese Physics B 2024年第7期33卷 126-135页

作者：邵晓光张捷鲁延娟 School of Automation Nanjing University of Science and TechnologyNanjing 210094China School of Electronics and Information Engineering Changchun University of Science and TechnologyChangchun 130022China

This paper addresses the issue of nonfragile state estimation for memristive recurrent neural networks with proportional delay and sensor saturations. In practical engineering, numerous unnecessary signals are transmitted to the estimator through the networks, which increases the burden of communication bandwidth. A dynamic event-triggered mechanism,instead of a static event-triggered mechanism, is employed to select useful data. By constructing a meaningful Lyapunov–Krasovskii functional, a delay-dependent criterion is derived in terms of linear matrix inequalities for ensuring the global asymptotic stability of the augmented system. In the end, two numerical simulations are employed to illustrate the feasibility and validity of the proposed theoretical results.

关键词： memristor-based neural networks proportional delays dynamic event-triggered mechanism sensor saturations

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Data-driven cooperative output regulation of multi-agent systems under distributed denial of service attacks

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Science China(Information Sciences) 2023年第9期66卷 5-20页

作者： Weinan GAO Zhong-Ping JIANG State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Department of Electrical and Computer Engineering Tandon School of Engineering New York University

This paper addresses an optimal, cooperative output regulation problem for multi-agent systems with distributed denial of service attacks and unknown system dynamics. Unlike existing studies, the proposed solution is essentially a learning-based control strategy such that one can obtain a distributed control policy with internal models through online data and analyze the resilience of closed-loop systems, both without the precise knowledge of system dynamics in the state-space model. The efficiency of the proposed methodology is validated using computer simulations.

关键词： cooperative output regulation adaptive dynamic programming learning-based control multi-agent systems cybersecurity

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Nonlinear finite-time and fixed-time bipartite consensus tracking of multi-agent systems

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Cyber-Physical Systems 2023年第4期9卷 390-406页

作者： Lu, Li Xiao, Bo Han, Tao School of Electrical Engineering and Automation Hubei Normal University Huangshi China

This paper deals with the finite-time and fixed-time bipartite consensus tracking (FFBCT) problems for multi-agent systems (MASs), in which both cooperative and competition exist. Using Lyapunov stability methods, distributed nonlinear protocols are provided to ensure all agents reach agreement. Its absolute value is the same but it might be different in direction. Besides, the second protocol can make the system reach bipartite consensus in fixed time regardless of the initial state of agents. Moreover, boundaries for settling times are estimated. Some numerical examples are finally presented to prove the validity of our designs. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Multi agent systems

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Paper-based aqueous Al ion battery with water-in-salt electrolyte

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Green Energy & Environment 2023年第5期8卷 1380-1388页

作者： Yifei Wang Wending Pan Kee Wah Leong Yingguang Zhang Xiaolong Zhao Shijing Luo Dennis Y.C.Leung School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen518055China Department of Mechanical Engineering The University of Hong KongHong KongChina

Low-cost,flexible and safe battery technology is the key to the widespread usage of wearable electronics,among which the aqueous Al ion battery with water-in-salt electrolyte is a promising *** this work,a flexible aqueous Al ion battery is developed using cellulose paper as *** water-in-salt electrolyte is stored inside the paper,while the electrodes are either printed or attached on the paper surface,leading to a lightweight and thin-film battery ***,this battery can tolerate a charge and discharge rate as high as 4 A g^(-1) without losing its storage *** charge voltage is around 2.2 V,while the discharge plateau of 1.6–1.8 V is among the highest in reported aqueous Al ion batteries,together with a high discharge specific capacity of~140 mAh g^(-1).However,due to the water electrolysis side reaction,the faradaic efficiency can only reach 85%with a cycle life of 250 due to the dry out of *** from using flexible materials and aqueous electrolyte,this paper-based Al ion battery can tolerate various deformations such as bending,rolling and even puncturing without losing its *** two single cells are connected in series,the battery pack can provide a charge voltage of 4.3 V and a discharge plateau as high as 3–3.6 V,which are very close to commercial Li ion *** a cheap,flexible and safe battery technology may be widely applied in low-cost and large-quantity applications,such as RFID tags,smart packages and wearable biosensors in the future.

关键词： Al ion battery Aqueous electrolyte Water-in-salt Paper battery Flexible battery

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MVContrast:Unsupervised Pretraining for Multi-view 3D Object Recognition

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Machine Intelligence Research 2023年第6期20卷 872-883页

作者： Luequan Wang Hongbin Xu Wenxiong Kang School of Automation Science and Engineering South China University of TechnologyGuangzhou510641China

3D shape recognition has drawn much attention in recent *** view-based approach performs best of ***,the current multi-view methods are almost all fully supervised,and the pretraining models are almost all based on *** the pretraining results of ImageNet are quite impressive,there is still a significant discrepancy between multi-view datasets and ***-view datasets naturally retain rich 3D *** addition,large-scale datasets such as ImageNet require considerable cleaning and annotation work,so it is difficult to regenerate a second *** contrast,unsupervised learning methods can learn general feature representations without any extra *** this end,we propose a three-stage unsupervised joint pretraining ***,we decouple the final representations into three fine-grained *** augmentation is utilized to obtain pixel-level representations within each *** we boost the spatial invariant features from the view ***,we exploit global information at the shape level through a novel extract-and-swap *** results demonstrate that the proposed method gains significantly in 3D object classification and retrieval tasks,and shows generalization to cross-dataset tasks.

关键词： Multi view unsupervised pretraining contrastive learning 3D vision shape recognition

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RESEARCH ON RAILWAY TRACK EDGE DETECTION BASED ON BM3D AND ZERNIKE MOMENTS

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Archives of Transport 2023年第4期68卷 7-20页

作者： Wang, Nan Hou, Tao Zhang, Tianming School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou China

With the rapid development of intelligent rail transportation, the realization of intelligent detection of railroad foreign body intrusion has become an important topic of current research. Accurate detection of rail edge location, and then delineate the danger area is the premise and basis for railroad track foreign object intrusion detection. The application of a single edge detection algorithm in the process of rail identification is likely to cause the problem of missing important edges and weak gradient change edges of railroad tracks. It will affect the subsequent detection of track foreign objects. A combined global and local edge detection method is proposed to detect the edges of railroad tracks. In the global pixel-level edge detection, an improved blok-matching and 3D filtering (BM3D) algorithm combined with bilateral filtering is used for denoising to eliminate the interference information in the complex environment. Then the gradient direction is added to the Canny operator, the computational template is increased to achieve non-extreme value suppression, and the Otsu thresholding segmentation algorithm is used for thresholding improvement. It can effectively suppress noise while preserving image details, and improve the accuracy and efficiency of detection at the pixel level. For local subpixel-level edge detection, the improved Zernike moment algorithm is used to extract the edges of the obtained pixel-level images and obtain the corresponding subpixel-level images. It can enhance the extraction of tiny feature edges, effectively reduce the computational effort and obtain the subpixel edges of the orbit images. The experimental results show that compared with other improved algorithms, the method proposed in this paper can effectively extract the track edges of the detected images with higher accuracy, better preserve the track edge features, reduce the appearance of pseudo-edges, and shorten the edge detection time with certain noise immunity, which

关键词： Edge detection

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Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1819-1835页

作者： Kangjia Qiao Jing Liang Kunjie Yu Xuanxuan Ban Caitong Yue Boyang Qu Ponnuthurai Nagaratnam Suganthan School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001China School of Electrical Engineering and Automation Henan Institute of TechnologyXinxiang 453003China School of Electronic and Information Zhongyuan University of TechnologyZhengzhou 450007China KINDI Center for Computing Research College of EngineeringQatar UniversityDoha 999043Qatar

Constrained multi-objective optimization problems(CMOPs)generally contain multiple constraints,which not only form multiple discrete feasible regions but also reduce the size of optimal feasible regions,thus they propose serious challenges for *** all constraints,some constraints are highly correlated with optimal feasible regions;thus they can provide effective help to find feasible Pareto ***,most of the existing constrained multi-objective evolutionary algorithms tackle constraints by regarding all constraints as a whole or directly ignoring all constraints,and do not consider judging the relations among constraints and do not utilize the information from promising single ***,this paper attempts to identify promising single constraints and utilize them to help solve *** be specific,a CMOP is transformed into a multitasking optimization problem,where multiple auxiliary tasks are created to search for the Pareto fronts that only consider a single constraint ***,an auxiliary task priority method is designed to identify and retain some high-related auxiliary tasks according to the information of relative positions and dominance ***,an improved tentative method is designed to find and transfer useful knowledge among *** results on three benchmark test suites and 11 realworld problems with different numbers of constraints show better or competitive performance of the proposed method when compared with eight state-of-the-art peer methods.

关键词： Constrained multi-objective optimization(CMOPs) evolutionary multitasking knowledge transfer single constraint.

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Bidding Strategy for Hybrid PV-BESS Plants via Knowledge-data-complementary Learning

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Journal of Modern Power Systems and Clean Energy 2025年第1期13卷 365-378页

作者： Xiaoge Huang Zhenhuan Ding Zhao Liu Tianqiao Zhao Pei Zhang Xiaojun Wang Department of Electrical and Computer Engineering State University of New York at BinghamtonBinghamtonUSA School of Artificial Intelligence Anhui UniversityHefei 230601China School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China Brookhaven National Lab UptonUSA School of Electrical Automation and Information Engineering Tianjin UniversityTianjin 300072China

The hybrid photovoltaic(PV)-battery energy storage system(BESS)plant(HPP)can gain revenue by performing energy arbitrage in low-carbon power ***,multiple operational uncertainties challenge the profitability and reliability of HPP in the day-ahead *** paper proposes two coherent models to address these ***,a knowledge-driven penalty-based bidding(PBB)model for HPP is established,considering forecast errors of PV generation,market prices,and under-generation ***,a data-driven dynamic error quantification(DEQ)model is used to capture the variational pattern of the distribution of forecast *** role of the DEQ model is to guide the knowledgedriven bidding ***,the DEQ model aims at the statistical optimum,but the knowledge-driven PBB model aims at the operational *** two models have independent optimizations based on misaligned *** address this,the knowledge-data-complementary learning(KDCL)framework is proposed to align data-driven performance with knowledge-driven objectives,thereby enhancing the overall performance of the bidding strategy.A tailored algorithm is proposed to solve the bidding *** proposed bidding strategy is validated by using data from the National Renewable Energy Laboratory(NREL)and the New York Independent System Operator(NYISO).

关键词： Hybrid power plant(HPP) photovoltaic(PV) battery energy storage system(BESS) optimization uncertainty bidding strategy error quantification knowledge-data-complementary learning

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Optimal urban EV charging station site selection and capacity determination considering comprehensive benefits of vehicle-station-grid

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iEnergy 2024年第3期3卷 162-174页

作者： Hongwei Li Yufeng Song Jiuding Tan Yi Cui Shuaibing Li Yongqiang Kang Haiying Dong School of Automation and Electrical Engineering Lanzhou Jiaotong UniversityLanzhou 730070China School of New Energy and Power Engineering Lanzhou Jiaotong UniversityLanzhou 730070China School of Engineering University of Southern QueenslandSpringfield 4300Australia

This paper presents an optimization model for the location and capacity of electric vehicle(EV)charging *** model takes the multiple factors of the“vehicle-station-grid”system into ***,ArcScene is used to couple the road and power grid models and ensure that the coupling system is strictly under the goal of minimizing the total social cost,which includes the operator cost,user charging cost,and power grid *** immune particle swarm optimization algorithm(IPSOA)is proposed in this paper to obtain the optimal coupling *** simulation results show that the algorithm has good convergence and performs well in solving multi-modal *** also balances the interests of users,operators,and the power *** with other schemes,the grid loss cost is reduced by 11.1%and 17.8%,and the total social cost decreases by 9.96%and 3.22%.

关键词： EVs charging station site selection and capacity determination ArcScene immune particle swarm optimization algorithm(IPSOA) road electrical coupling

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