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3rd International Conference on Power Systems and Electrical Technology, PSET 2024

作者： Fang, Jingyang Jiang, Qin Yang, Hanqing Shandong University School of Control Science and Engineering Jinan China Sichuan University College of Electrical Engineering Chengdu China University of Electronic Science and Technology of China School of Automation Chengdu China

ISBN: (纸本)9798350353204

Extremely high current/voltage stresses challenge power electronics. This paper proposes a novel series of power converters, collectively referred to as Fractal (F) converters. F converters consist of several identical layers, which further comprise many identical cells or submodules. Salient benefits of F converters include but not limited to 1) modularity and scalability;2) boundless current and voltage ratings;3) high power quality;4) unified control applied to various layers;5) high reliability;6) control flexibility, e.g., for efficiency optimization. F converters will quickly find their applications in 1) high-voltage dc/ac transmissions;2) renewable energy generation;3) power quality enhancement equipment;4) electric vehicles;5) marine and aircraft propulsion;6) medical applications such as noninvasive magnetic stimulators;7) high-frequency high-power power supplies;8) plasma applications;9) future distributed power grids. For validations, simulation results are presented, demonstrating that F converters operate well as high-voltage and high-current inverters as well as arbitrary pulse generators. © 2024 IEEE.

关键词： Power converters

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Enhanced UAV Pursuit-Evasion Using Boids Modelling:A Synergistic Integration of Bird Swarm Intelligence and DRL

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Computers, Materials & Continua 2024年第9期80卷 3523-3553页

作者： Weiqiang Jin Xingwu Tian Bohang Shi Biao Zhao Haibin Duan Hao Wu School of Information and Communications Engineering Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an710049China China Academy of Electronics and Information Technology China Electronics Technology Group Corporation(CETC)Beijing100041China Department ofAutomatic Control School of Automation Science and Electrical EngineeringBeihangUniversityBeijing100191China

TheUAV pursuit-evasion problem focuses on the efficient tracking and capture of evading targets using unmanned aerial vehicles(UAVs),which is pivotal in public safety applications,particularly in scenarios involving intrusion monitoring and *** address the challenges of data acquisition,real-world deployment,and the limited intelligence of existing algorithms in UAV pursuit-evasion tasks,we propose an innovative swarm intelligencebased UAV pursuit-evasion control framework,namely“Boids Model-based DRL Approach for Pursuit and Escape”(Boids-PE),which synergizes the strengths of swarm intelligence from bio-inspired algorithms and deep reinforcement learning(DRL).The Boids model,which simulates collective behavior through three fundamental rules,separation,alignment,and cohesion,is adopted in our *** integrating Boids model with the Apollonian Circles algorithm,significant improvements are achieved in capturing UAVs against simple evasion *** further enhance decision-making precision,we incorporate a DRL algorithm to facilitate more accurate strategic *** also leverage self-play training to continuously optimize the performance of pursuit *** experimental evaluation,we meticulously designed both one-on-one and multi-to-one pursuit-evasion scenarios,customizing the state space,action space,and reward function models for each *** simulations,supported by the PyBullet physics engine,validate the effectiveness of our proposed *** overall results demonstrate that Boids-PE significantly enhance the efficiency and reliability of UAV pursuit-evasion tasks,providing a practical and robust solution for the real-world application of UAV pursuit-evasion missions.

关键词： UAV pursuit-evasion swarm intelligence algorithm Boids model deep reinforcement learning self-play training

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Aerial refueling scheduling of multi-receiver and multi-tanker under spatial-temporal constraints for forest firefighting

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Chinese Journal of Aeronautics 2024年第5期37卷 71-91,I0001页

作者： Jing HUANG Jiaqi XING Jinrui REN Quan QUAN Youmin ZHANG Department of Information and Control Engineering Xi’an University of TechnologyXi’an 710048China Jiujiang Measuring Test Technology Research Institute Jiujiang 332000China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Automation Xi’an University of Posts&TelecommunicationsShaanxiXi’an 710121China Department of Mechanical Industrial and Aerospace EngineeringConcordia UniversityMontreal H3G 1M8Canada

Forest fires pose a significant threat to human life and property,so the utilization of unmanned aircraft systems provides new ways for forest *** the constrained load capacities of these aircraft,aerial refueling becomes crucial to extend their operational time and *** order to address the complexities of firefighting missions involving multi-receiver and multi-tanker deployed from various airports,first,a fuel consumption calculation model for aerial refueling scheduling is established based on the receiver ***,two distinct methods,including an integrated one and a decomposed one,are designed to address the challenges of establishing refueling airspace and allocating tasks for *** methods aim to optimize total fuel consumption of the receivers and tankers within the aerial refueling scheduling *** optimization problem is established as nonlinear optimization models along with *** integrated method seamlessly combines refueling rendezvous point scheduling and tanker task allocation into unified *** has a complete solution space and excels in optimizing total fuel *** decomposed method,through the separation of rendezvous point scheduling and task allocation,achieves a reduced computational ***,this comes at the cost of sacrificing optimality by excluding specific feasible ***,numerical simulations are carried out to verify the feasibility and effectiveness of the proposed *** simulations yield insights crucial for the practical engineering application of both the integrated and decomposed methods in real-world *** comprehensive approach aims to enhance the efficiency of forest firefighting operations,mitigating the risks posed by forest fires to human life and property.

关键词： Aerial refueling Scheduling Planning Spatial-temporal constraint Firefighting

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Differentially Private Distributed Parameter Estimation

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Journal of Systems science & Complexity 2023年第1期36卷 187-204页

作者： WANG Jimin TAN Jianwei ZHANG Ji-Feng School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

Data privacy is an important issue in control systems,especially when datasets contain sensitive information about *** this paper,the authors are concerned with the differentially private distributed parameter estimation problem,that is,we estimate an unknown parameter while protecting the sensitive information of each ***,the authors propose a distributed stochastic approximation estimation algorithm in the form of the differentially private consensus+innovations(DP-CI),and establish the privacy and convergence property of the proposed ***,it is shown that the proposed algorithm asymptotically unbiased converges in mean-square to the unknown parameter while differential privacy-preserving holds for finite number of ***,the exponentially damping step-size and privacy noise for DP-CI algorithm is *** estimate approximately converges to the unknown parameter with an error proportional to the step-size parameter while differential privacy-preserving holds for all *** tradeoff between accuracy and privacy of the algorithm is effectively ***,a simulation example is provided to verify the effectiveness of the proposed algorithm.

关键词： Differential privacy distributed parameter estimation stochastic approximation

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Multi-hypothesis Tracking Algorithm for Missile Group Targets

Multi-hypothesis Tracking Algorithm for Missile Group Target...

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2024 IEEE International Conference on Unmanned Systems, ICUS 2024

作者： Yang, Yueqi Yan, Tao Shen, Jiajie Sun, Guoqiang Tian, Zhenpo Ju, Wen School of Automation Science and Engineering Xi'an Jiaotong University Xi'an China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9798350384185

This paper addresses the challenge of group targets tracking in complex environments, aiming to enhance the real-time performance and accuracy of tracking systems by optimizing multi-dimensional assignment strategy for selecting the globally optimal hypothesis. A new tracking algorithm named Ballistic Track-Oriented MHT (BTOMHT) is proposed. This algorithm introduces Lagrangian multipliers to achieve effective dimensionality reduction, thereby significantly decreases the computation complexity of data association in multi-dimensional spaces for group targets. Simulations demonstrate that compared with the Global Nearest Neighbor algorithm, BTOMHT not only sustains high precision but also has a great performance in complex dynamic tracking scenarios. It can enhance the efficiency of both target detection and tracking and concurrently bolster overall system stability in tracking tasks. The efficiency of the proposed algorithm is validated across two assessment indices. The algorithm contributes to the theoretical framework of multi-target tracking and furnishes technical support for applications in military defense. © 2024 IEEE.

关键词： Target tracking

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Aperiodically Intermittent control Approach to Finite-Time Synchronization of Delayed Inertial Memristive Neural Networks

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第4期6卷 1014-1023页

作者： Jiang, Yuxin Zhu, Song Shen, Mouquan Wen, Shiping Mu, Chaoxu School of Mathematics Xuzhou221116 China Nanjing Technology University College of Electrical Engineering and Control Science Nanjing211816 China University of Technology Sydney Centre for Artificial Intelligence UltimoNSW2007 Australia Tianjin University School of Electrical and Automation Engineering Tianjin300072 China

This article investigates the finite-time synchronization (FTS) for inertial memristive neural networks (IMNNs) with time-delays by the aperiodically intermittent control approach. Compared with the reduced-order method utilized in the existing literature, this article considers the FTS of delayed IMNNs directly without order reduction. First, the error IMNNs with time-delays is designed through the theories of set-valued mappings and differential inclusions, and its finite-time stability problem is discussed by applying the finite-time stability theorem. Furthermore, by constructing nonperiodic intermittent state-feedback controller and nonperiodic intermittent adaptive control strategy, the sufficient criteria to ensure the FTS of the master-slave delayed IMNNs are derived, and the settling times are explicitly estimated. Finally, a simulation to confirm the availability of results is provided. © 2020 IEEE.

关键词： Time delay

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Object recognition and grasp detection in complex scenarios for home service robot

Object recognition and grasp detection in complex scenarios ...

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2024 China automation Congress, CAC 2024

作者： Xu, Shengjun Bai, Liang Zhong, Huangwei Hu, Yuji Sun, Xiangcai Lyu, Hongqiang School of Information and Control Engineering Xi'an University of Architecture and Technology Xi’an China School of Automation Science and Engineering Faculty of Electronic and Information Engineering Xi’an Jiaotong University Xi’an China

ISBN: (纸本)9798350368604

With the development of artificial intelligence, home service robots have been widely applied in daily life. As one of the fundamental functions of service robots, object grasping helps improve the level of unmanned and intelligent household. However, traditional robots still face challenges in flexibility and accuracy in complex home environments. In this paper, an object recognition and grasp detection system in complex scenarios for home service robots is proposed. The system consists of four modules: image acquisition, human-machine interaction software, RGB-D image processing, and robot control. The image acquisition module captures RGB and depth images of the work area and sends them to the software. The RGB-D image processing module begins with object recognition to obtain object categories and bounding box with the help of YOLOv8. The target point cloud is produced by combining the target subimage and corresponding depth information, followed by depth completion and plane expansion. Then the processed point cloud is fed into a Graspnet pose estimation network to calculate the 6D grasping pose for service robot. And finally, the robot control module is invoked to carry out the corresponding target grasping action. To evaluate the performance, an experimental platform for home service robot is built to grasp various daily necessities. The results tell that the average accuracy for object recognition reaches up to 98.3%, the success rate for single-target grasping is 94.4%, and the success rate for multi-target grasping can achieve 80%. © 2024 IEEE.

关键词： Image acquisition

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Unformer: A Transformer-Based Approach for Adaptive Multiscale Feature Aggregation in Underwater Image Enhancement

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第4期6卷 1024-1037页

作者： Qing, Yuhao Wang, Yueying Yan, Huaicheng Xie, Xiangpeng Wu, Zhengguang Shanghai University School of Mechatronic Engineering and Automation Shanghai200444 China East China University of Science and Technology School of Information Science and Engineering Shanghai200237 China Nanjing University of Posts and Telecommunications Institute of Advanced Technology Nanjing210023 China Zhejiang University Institute of Cyber-Systems and Control Hangzhou310027 China

Underwater imaging is often compromised by light scattering and absorption, resulting in image degradation and distortion. This manifests as blurred details, color shifts, and diminished illumination and contrast, thereby hindering advancements in underwater research. To mitigate these issues, we propose Unformer, an innovative underwater image enhancement (UIE) technique that leverages a transformer-based architecture for multiscale adaptive feature aggregation. Our approach employs a multiscale feature fusion strategy that adaptively restores illumination and detail features. We reevaluate the relationship between convolution and transformer to develop a novel encoder structure. This structure effectively integrates both long-range and short-range dependencies, dynamically combines local and global features, and constructs a comprehensive global context. Furthermore, we propose a unique multibranch decoder architecture that enhances and efficiently extracts spatial context information through the transformer module. Extensive experiments on three datasets demonstrate that our proposed method outperforms other techniques in both subjective and objective evaluations. Compared with the latest methods, Unformer has improved the peak signal-to-noise ratio (PSNR) by 19.5% and 14.8% respectively on the LSUI and EUVP datasets. The code is available at: https://***/yhflq/Unformer. © 2024 IEEE.

关键词： Light scattering

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Structured controller Design for Interconnected Systems via Nonlinear Programming

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1331-1334页

作者： Yanpeng Guan Junpeng Du Xinchun Jia School of Automation and Software Engineering Shanxi UniversityTaiyuan 030006China School of Control Science and Engineering Dalian University of TechnologyDalian 116024China IEEE

Dear Editor,This letter deals with the structural controller design problem of interconnected systems with unknown feedback ***,under a cardinality constraint on the directed communication links among sub-controllers,a distributed controller’s feedback gain and feedback topology are incorporated in a unified co-design ***,the cardinality constraint introduced in the distributed control is represented by a binary integer *** deal with the complementary constraint,a nonlinear programming(NLP)is proposed to relax the binary integer ***,incorporating the NLP into the standard distributed event-triggered control method,an algorithm is developed for interconnected systems to simultaneously design the feedback topology and controller *** interconnected system is composed of several coupling subsystems,which usually coordinate with each other to accomplish a common task.

关键词： constraint integer topology

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Optimal Tracking control for Leader-Following Consensus of Nonlinear Multiagent Systems

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3098-3107页

作者： Su, Wei Mu, Chaoxu Yang, Xiong Bian, Jinshan Sun, Changyin Tianjin University School of Control Science and Engineering Tianjin300072 China Anhui University Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Hefei230601 China Anhui University School of Artificial Intelligence Hefei230000 China Southeast University School of Automation Nanjing210096 China

This article investigates distributed adaptive leader-following consensus tracking optimal control problem for nonlinear multiagent systems (MASs) subject to unknown nonlinearities and uncertain external disturbances. In contrast to traditional centralized control, the primary challenge is that only partial subsystems can access the desired reference trajectory. To address this, positive time-varying smooth function compensating terms are introduced to counteract the effects of uncertain external disturbances and unknown desired trajectories. Then, by fusing consensus errors into the backstepping technique, feedforward controllers are given. On this basis, the controlled nonlinear systems are transformed into an equivalent affine form, and feedback optimal controllers are designed using actor and critic neural networks (NNs) to execute control behavior and evaluate control performance. The whole control laws comprise both feedforward and feedback controllers. The proposed distributed adaptive consensus control protocol can simultaneously achieve desired optimal control performance and minimize the cost function, as demonstrated through theoretical analysis and simulation results. © 2025 IEEE.

关键词： Cost functions

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