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1st Electrical Artificial Intelligence Conference, EAIC 2024

作者： Song, Yanxia Lu, Mai Key Laboratory of Opto-Electronic Technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University No. 88 Anning West Road Anning District Lanzhou730070 China

ISBN: (纸本)9789819640669

This work aims to present the dosimetry analysis of electromagnetic fields induced by a DC/DC converter installed in an electric vehicle (EV). This paper employs a finite element simulation software to construct an electromagnetic environment model of an adult male in the driver's seat of the EV when the DC/DC converter is in operation, and quantitatively analyze the magnetic flux density (B) and the induced electric field (E) of the driver and the head important tissues. The numerical calculation results are moreover compared with the electromagnetic exposure limits set by the International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines to assess the safety of the driver's electromagnetic exposure. The results show that the peaks B and E in the driver's whole body are 0.011 μT and 3.39 mV/m, accounting for 0.04% and 0.025% of the ICNIRP limits, respectively, and both appear at the driver's right foot areas. The cerebrospinal fluid tissue has the largest peak B value of 1.98 × 10−3 μT among the driver's head tissues. In the head's coronary, axial, and sagittal planes, the peak E is all 0.94 mV/m, emerging in slices nearest to the converter and gradually diminishing with distance. All the results remain within the safety margins set by the ICNIRP guidelines, signifying that the DC/DC converter poses no health risks to the driver. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Dosimetry

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Image-Spectrum Collaborative Detecting System for Dynamic Target Detection 10

Image-Spectrum Collaborative Detecting System for Dynamic Ta...

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10th Symposium on Novel optoelectronic Detection technology and Applications

作者： Gu, Luo Hou, Linbao Lin, Yue Wang, Xiang Yang, Qiujie He, Zhiping Key Laboratory of Space Active Opto-electronic Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China Shanghai Aerospace Control Technology Institute Shanghai201109 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

Remote detection and identification of small targets has been the significant issue in areas of industry and business. For example, a number of drone invasion affairs happen around the civil airports in recent years, which seriously affect the international shipping and do great damage to international economy even passengers' lives. Detection of the dynamic small target poses a great challenge to detecting equipment. Traditional small target detecting technologies are based on optical imaging, depending on the morphological characteristics of target's image across the focal plane. In other words, traditional detecting and imaging methods work only in the case where the image of small target occupies enough pixels. In the case of dynamic and small target detection, the morphological characteristics of target's image largely degenerate and current technologies are difficult to work well. In this paper, an optical system of image-spectrum collaborative detecting is presented. With ingeniously designed redirection optics integrated, the proposed system allows for the easy detection and identification of the dynamic and small targets. Operating principle of image-spectrum collaborative detecting is elaborated. An imaging channel with field of view no less than 2°is designed at first, and then a spectrum measuring channel is designed and combined with the imaging channel. The imaging channel takes the role in detecting target, and the direction information from the imaging channel is transferred to the spectrum measuring channel. Under the guidance of azimuth and elevation, the system can identify the dynamic and small target by accurately measuring the characteristic spectrum which is referred to as the object's fingerprint. With more sophisticated optical design, a detecting system with large field of view can be obtained. The presented system in this paper shows a great potential in solving the problem of detecting and identifying the dynamic and small targets. © 2025

关键词： Optical design

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Learning-Based Predictive control of Switched Nonlinear Systems via Koopman Modeling Approach

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Journal of Systems Science & Complexity 2025年第2期38卷 691-716页

作者： NING Zepeng FANG Xu LI Yibei XIE Lihua School of Electrical and Electronic Engineering Nanyang Technological University Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences

This paper proposes a data-driven learning-based approach to predictive control for switched nonlinear systems subject to state and control constraints and external stochastic disturbances. A switched Koopman modeling framework is developed, where a multi-mode neural network for state lifting is trained simultaneously with Koopman operators and state reconstruction matrices for all *** framework facilitates the construction of the switched linear Koopman model in a transformed space and effectively captures the dynamics of the original nonlinear system. A switched predictive control strategy is then designed to regulate the switched Koopman model with constrained states and control inputs against both the stochastic disturbances and the uncertainties introduced by the lifting neural network. The proposed control scheme ensures mean-square stability and guarantees boundedness during the online phase. Furthermore, boundedness analysis is performed to determine the bounded set of the original system state across all admissible switching sequences. The effectiveness of the proposed methodology is demonstrated through a case study of a gene regulatory network.

关键词： Data-driven machine learning model predictive control stochastic systems switched Koopman model switched nonlinear systems

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Improved quantum image weighted average filtering algorithm

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Quantum Information Processing 2025年第5期24卷 1-24页

作者： Yuan, Suzhen Li, Xianli Yinxia, Shu Qing, Xianrong Deng, Jermiah D. College of Opto Electronic Engineering Chongqing University of Posts and Telecommunications Chongqing Chongqing400065 China School of Computing University of Otago Dunedin Dunedin9054 New Zealand School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing Chongqing400065 China Chongqing Key Laboratory of Computational Intelligence Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security Ministry of Education Chongqing University of Posts and Telecommunications Chongqing Chongqing400065 China

Average filtering plays a vital role in image smoothing tasks. However, existing quantum image weighted average filtering methods suffer from high circuit complexity. Therefore, this paper proposes an improved quantum color image weighted average filtering algorithm and its corresponding quantum circuit. First, we improve the quantum circuit to prepare classical color images into a quantum state. Then, an improved quantum divider is developed, and a weighted average filter is constructed using basic quantum image processing modules. Next, to enhance the universality of the filter, a quantum comparator with lower circuit complexity is used to design a noise detection module for distinguishing noise from real signals. Finally, a quantum circuit for color image weighted average filtering is designed, and simulations are conducted on the IBM Quantum Experience (IBM Q) platform to verify the feasibility of our algorithm. The analysis shows that compared with existing methods, this method significantly reduces the circuit complexity and has better filtering performance. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Image enhancement

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Research on the Characteristics of Multi-Outlet Internal Rotary Nozzle 14th

Research on the Characteristics of Multi-Outlet Internal Rot...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Jiang, Wenbo Xu, Weipeng College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China

ISBN: (纸本)9789819626243

This paper proposes a multi-outlet internal rotating nozzle structure to address the issues of soot generation and friction/wear associated with mineral mining. The atomization and jet characteristics of the nozzle are simulated and analysed using CFD software, and the effects of initial pressure and outlet diameter on the jet effect of the internal rotating nozzle are investigated. The findings indicate that the jet velocity in the lateral exit channel and the canter exit of the multi-outlet nozzle increases with an increase in the initial pressure. Conversely, the exit flow velocity of the nozzle at a constant initial pressure shows a gradual decrease with an increase in the exit diameter. At low pressure and outlet diameter, the atomization effect of the nozzle is not significant. However, the atomization angle increases gradually with an increase in the initial pressure and outlet diameter. Under the same pressure, the atomization angle shows a tendency of increasing and then decreasing with the increase of outlet diameter. And the best atomization angle is obtained when the outlet diameter is 1.3 mm and the initial pressure is 0.7 MPa. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Nozzles

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Force Analysis and Reliability Improvement Method for the Conical Picks of the Coal Mining Machine Drum 14th

Force Analysis and Reliability Improvement Method for the Co...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Wang, Shuxue Xu, Weipeng College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China

ISBN: (纸本)9789819626243

In response to the situation where the first blade pick of a coal mining machine is prone to failure when cutting hard coal, the working process of the drum was simulated using finite element method. The force on the pick at different positions was obtained, and the main reasons for the failure of the first blade pick were analyzed. The effectiveness and practicality of reducing the force on the first blade pick were proposed and simulated. The research results indicate that the force on the first blade tooth can be effectively reduced by increasing the diameter of the end disk. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Coal mines

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Research on Meshing Characteristics and Vibration of Aluminum Miner Based on MASTA 14th

Research on Meshing Characteristics and Vibration of Aluminu...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Dong, Guanzhan Xu, Weipeng Gao, Kuidong College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China

ISBN: (纸本)9789819626243

Aiming at the mechanical continuous operation of bauxite mining process, firstly, an improved scheme of cutting bauxite with an 8-pole motor shearer is proposed, which is practical and feasible, and a 3D model is established in Solid Edge. Secondly, considering the higher meshing frequency of high-speed gear in the cutting part, the meshing characteristics under different loads were investigated by MASTA software, and the laws of contact stress, meshing dislocation and trans-mission error were obtained. Finally, the vibration displacement of one axis is obtained in view of the significant influence of individual order energy on the vibration of the shell under rated working conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Bauxite deposits

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Noncollocated Output Feedback control for the Semilinear Parabolic PDEs Under Input and Output Quantization

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IEEE Transactions on Automatic control 2025年第5期70卷 2934-2947页

作者： Zhao, Xuena Liu, Zhijie Zhang, Shuang Liu, Yu He, Wei University of Science and Technology Beijing Institute of Artificial Intelligence Key Laboratory of Perception and Control of Intelligent Bionic Unmanned Systems Ministry of Education School of Intelligence Science and Technology Beijing100083 China School of Automation Science and Engineering Engineering Research Center of Precision Electronic Manufacturing Equipment of Ministry of Education Guangzhou510640 China Institute of Artificial Intelligence Key Laboratory of Perception and Control of Intelligent Bionic Unmanned Systems Ministry of Education School of Intelligence Science and Technology Beijing100083 China School of Automation Beijing102206 China

In the context of increasingly networked control systems, this article concentrates on the noncollocated control issue of input and output quantization for industrial processes governed by semilinear parabolic partial differential equation (PDE) systems. Both the control and measurement signals are quantized and transmitted through the network, which causes signal errors and reduces the stability and robustness of the system. A Luenberger-type PDE observer is developed to overcome the control difficulty of quantized measurement feedback signals and noncollocated pointwise sensors. Based on the observed value, a feedback controller is proposed, which undergoes quantization and operates on the distributed actuators within the domain. By employing the Lyapunov direct method, it is demonstrated that the observer can accurately track the system state with exponential precision, and the closed-loop system is exponentially converged. The well-posedness analysis of the closed-loop system is discussed via the C0-semigroup method. The performance of the developed control strategy is validated through simulation examples. © 1963-2012 IEEE.

关键词： Feedback control

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Seeking Secure Synchronous Tracking of Networked Agent Systems Subject to Antagonistic Interactions and Denial-of-Service Attacks

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第5期6卷 1309-1320页

作者： Li, Weihao Shi, Lei Shi, Mengji Yue, Jiangfeng Lin, Boxian Qin, Kaiyu University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Henan University School of Artificial Intelligence Zhengzhou450046 China

Inspired by the group phenomenon of biological populations in nature, swarm intelligence has been derived and has further advanced the research of coordinated control of networked agent systems (NASs). With this in mind, this article delves into the problem of secure synchronous tracking control for high-order NASs subject to antagonistic interactions, particularly under the threat of denial-of-service (DoS) attacks. First, a novel distributed secure control scheme is crafted to address the complex dynamics of NASs that encompass both cooperative and antagonistic interactions among agents. This scheme is pivotal as it enables follower agents to synchronize their tracking with the leader agent, even amidst the disruptive influence of DoS attacks, transcending the conventional bipartite tracking consensus approach. Subsequently, a dynamic, time-varying closed-loop system is generated, which is intrinsically linked to the intermittent nature of DoS attacks, characterized by periods of dormancy and activity. Based on the infinite matrix product convergence analysis method, some essential algebraic conditions are formulated, which hinge on the parameters of DoS attacks, the underlying network structure, and the gain of the controller. These conditions are critical for guaranteeing the attainment of robust synchronous tracking. Finally, some numerical simulation examples are provided to verify the effectiveness of the proposed secure synchronous tracking control scheme for high-order NASs with signed networks. That is, all followers are able to achieve synchronous tracking of the leader when the corresponding topology, as well as control parameter conditions, are satisfied, and the opposite is not possible. © 2020 IEEE.

关键词： Swarm intelligence

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Swarm-Based Dynamic Coverage of Multi-ASV Systems in the Presence of Measurement Noises

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IEEE Transactions on Vehicular technology 2025年第5期74卷 7237-7250页

作者： Liu, Lu Jiao, Shijian Han, Bing Li, Tieshan Peng, Zhouhua Dalian Maritime University School of Marine Electrical Engineering Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China State Key Laboratory of Maritime Technology and Safety Dalian116026 China Shanghai Ship and Shipping Research Institute National Engineering Research Center of Ship & Shipping Control System Shanghai200135 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

This paper is concerned with the dynamic coverage of multiple autonomous surface vehicles (ASVs) in the presence of static and dynamic obstacles, limited communication distance, and measurement noises. A modular control method including planning, guidance, and control is proposed. At the planning level, a swarm-based dynamic coverage strategy is developed to achieve the coverage of a given domain. Both the collision avoidance and connectivity preservation issues are solved by using artificial potential fields. At the kinematic level, novel adaptive line-of-sight guidance laws are presented based on cascade extended state observers (CESOs), such that accurate guidance signals are given by compensating for time-varying sideslip angle and suppressing measurement noises. At the kinetic level, two CESOs are developed to estimate the internal model uncertainties and external environmental disturbance, and antidisturbance kinetic control laws are designed subsequently. The proposed CESOs overcome the noises sensitivity problem of classical observers, and thus facilitate the practical implementation under measurement noises. The input-to-state stability of the closed-loop system is confirmed by the Lyapunov theory and cascade stability theory. Simulation and hardware-in-the-loop experiment results are provided to demonstrate the effectiveness of the proposed swarm-based dynamic coverage method. © 1967-2012 IEEE.

关键词： Velocity measurement

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