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第42届中国控制会议

作者： Yaojun Liu Xingwen Liu Nyima Tashi Lab.of Complex Systems & Intelligent Control Key Lab.of Electronic Information of State Ethnic Affairs CommissionCollege of Electrical EngineeringSouthwest Minzu University Engineering Research Center for Tibetan Information Processing School of Information Science and TechnologyTibet University

Cooperative behavior has been of great concern in evolutionary game researches because of its important role in social life and natural *** memory can greatly influence the emergence of cooperative behavior,memory-based research on evolutionary games has proliferated in recent *** the present paper,inspired by the well-known "Stanford marshmallow experiment"(SME),we proposed a multi-memory mechanism in Snowdrift game(SDG) on spatial lattice networks whose core lies in what follows:Players are divided into two groups according to individual self-control;different memory lengths are set by group and by time in a single *** simulation results show that our proposed mechanism promotes cooperation level of the considered evolutionary *** specifically,as memory length increases to an intermediate length,the cooperation level increases as *** mechanism with short memory length,the effect of population structure is obvious and small values of adjusting factor can intensively facilitate high-frequency cooperative *** findings may be helpful to understand the connection between population heterogeneity and the emergence of high cooperation.

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Design of Multichannel Data Acquisition System Based on FPGA and MCU 6

Design of Multichannel Data Acquisition System Based on FPGA...

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6th International Conference on Communication and Information systems, ICCIS 2022

作者： Qi, Wenyu Zhou, Haibo Wang, He Cheng, Aitao Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin Univ. of Technol. Tianjin Key Lab. for Adv. Mechatronic Syst. Design and Intelligent Control Tianjin China Transcend Communication Beijing Co. Ltd. Beijing China

ISBN: (数字)9781665463850

ISBN: (纸本)9781665463850

A multi-channel (9*X) data acquisition system based on FPGA and MCU is developed, which can be used for signal field strength detection of base station equipment such as RFID. The system consists of data acquisition array, central controller, embedded firmware, and upper computer. Using the modular design method, the data acquisition array can be designed by changing the number of channels. The single-channel data acquisition module has a sampling resolution of 16 bits, a sampling rate of 200 kSPS/ch and dynamic range 70dB. The master-slave architecture is used to realize multi-channel synchronous acquisition of data. When the central controller communicates with the upper computer, it controls the operation of the single-channel data acquisition module and obtains the sampling data in a parallel manner. The embedded firmware is written in Verilog and C language to realize data acquisition, buffering, and sending and receiving of uplink and downlink signaling. The upper computer has the functions of system control and communication, establishes a data link with the central controller through the Ethernet cable, and obtains multi-channel sampling data through signaling. The system verifies the performance of the multi-channel data acquisition system through Analog-To-digital converter, single-channel data acquisition module and system performance test. © 2022 IEEE.

关键词： Data acquisition

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Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems

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IEEE Transactions on Cybernetics 2022年第5期52卷 3276-3288页

作者： Zhang, Hengmin Qian, Feng Shang, Fanhua Du, Wenli Qian, Jianjun Yang, Jian East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education School of Information Science and Engineering Shanghai200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China Xidian University Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence Xi'an710071 China Peng Cheng Laboratory Shenzhen518066 China Nanjing University of Science and Technology Pca Laboratory Key Lab. of Intelligent Percept. and Syst. for High-Dimensional Information of Ministry of Education Nanjing210094 China Nanjing University of Science and Technology Jiangsu Key Laboratory of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing210094 China

In recent years, most of the studies have shown that the generalized iterated shrinkage thresholdings (GISTs) have become the commonly used first-order optimization algorithms in sparse learning problems. The nonconvex relaxations of the \ell _{0} -norm usually achieve better performance than the convex case (e.g., \ell _{1} -norm) since the former can achieve a nearly unbiased solver. To increase the calculation efficiency, this work further provides an accelerated GIST version, that is, AGIST, through the extrapolation-based acceleration technique, which can contribute to reduce the number of iterations when solving a family of nonconvex sparse learning problems. Besides, we present the algorithmic analysis, including both local and global convergence guarantees, as well as other intermediate results for the GIST and AGIST, denoted as (A)GIST, by virtue of the Kurdyka-Lojasiewica (KL) property and some milder assumptions. Numerical experiments on both synthetic data and real-world databases can demonstrate that the convergence results of objective function accord to the theoretical properties and nonconvex sparse learning methods can achieve superior performance over some convex ones. © 2013 IEEE.

关键词： Optimization

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Contextual Multi-Armed Bandit-Based Dynamic Cooperative Link Configuration for AUV in UWASNs With Energy Harvesting

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Dai, Jun Li, Xinbin Han, Song Yu, Junzhi Liu, Zhixin Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao066004 China Yanshan University Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province Qinhuangdao066004 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics BIC-ESAT College of Engineering Beijing100871 China

This paper investigates the cooperative link configuration problem for Autonomous Underwater Vehicle (AUV) in Underwater Acoustic (UWA) sensor networks with Energy Harvesting (EH), which aims to maximize long-term cumulative capacity by jointly optimizing cooperation relay, AUV transmission power, and relay transmission power. Subject to unknown time-varying Channel State Information (CSI), unpredictable stochastic EH, and variable communication topology caused by AUV mobility, the proposed problem is an unknown dynamic combination decision optimization problem. To resist the change of the dynamic UWA communication topology with unknown time-varying CSI and EH, a novel collab.rative contextual multi-armed bandit learning framework is proposed, which allows relay nodes to learn cooperatively and enriches the learning information of relays. Consequently, the proposed learning framework can resist the change of the dynamic UWA communication topology efficiently, thereby achieving the superior link configuration quickly. Besides, a learning-rate adjustment rule for the dynamic UWA communication topology is proposed to adaptively balance the exploration-exploitation, thereby avoiding missing the real superior joint relay-power configuration. Finally, simulation results show the significantly superiority of the proposed scheme. © 2015 IEEE.

关键词： Cooperative communication

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Occupational Exposure of Therapeutic Staff in Deep Transcranial Magnetic Stimulation

Occupational Exposure of Therapeutic Staff in Deep Transcran...

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General Assembly and Scientific Symposium, URSI

作者： Mai Lu Shoogo Ueno Key Lab. of Opto-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou P.R. China Department of Biomedical Engineering Graduate School of Medicine The University of Tokyo Tokyo Japan

This study presented dosimetry analysis for therapeutic staff exposed to magnetic pulses from double cone and Halo-circular assembly (HCA) coils during deep transcranial magnetic stimulation (dTMS) applications. The magnetic field and the induced electric field in realistic human body model exposure to dTMS coils have been obtained by employing the impedance method. The exposure level by both double cone and HCA coils were assessed according to the limits defined by the International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines. The HCA coil generates higher exposure to therapeutic staff compared to that of double cone coil.

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Improved WPT system using a conical coil for charging a Smart device that controls patients with Alzheimer's disease 21

Improved WPT system using a conical coil for charging a Smar...

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21st International Multi-Conference on systems, Signals and Devices, SSD 2024

作者： Fadhel, Yosra Ben Derbel, Achraf Garrab, Hatem Trabelsi, Hadi Deriche, Mohamed Derbel, Nabil High Institute of Medical Technologies University of Tunis El-Manar Lab. of Biophysics and Medical Technology Tunis Tunisia Mediterranean Institute of Technology South Mediterranean University Departement of Computer Systems Engineering Tunisia University of Sousse Institut SupÃ©rieur des Sciences AppliquÃ©es et de Technologie de Sousse Tunisia King Fahd University King Fahd University of Petroleum Minerals KFUPM Saudi Arabia National School of Engineering of Sfax University of Sfax Control & Energy Management Laboratory Sfax Tunisia

ISBN: (纸本)9798350374131

controlling patients with Alzheimer's disease is very challenging. This paper presents a novel approach for enhancing the efficiency of wireless power transfer systems in smart devices used for managing patients with Alzheimer's disease. The pro-posed system contains a conical coil as a transmitter instead of the conventional circular coil shape to maximize coupling and ensure reliable power transfer. Through this paper, we have modeled a conical coil for the proposed system to reach its maximum coil quality factor. For certain frequencies, the proper inductance and resistance of the primary coil value are deduced by a mathematical expression from its length expression. This method has the potential to significantly enhance the effectiveness of technological solutions aimed at assisting individuals affected by this disease. This paper demonstrates that the quality factor of the system using a conical coil as a transmitter can be maximized, resulting in improved performance compared to traditional circular coil shapes. The findings suggest that this innovative coil design has promising implications for advancing WPT systems in healthcare applications for Alzheimer's patients. © 2024 IEEE.

关键词： Transmitters

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Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks

Multi-Destination Cooperative Task Offloading in Blockchain-...

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IEEE International Conference on Unmanned systems (ICUS)

作者： Ping Lang Daxin Tian Xuting Duan Jianshan Zhou State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University Beijing China Zhongguancun Laboratory Beijing China

As a novel computing paradigm, the Vehicular Edge Computing (VEC) network provides an additional avenue for onboard task execution for connected and automated vehicles (CAVs) in unmanned systems. In a VEC network, CAVs can offload tasks to different external servers for execution and obtain results. However, existing task offloading studies only focus on the one-to-one offloading of onboard tasks to edge servers, ignoring the requirements of parallel task execution and security. In this paper, we propose a blockchain-based multi-destination cooperative task offloading architecture in a VEC network. Based on this architecture, we analyze the task offloading and blockchain models and formulate a multi-destination cooperative task offloading optimization problem. Finally, we compare the performance of different multi-destination task offloading methods in simulations and demonstrate the effectiveness of the proposed architecture and optimization.

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Design of Simultaneous State and Unknown Input Filtering Algorithm for a Class of Nonlinear Stochastic systems with Multiple Sensors 8

Design of Simultaneous State and Unknown Input Filtering Alg...

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8th IEEE International Conference on Cloud Computing and Intelligence systems, CCIS 2022

作者： Hu, Zhibin Hu, Jun Chen, Cai Du, Junhua Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology School of Automation Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China Qiqihar University College of Science Qiqihar161006 China

ISBN: (纸本)9781665477352

In this paper, we investigate the simultaneous state and unknown input (SUI) filtering issue for a class of multi-sensor networked systems (MSNSs). The unknown input with no prior knowledge is introduced in the system state and output. The focus of this paper is to design the local filters with regard to the SUI, which can yield that the local upper bounds of the filtering error covariance for the SUI are derived at each instant. Moreover, the local filter gains of the SUI are designed such that the obtained upper bounds can be minimized. Finally, the proposed joint SUI algorithm is verified by using the simulation example. © 2022 IEEE.

关键词： Stochastic systems

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A Hardware Simulation Platform of Artificial Noise-Assisted MIMO Communication System Based on lab.IEW-USRP

A Hardware Simulation Platform of Artificial Noise-Assisted ...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Ziyang Yu Huanhuan Song Hong Wen Yonghuang Liu Wen Li School of Aeronautics and Astronautics University of Elec. Science and Tech. of China Chengdu China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Lab. of Sichuan Province UESTC China Intelligent IoT Communication Technology Engineering Research Center of Sichuan Province UESTC China

Due to the broadcast nature of wireless communication, it is susceptible to eavesdropping by unauthorized users. Artificial noise, as an important physical layer security technique, is different from traditional cryptography-based communication security mechanisms with high computational complexity, and cannot be cracked by the rapidly advancing computing power. The theoretical research on the security of artificial noise-assisted multiple input multiple output (MIMO) communication systems is quite comprehensive. However, since artificial noise is deeply dependent on the accurate instantaneous channel feedback, its practical application effect still lacks further experiment verification in actual MIMO systems. Based on lab.IEW and universal software radio peripheral (USRP) software defined radio technology, this paper presents a hardware simulation platform of artificial noise-assisted MIMO communication systems. The experimental data obtained from this platform demonstrates that artificial noise can effectively enhance system security with a slight influence on the system reliability.

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Feasibility of Utilizing Passive BCI for Assistance Evaluation: A Case Study on a Knee Exoskeleton

Feasibility of Utilizing Passive BCI for Assistance Evaluati...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Asghar Mahmoudi Morteza Khosrotabar Jannis Kuhmann Martin Grimmer Stephan Rinderknecht Maziar A. Sharbafi Faculty of Mechanical Engineering Institute for Mechatronic Systems Technical University Darmstadt Germany Lauflabor Locomotion Lab. Institute of Sports Science Technical Uni-versity Darmstadt Darmstadt Germany Department of Electrical En-gineering and Information Technology Control and Cyber-Physical Systems Technical University Darmstadt Darmstadt Germany

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

This study explored the feasibility of incorpo-rating a passive Brain-Computer Interface (BCI) into the individualization process of wearable assistive devices, with a specific focus on lower-limb exoskeletons. These devices can greatly improve mobility and quality of life for those with lower limb impairments. However, their optimal performance relies on personalized adjustments. This study offered a unique approach to user feedback without intentional control. A one-degree-of-freedom knee exoskeleton was utilized, introducing different levels of impedance to create distinct assistance levels. The analysis identified specific brain clusters, notably the right premotor and supplementary motor cortex, exhibiting significant differences in activity between the easiest and the most challenging conditions. This critical proof-of-concept step demonstrated that through decoding the user's brain activity, passive BCI could support the individualization of assistive technology. This approach indicated the potential to enhance the performance and user experience of wearable assistive devices.

关键词： Performance evaluation Brain Exoskeletons Motors User experience Brain-computer interfaces Decoding Assistive devices Impedance Robots

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