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Distributed Solver for Discrete-Time Lyapunov Equations over Dynamic Networks with Linear Convergence Rate

IEEE Transactions on Cybernetics 2022年第2期52卷 937-946页

作者： Jiang, Xia Zeng, Xianlin Sun, Jian Chen, Jie Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

The problem of solving discrete-Time Lyapunov equations (DTLEs) is investigated over multiagent network systems, where each agent has access to its local information and communicates with its neighbors. To obtain a solution to DTLE, a distributed algorithm with uncoordinated constant step sizes is proposed over time-varying topologies. The convergence properties and the range of constant step sizes of the proposed algorithm are analyzed. Moreover, a linear convergence rate is proved and the convergence performances over dynamic networks are verified by numerical simulations. © 2013 IEEE.

关键词： Convex optimization

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Consensus control of second-order stochastic discrete-time multi-agent systems without velocity transmission

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Control Theory and technology 2023年第4期21卷 591-601页

作者： Zi-Xuan Wang Xiaofeng Zong Ling-Jie Gai School of Automation China University of GeosciencesWuhan430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems WuhanHubeiChina Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhanHubeiChina

This article studies the almost-sure and the mean-square consensus control problems of second-order stochastic discrete-time multi-agent systems with multiplicative ***,a control law based on the absolute velocity and relative position information is ***,considering the existence of multiplicative noises and nonlinear terms with Lipschitz constants,the consensus control problem is solved through the use of a degenerated Lyapunov ***,for the linear second-order multi-agent systems,some explicit consensus conditions are ***,two sets of numerical simulations are performed.

关键词： Consensus control Multiplicative noises Second-order Discrete-time Multi-agent system

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A comprehensive overview of AI based methods for SoC estimation of Li-ion Batteries in EV

A comprehensive overview of AI based methods for SoC estimat...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Ines Baccouche Najoua Essoukri Ben Amara Ecole Nationale d’Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Sousse Tunisie

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

State of charge (SoC) estimation is a critical aspect of managing lithium-ion (Li-ion) batteries in electric vehicles (EVs). Various Artificial Intelligence (AI) techniques have been used to enhance SoC estimation accuracy, such as convolutional neural networks, recurrent neural networks, generative networks, and more. This article provides a thorough survey of AI-based models utilized for SoC estimation in Li-ion batteries, synthesizing findings from diverse studies. By comparing the performance of different models : classical Machine Learning, convolutional, recurrent and generative, insights into the effectiveness and limitations of various AI approaches are highlighted. The review aims to guide future research efforts toward developing robust and accurate SoC estimation methods crucial for optimizing EV battery management systems.

关键词： Lithium-ion batteries Training Surveys Accuracy Reviews Estimation Data models State of charge Reliability Artificial intelligence

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Adaptive Sliding-Mode Observer for FOC of IM Drives Fed by Soft-VSI Topology: Wind Turbine Emulator Application

Adaptive Sliding-Mode Observer for FOC of IM Drives Fed by S...

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International Conference on advanced systems and Electric Technologies (IC_ASET)

作者： Mouna Zerzeri Intissar Moussa Adel Khedher LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d'Ingénieurs de Sousse Sousse Tunisie LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Institut Supérieur de Transport de la Logistique de Sousse Sousse Tunisie

ISBN: (数字)9798350384895

ISBN: (纸本)9798350384901

A novel adaptive sliding-mode observer scheme is introduced to enhance the field-oriented control of a Wind Tur-bine Emulator (WTE) designed around a three-phase induction motor fed by a soft-voltage source inverter (VSI) topology. A Mexican hat profile is applied as input for WTE system. The proposed adaptive observer efficiently detects rotor flux components and facilitates online estimation of motor resistive parameters, ensuring continuous tracking of rotor resistance. The analytical development of the sliding mode observer and the adaptive scheme, based on Lyapunov theory, is comprehensively explained. To validate the efficacy of the proposed adaptive observer structure, simulation results from a purpose-designed Matlab/Simulink model are presented.

关键词： Adaptation models Adaptive systems Uncertainty Simulation Rotors Observers Robustness

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Evaluation of Adjacent and Opposite Current Injection Patterns for 3D Image Reconstruction of the Human Lung Based on a Realistic Model 17

Evaluation of Adjacent and Opposite Current Injection Patter...

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17th International Workshop on Impedance Spectroscopy, IWIS 2024

作者： Bouchhima, Mejda Bader, Oumaima Hafsa, Mariem Sahnoun, Salwa Ben Amara, Najoua Essoukri Kanoun, Olfa National School of Electronics and Telecommunications of Sfax University of Sfax Sfax3038 Tunisia Professorship Measurement and Sensor Technology Chemnitz University of Technology Chemnitz09111 Germany Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS - Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia Laboratory of Signals Systems Artificial Intelligence and Networks Digital Research Center of Sfax Sfax3038 Tunisia

ISBN: (纸本)9798331507626

Electrical Impedance Tomography (EIT) is a non-invasive, radiation-free imaging technique that can be used for 2D lung imaging. However, 2D EIT has a simplified geometric assumption, which neglects the 3D dynamic lung changes. This study develops a realistic 3D geometrical model including the lungs and thoracic cavity For EIT analysis. Finite Element (FE) models are generated for forward calculation and image reconstruction using an optimized Gauss-Newton (GN) algorithm. Two common current injection patterns - Adjacent and Opposite - are compared. Results show that using the lung-refined model with prior knowledge of the lungs' elements, GN converges with a Pearson correlation (r) of 0.9707 for the opposite pattern, higher than the adjacent pattern which reaches 0.9703. The second metric is the mean squared errors (MSE) between boundary voltages (BV) from reconstructed images and ground truth. It reaches 5.3965 · 10-4,5.3963· 10-4, and 1.0276· 10-12 for the Opposite pattern, respectively, for an empty cavity, lung-refined mesh without, and with prior knowledge of the lungs' elements. The results prove the efficiency of the Opposite injection pattern compared to the Adjacent pattern. These findings highlight the importance of injection patterns and the benefits of using a lung-refined mesh with prior knowledge of the lungs' elements for more accurate reconstructions. © 2024 IEEE.

关键词： Mesh generation

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An Overview of In Vitro Biological Neural Networks for Robot Intelligence

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Cyborg and Bionic systems 2023年第1期4卷 523-539页

作者： Zhe Chen Qian Liang Zihou Wei Xie Chen Qing Shi Zhiqiang Yu Tao Sun School of Medical Technology Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Biomimetic Robots and Systems(Beijing Institute of Technology) Ministry of EducationBeijing 10081China Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of TechnologyBeijing 100081China School of Mechatronical Engineering Beijing Institute of TechnologyBeijing 100081China

In vitro biological neural networks(BNNs)interconnected with robots,so-called BNN-based neurorobotic systems,can interact with the external world,so that they can present some preliminary intelligent behaviors,including learning,memory,robot control,*** work aims to provide a comprehensive overview of the intelligent behaviors presented by the BNN-based neurorobotic systems,with a particular focus on those related to robot *** this work,we first introduce the necessary biological background to understand the 2 characteristics of the BNNs:nonlinear computing capacity and network ***,we describe the typical architecture of the BNN-based neurorobotic systems and outline the mainstream techniques to realize such an architecture from 2 aspects:from robots to BNNs and from BNNs to ***,we separate the intelligent behaviors into 2 parts according to whether they rely solely on the computing capacity(computing capacity-dependent)or depend also on the network plasticity(network plasticity-dependent),which are then expounded respectively,with a focus on those related to the realization of robot ***,the development trends and challenges of the BNNbased neurorobotic systems are discussed.

关键词： robot Robot networks

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VisualIE: Receipt-Based Information Extraction with a Novel Visual and Textual Approach

VisualIE: Receipt-Based Information Extraction with a Novel ...

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International Conference on Cyberworlds

作者： Hamza Gbada Karim Kalti Mohamed Ali Mahjoub Higher Institute of Informatics and Communication Technologies University of Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems National Engineering School of Sousse (ENISo) Sousse Tunisia Faculty of sciences of Monastir University of Monastir LATIS-Laboratory of Advanced Technology and Intelligent Systems National Engineering School of Sousse (ENISo) Monastir Tunisia LATIS-Laboratory of Advanced Technology and Intelligent Systems National Engineering School of Sousse (ENISo) Sousse Tunisia

Information extraction (IE) from a receipt-based document requires understanding the contextual and visual semantics of texts. However, prior studies have predominantly utilized pre-trained language models and Optical Character Recognition (OCR) engines to extract textual features from the document and conduct entity extraction. Besides, this paper presents a novel approach for information extraction from receipt-based documents by leveraging both visual and textual features. The proposed approach employs a convolutional neural network to capture visual features and a word embedding model to capture textual features. These features are then combined and fed into a fully connected layer for entity classification. The experimental results demonstrate that the proposed approach outperforms the baseline and achieves state-of-the-art results in information extraction from receipts.

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Large-scale high uniform optoelectronic synapses array for artificial visual neural network

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Microsystems & Nanoengineering 2025年第1期11卷 247-256页

作者： Fanqing Zhang Chunyang Li Zhicheng Chen Haiqiu Tan Zhongyi Li Chengzhai Lv Shuai Xiao Lining Wu Jing Zhao State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of TechnologyMinistry of Education100081 BeijingChina School of Mechatronical Engineering Beijing Institute of Technology100081 BeijingChina Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology100081 BeijingChina Laser Micro/Nano Fabrication Laboratory School of Mechanical EngineeringBeijing Institute of Technology100081 BeijingChina School of Mechanical Engineering Beijing Institute of Technology100081 BeijingChina

Recently,the biologically inspired intelligent artificial visual neural system has aroused enormous ***,there are still significant obstacles in pursuing large-scale parallel and efficient visual memory and *** this study,we demonstrate a 28×28 synaptic devices array for the artificial visual neuromorphic system,within the size of 0.7×0.7 cm 2,which integrates sensing,memory,and processing *** highly uniform floating-gate synaptic transistors array were constructed by the wafer-scale grown monolayer molybdenum disulfide with Au nanoparticles(NPs)acting as the electrons capture *** synaptic plasticity behaviors have been achieved owing to the switchable electronic storage *** excellent optical/electrical coordination capabilities were implemented by paralleled processing both the optical and electrical signals the synaptic array of 784 devices,enabling to realize the badges and letters writing and erasing ***,the established artificial visual convolutional neural network(CNN)through optical/electrical signal modulation can reach the high digit recognition accuracy of 96.5%.Therefore,our results provide a feasible route for future large-scale integrated artificial visual neuromorphic system.

关键词： optoelectronic synapses monolayer molybdenum disulfide artificial visual neural system convolutional neural network artificial visual neuromorphic systemwithin artificial visual neural network floating gate transistors synaptic plasticity

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Ultrasensitive SERF atomic magnetometer with a miniaturized hybrid vapor cell

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Microsystems & Nanoengineering 2024年第4期10卷 367-376页

作者： Yintao Ma Yao Chen Mingzhi Yu Yanbin Wang Shun Lu Ju Guo Guoxi Luo Libo Zhao Ping Yang Qijing Lin Zhuangde Jiang State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesXi’an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and SystemsXi’an Jiaotong UniversityXi’an 710049China School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Instrument Science and Technology Xi’an Jiaotong UniversityXi’an 710049China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing YantaiYantai 265503China

The chip-scale hybrid optical pumping spin-exchange relaxation-free(SERF)atomic magnetometer with a single-beam arrangement has prominent applications in biomagnetic measurements because of its outstanding features,including ultrahigh sensitivity,an enhanced signal-to-noise ratio,homogeneous spin polarization and a much simpler optical configuration than other *** this work,a miniaturized single-beam hybrid optical pumping SERF atomic magnetometer based on a microfabricated atomic vapor cell is *** the optically thin Cs atoms are spinpolarized,the dense Rb atoms determine the experimental *** enhanced signal strength and narrowed resonance linewidth are experimentally proven,which shows the superiority of the proposed magnetometer *** using a differential detection scheme,we effectively suppress optical noise with an approximate five-fold ***,the cell temperature markedly affects the performance of the *** systematically investigate the effects of temperature on the magnetometer *** theoretical basis for these effects is explained in *** developed miniaturized magnetometer has an optimal magnetic sensitivity of 20 fT/Hz^(1/2).The presented work provides a foundation for the chip-scale integration of ultrahighly sensitive quantum magnetometers that can be used for forward-looking magnetocardiography(MCG)and magnetoencephalography(MEG)applications.

关键词： pumping polarization magnetometer

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Design and fabrication of a gecko-inspired surface for improving the grasping ability of a humanoid dexterous hand

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Science China(Technological Sciences) 2023年第3期66卷 784-792页

作者： JIANG ZhiHong SHEN MingHui MA YiFan CHE JiangTao LI Hui School of Mechatronic Engineering Beijing Institute of TechnologyBeijing 100081China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing 100081China Key Laboratory of Biomimetic Robots and Systems Ministry of EducationBeijing 100081China China Electronics Standardization Institute Beijing 100007China

Many studies have examined the design,fabrication and characteristics of gecko-inspired adhesives,but applied research on gecko-inspired surfaces in humanoid dexterous hands is relatively ***,a wedged slanted structure with a curved substrate suitable for humanoid dexterous fingers was designed and manufactured via ultraprecision machining and replica *** adhesion and friction properties of the wedged slanted structure show obvious anisotropic characteristics in the gripping and releasing directions,and the influence of structural parameters and motion parameters on the adhesion and friction was systematically *** humanoid dexterous fingers with gecko-inspired surfaces greatly increased the grasping force limit(increase to 4.02 times)based on the grasping of measuring cups with different volumes of water and improved the grasping stability based on the picking up of smooth steel balls of different *** study shows that this process,based on ultraprecision machining and replica molding,is a green,high-efficiency,and low-cost method to fabricate large-area biomimetic surfaces that has potential applications in dexterous humanoid hands to improve grasping ability,stability and adaptability.

关键词： gecko-inspired surface curved substrate ultraprecision machining friction humanoid dexterous hand

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