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Adaptive distributed optimization of high-order nonlinear multi-agent systems with predefined accuracy under state observer 认领 引用
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作者 Xiao-Wen Zhao Tong Shu +2 位作者 Deng-Hao Pang Tao Li Mei Yao 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第3期236-247,共12页
This paper discusses adaptive distributed optimization with predefined accuracy for high-order nonlinear multi-agent systems(MASs)that are subject to disturbances and nonlinear uncertainties.To estimate the global opt... This paper discusses adaptive distributed optimization with predefined accuracy for high-order nonlinear multi-agent systems(MASs)that are subject to disturbances and nonlinear uncertainties.To estimate the global optimal solution in realtime,a distributed proportional-integral optimization technique is used to generate a virtual system for each agent.For the unknown control gain of the controller,the Nussbaum function is employed.Then,a fuzzy adaptive observer is designed to estimate the unmeasured state by leveraging the general approximation capabilities of fuzzy logic systems.Using the Lyapunov stability method and backstepping technique,we develop the adaptive law and a new distributed controller.This ensures that the outputs of multi-agent systems converge to optimal values.Finally,a simulation example is used to confirm the viability of the presented control mechanism. 展开更多
关键词 distributed optimization nonlinear multi-agent systems(MASs) fuzzy state observer predefined accuracy control
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Cooperative localization for multi-airship navigation network with hybrid kernel particle filter 认领 引用
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作者 Ying MA Rui XUE +1 位作者 Xingzi QIANG Yingkui GONG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期48-66,共19页
Cooperative Localization(CL)enables agents to enhance their self-location accuracy by leveraging additional information from neighboring nodes.In near-space airship formations,CL facilitates the autonomous maintenance... Cooperative Localization(CL)enables agents to enhance their self-location accuracy by leveraging additional information from neighboring nodes.In near-space airship formations,CL facilitates the autonomous maintenance of spatiotemporal references.Particle Filters(PFs)are commonly employed to address CL challenges under nonlinear and non-Gaussian conditions.However,broadcasting redundant cooperative information in large networks leads to excessive observation dimensions.Additionally,unknown disturbances and anomalous observations introduce non-Gaussian noise.These factors lead to weight degeneracy in PFs,degrading positioning accuracy.This paper proposes a novel game-theoretic CL mechanism specifically tailored for near-space airships.Our mechanism integrates a perception and strategy selection method to select collaborative nodes with higher positioning accuracy,along with a robust distributed hybrid kernel PF to mitigate non-Gaussian noise.The perception and strategy selection method is designed based on the heterogeneous investment public goods game,for which the benefit function is constructed using the Cramer–Rao lower bound to allocate more investment to nodes exhibiting superior accuracy.The distributed hybrid kernel PF optimizes the proposal distribution through adaptive important region sampling and mean-shift migration,effectively managing noise uncertainty.Simulation experiments on a two-layer network of 43 airships demonstrate that our algorithm selects optimal measurements to reduce redundancy while preserving accuracy.The results highlight improvements in positioning and timing accuracy under different noise conditions compared with other methods. 展开更多
关键词 Multi-airship network Cooperative localization Global Navigation Satellite System Particle filter Game theory
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THE PRECISE NORM OF A CLASS OF FORELLI-RUDIN TYPE OPERATORS ON THE SIEGEL UPPER HALF SPACE 认领 引用 被引量：1
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作者 Lifang ZHOU Yun FAN Jin LU 《Acta Mathematica Scientia》 SCIE CSCD 2021年第5期1537-1546,共10页
The precise Lp norm of a class of Forelli-Rudin type operators on the Siegel upper half space is given in this paper.The main result not only implies the upper Lp norm estimate of the Bergman projection,but also... The precise Lp norm of a class of Forelli-Rudin type operators on the Siegel upper half space is given in this paper.The main result not only implies the upper Lp norm estimate of the Bergman projection,but also implies the precise Lp norm of the Berezin transform. 展开更多
关键词 precise Lpnorm Forelli-Rudin type operators Siegel upper half space Bergman projection Berezin transform
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Fault Diagnosis of Linear Guide Rails Based on SSTG Combined with CA-DenseNet 认领 引用 被引量：2
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作者 Yanping Wu Juncai Song +2 位作者 Xianhong Wu Xiaoxian Wang Siliang Lu 《Journal of Dynamics, Monitoring and Diagnostics》 2024年第1期1-10,共10页
Monitoring the status of linear guide rails is essential because they are important components in linear motion mechanical production.Thus,this paper proposes a new method of conducting the fault diagnosis of linear g... Monitoring the status of linear guide rails is essential because they are important components in linear motion mechanical production.Thus,this paper proposes a new method of conducting the fault diagnosis of linear guide rails.First,synchrosqueezing transform(SST)combined with Gaussian high-pass filter,termed as SSTG,is proposed to process vibration signals of linear guide rails and obtain time-frequency images,thus helping realize fault feature visual enhancement.Next,the coordinate attention(CA)mechanism is introduced to promote the DenseNet model and obtain the CA-DenseNet deep learning framework,thus realizing accurate fault classifica-tion.Comparison experiments with other methods reveal that the proposed method has a high classification accuracy of up to 95.0%.The experimental results further demonstrate the effectiveness and robustness of the proposed method for the fault diagnosis of linear guide rails. 展开更多
关键词 CA-DenseNet fault diagnosis linear guide rails SSTG
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Design of real-time feedback control of vertical growth rate on EAST 认领 引用
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作者 Na-Na Bao Yao Huang +4 位作者 Bing-Jia Xiao Qi-Ping Yuan Zheng-Ping Luo Yue-Hang Wang Shu-Liang Chen 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2021年第7期99-107,共9页
Real-time feedback control of vertical growth rate,called gamma control,has been successfully applied to experimental advanced superconducting tokamak(EAST).In this paper,a new gamma control method is proposed to regu... Real-time feedback control of vertical growth rate,called gamma control,has been successfully applied to experimental advanced superconducting tokamak(EAST).In this paper,a new gamma control method is proposed to regulate the vertical growth rate,which is an estimator of plasma vertical instability.Thus,the gamma controller can be utilized to keep the tokamak plasma away from its unstable boundary.In this work,the main development process includes three steps:(1)real-time implementation of model-based vertical growth rate calculation,taking advantage of GPU parallel computing capability,(2)design of plasma shape response for dynamic shape control using a slight modification to the plasma boundary,and(3)development of a gamma control algorithm integrated into the EAST plasma control system(PCS).The gamma control was experimentally verified in the EAST 2019 experiment campaign.It is shown that the time evolution of the real-time vertical growth rate agrees with the target value,indicating that the real-time vertical growth rate can be regulated by gamma control. 展开更多
关键词 Experimental advanced superconducting tokamak(EAST) Dynamic shape response Gamma control Vertical growth rate
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Physics-based battery SOC estimation methods:Recent advances and future perspectives 认领 引用 被引量：6
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作者 Longxing Wu Zhiqiang Lyu +2 位作者 Zebo Huang Chao Zhang Changyin Wei 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2024年第2期27-40,I0003,共14页
The reliable prediction of state of charge(SOC)is one of the vital functions of advanced battery management system(BMS),which has great significance towards safe operation of electric vehicles.By far,the empirical mod... The reliable prediction of state of charge(SOC)is one of the vital functions of advanced battery management system(BMS),which has great significance towards safe operation of electric vehicles.By far,the empirical model-based and data-driven-based SOC estimation methods of lithium-ion batteries have been comprehensively discussed and reviewed in various literatures.However,few reviews involving SOC estimation focused on electrochemical mechanism,which gives physical explanations to SOC and becomes most attractive candidate for advanced BMS.For this reason,this paper comprehensively surveys on physics-based SOC algorithms applied in advanced BMS.First,the research progresses of physical SOC estimation methods for lithium-ion batteries are thoroughly discussed and corresponding evaluation criteria are carefully elaborated.Second,future perspectives of the current researches on physics-based battery SOC estimation are presented.The insights stated in this paper are expected to catalyze the development and application of the physics-based advanced BMS algorithms. 展开更多
关键词 Lithium-ion batteries State of charge Electrochemical model Battery management system
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On the time-independent Hamiltonian in real-time and imaginary-time quantum annealing 认领 引用
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作者 Jie Sun Songfeng Lu 《Chinese Physics B》 SCIE EI CAS CSCD 2020年第10期167-171,共5页
We present the analog analogue of Grover's problem as an example of the time-independent Hamiltonian for applying the speed limit of the imaginary-time Schrödinger equation derived by Okuyama and Ohzeki and t... We present the analog analogue of Grover's problem as an example of the time-independent Hamiltonian for applying the speed limit of the imaginary-time Schrödinger equation derived by Okuyama and Ohzeki and the new class of energy-time uncertainty relation proposed by Kieu. It is found that the computational time of the imaginary-time quantum annealing of this Grover search can be exponentially small, while the counterpart of the quantum evolution driven by the real-time Schrödinger equation could only provide square root speedup, compared with classic search. The present results are consistent with the cases of the time-dependent quantum evolution of the natural Grover problem in previous works. We once again emphasize that the logarithm and square root algorithmic performances are generic in imaginary-time quantum annealing and quantum evolution driven by real-time Schrödinger equation, respectively. Also, we provide evidences to search deep reasons why the imaginary-time quantum annealing can lead to exponential speedup and the real-time quantum annealing can make square root speedup. 展开更多
关键词 time-independent Hamiltonian imaginary-time quantum annealing quantum speed limit the energy-time uncertainty relation continuous Grover's search
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Unleashing the Power of CNN and Transformer for Balanced RGB-event Video Recognition 认领 引用
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作者 Xiao Wang Yao Rong +5 位作者 Shiao Wang Yuan Chen Zhe Wu Bo Jiang Yonghong Tian Jin Tang 《Machine Intelligence Research》 EI CSCD 2025年第6期1031-1047,共17页
Pattern recognition based on RGB-event data is a newly arising research topic and previous works usually learn their features via convolutional neural network(CNN)or transformer.As we know,CNN captures local features ... Pattern recognition based on RGB-event data is a newly arising research topic and previous works usually learn their features via convolutional neural network(CNN)or transformer.As we know,CNN captures local features well and the cascaded self-attention mechanisms are good at extracting long-range global relations.It is intuitive to combine them for high-performance RGB-event based video recognition,however,existing works fail to achieve a good balance between the accuracy and model parameters.In this work,we propose a novel RGB-event based recognition framework termed TSCFormer,which is a relatively lightweight CNN-Transformer model.Specifically,we mainly adopt the CNN as the backbone network to first encode both RGB and event data.Moreover,we initialize global tokens as the input and fuse them with RGB and event features using the BridgeFormer module.It captures the global long-range relations well between both modalities,and maintains the simplicity of the whole model architecture at the same time.The enhanced features will be projected and fused into the RGB and event CNN blocks,respectively,in an interactive manner using feature to event(F2E)and feature to vision(F2V)modules.Similar operations are conducted for other CNN blocks to achieve adaptive fusion and local-global feature enhancement under different resolutions.Finally,we concatenate these three features and feed them into the classification head for pattern recognition.Extensive experiments on two large-scale RGB-event benchmark datasets(PokerEvent and human activity recognition with dynamic vision sensors(HARDVS))fully validate the effectiveness of our proposed TSCFormer.The source code will be released at http://gffzz188fe103f8f1460asqu99ouuwwk5x6opf.ffgz.tsg.suse.edu.cn/Event-AHU/TSCFormer. 展开更多
关键词 Event camera RGB-event based classification temporal shift convolutional neural network(CNN) transformer
A Generative Adversarial Network Guided Evolutionary Algorithm for Large-scale Sparse Multiobjective Optimization 认领 引用
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作者 Zhuanlian Ding Junzhe Liu +2 位作者 Dengdi Sun Xingyi Zhang Bin Luo 《Machine Intelligence Research》 EI CSCD 2026年第1期263-280,共18页
In recent decades,great progress has been made in learnable multiobjective evolutionary algorithms(MOEAs)in the field of evolutionary computations.However,existing learnable MOEAs have not been equipped with powerful ... In recent decades,great progress has been made in learnable multiobjective evolutionary algorithms(MOEAs)in the field of evolutionary computations.However,existing learnable MOEAs have not been equipped with powerful strategies for addressing the grand series associated with sparse large-scale multiobjective optimization problems(sparse LSMOPs),which include the curse of dimensionality and unknown sparsity characteristics.This work proposes a generative adversarial network(GAN)-guided evolutionary algorithm for solving sparse LSMOPs.GAN-aided offspring generation is adopted at each generation to generate high-quality sparse offspring solutions to improve the search performance,owing to the GAN’s powerful learning and generative capabilities.Specifically,random interpolation and discretization strategies are utilized to prevent mode collapse and falling into local optima,thereby generating promising sparse offspring solutions.The experimental results on both benchmark and real-world problems verify the superior performance of the proposed algorithm compared with the state-of-the-art evolutionary algorithms. 展开更多
关键词 Evolutionary algorithm generative adversarial network(GAN) sparse large-scale multiobjective optimization
Spatial–temporal variations of NDVI and its response to climate in China from 2001 to 2020 认领 引用 被引量：13
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作者 Yuanyuan Wei Shougang Sun +1 位作者 Dong Liang Zhaohong Jia 《International Journal of Digital Earth》 SCIE EI 2022年第1期1463-1484,共22页
Vegetation plays an important role in global or regional environmental change.In this study,the spatial–temporal variations of NDVI and its response to climate in China and its seven sub-regions were investigated bas... Vegetation plays an important role in global or regional environmental change.In this study,the spatial–temporal variations of NDVI and its response to climate in China and its seven sub-regions were investigated based on MODIS NDVI data,ERA5-land precipitation(PRE)and temperature(TEM)data from 2001 to 2020.The inter-annual growth rate of NDVI in China was 0.0021/yr in the past 20 years.The inter-annual growth rates of NDVI in seven sub-regions had significant differences at regional or seasonal scales.The ratio of improved vegetation area to the total studied area reached about 70%.In summer,vegetation degradation was concentrated in East China and Southwest China.The vegetation in Central China and South China improved more obviously in autumn than in the other seasons.The vegetation of Northeast China had a remarkable degradation in autumn and winter,especially in winter.The influence degree of PRE(q=0.54,P<0.01)was greater than that of TEM(q=0.27,P<0.01)in the control of the spatial distribution of NDVI.The interaction influence degree q of PRE∩TEM was about 0.71 in the last 20 years.However,the PRE and TEM played different roles in vegetation growth in seven sub-regions. 展开更多
关键词 NDVI spatial–temporal variations climate change MK test Geodetector
A data-fusion-model method for state of health estimation of Li-ion battery packs based on partial charging curve 认领 引用 被引量：3
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作者 Xingzi Qiang Wenting Liu +2 位作者 Zhiqiang Lyu Haijun Ruan Xiaoyu Li 《Green Energy and Intelligent Transportation》 2024年第5期1-12,共12页
The estimation of State of Health(SOH)for battery packs used in Electric Vehicles(EVs)is a complex task with significant importance,accompanied by several challenges.This study introduces a data-fusion model approach ... The estimation of State of Health(SOH)for battery packs used in Electric Vehicles(EVs)is a complex task with significant importance,accompanied by several challenges.This study introduces a data-fusion model approach to estimate the SOH of battery packs.The approach utilizes dual Gaussian Process Regressions(GPRs)to construct a data-driven and non-parametric aging model based on charging-based Aging Features(AFs).To enhance the accuracy of the aging model,a noise model is established to replace the random noise.Subsequently,the statespace representation of the aging model is incorporated.Additionally,the Particle Filter(PF)is introduced to track the unknown state in the aging model,thereby developing the data-fusion-model for SOH estimation.The performance of the proposed method is validated through aging experiments conducted on battery packs.The simulation results demonstrate that the data-fusion model approach achieves accurate SOH estimation,with maximum errors less than 1.5%.Compared to conventional techniques such as GPR and Support Vector Regression(SVR),the proposed method exhibits higher estimation accuracy and robustness. 展开更多
关键词 Li-ion battery pack State of health Data-fusion-model method Particle filter Gaussian process regression Support vector regression
Coexistence of multiuser entanglement distribution and classical light in optical fiber network with a semiconductor chip 认领 引用 被引量：1
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作者 Xu Jing Cheng Qian +11 位作者 Xiaodong Zheng Hu Nian Chenquan Wang Jie Tang Xiaowen Gu Yuechan Kong Tangsheng Chen Yichen Liu Chong Sheng Dong Jiang Bin Niu Liangliang Lu 《Chip》 EI 2024年第2期1-10,共10页
Building communication links among multiple users in a scalable and robust way is a key objective in achieving large-scale quantum networks.In a realistic scenario,noise from the coexisting classical light is inevitab... Building communication links among multiple users in a scalable and robust way is a key objective in achieving large-scale quantum networks.In a realistic scenario,noise from the coexisting classical light is inevitable and can ultimately disrupt the entanglement.The previous significant fully connected multiuser entanglement distribution experiments are conducted using dark fiber links,and there is no explicit relation between the entanglement degradations induced by classical noise and its error rate.Here,a semiconductor chip with a high figure-of-merit modal overlap is fabricated to directly generate broadband polarization entanglement.The monolithic source maintains the polarization entanglement fidelity of above 96%for 42 nm bandwidth,with a brightness of 1.2×107Hz mW−1.A continuously working quantum entanglement distribution are performed among three users coexisting with classical light.Under finite-key analysis,secure keys are established and images encryption are enabled as well as quantum secret sharing between users.This work paves the way for practical multiparty quantum communication with integrated photonic architecture compatible with real-world fiber optical communication network. 展开更多
关键词 Quantum key distribution Semiconductor chip Raman noise Image encryption
Five-user quantum virtual local area network with an AlGaAs entangled photon source 认领 引用
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作者 Cheng Qian Hongkai Tian +11 位作者 Xu Jing Yichen Liu Zhe Chen Huiran Luo Yuan Du Xiaodong Zheng Tangsheng Chen Yuechan Kong Hua-Lei Yin Dong Jiang Bin Niu Liangliang Lu 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CSCD 2025年第3期61-73,共13页
The promotion of quantum network applications demands the scalable connection of quantum resources.It is preferable to set up multiple logical networks coexisting on a single physical network infrastructure to accommo... The promotion of quantum network applications demands the scalable connection of quantum resources.It is preferable to set up multiple logical networks coexisting on a single physical network infrastructure to accommodate a larger number of users.Here we present a quantum virtual network architecture that offers this level of scalability,without being constrained to a fixed physical-layer network relying solely on passive multiplexing components.The architecture can be understood as arising from the superposition of a fully connected entanglement distribution network and port-based virtual local area network,which group multiusers by access ports.In terms of hardware,we leverage a semiconductor chip with a high figure-of-merit modal overlap to directly generate high-quality polarization entanglement,and a streamlined polarization analysis module,which requires only one single-photon detector for each end user.We experimentally perform the BBM92 QKD protocol on the five-user quantum virtual network and demonstrate voice and image encryption on a campus area network.Our results may provide insights into the realization of large-scale quantum networks with integrated and cost-efficient photonic architecture. 展开更多
关键词 quantum network quantum entanglement distribution integrated photonics image and voice encryption
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Detecting broiler chickens on litter floor with the YOLOv5-CBAM deep learning model 认领 引用 被引量：9
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作者 Yangyang Guo Samuel E.Aggrey +3 位作者 Xiao Yang Adelumola Oladeinde Yongliang Qiao Lilong Chai 《Artificial Intelligence in Agriculture》 2023年第3期36-45,共10页
For commercial broiler production,about 20,000–30,000 birds are raised in each confined house,which has caused growing public concerns on animal welfare.Currently,daily evaluation of broiler wellbeing and growth is c... For commercial broiler production,about 20,000–30,000 birds are raised in each confined house,which has caused growing public concerns on animal welfare.Currently,daily evaluation of broiler wellbeing and growth is conducted manually,which is labor-intensive and subjectively subject to human error.Therefore,there is a need for an automatic tool to detect and analyze the behaviors of chickens and predict their welfare status.In this study,we developed a YOLOv5-CBAM-broiler model and tested its performance for detecting broilers on litter floor.The proposed model consisted of two parts:(1)basic YOLOv5 model for bird or broiler feature extraction and object detection;and(2)the convolutional block attention module(CBAM)to improve the feature extraction capability of the network and the problem of missed detection of occluded targets and small targets.A complex dataset of broiler chicken images at different ages,multiple pens and scenes(fresh litter versus reused litter)was constructed to evaluate the effectiveness of the new model.In addition,the model was compared to the Faster R-CNN,SSD,YOLOv3,EfficientDet and YOLOv5 models.The results demonstrate that the precision,recall,F1 score and an mAP@0.5 of the proposed method were 97.3%,92.3%,94.7%,and 96.5%,which were superior to the comparison models.In addition,comparing the detection effects in different scenes,the YOLOv5-CBAM model was still better than the comparison method.Overall,the proposed YOLOv5-CBAM-broiler model can achieve real-time accurate and fast target detection and provide technical support for the management and monitoring of birds in commercial broiler houses. 展开更多
关键词 Poultry production Deep learning YOLOv5 Attention mechanism
Multi-attribute decision making with Pythagorean fuzzy sets via conversions to intuitionistic fuzzy sets and ORESTE method 认领 引用 被引量：2
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作者 Zhifu Tao Jiaming Zhu +2 位作者 Ligang Zhou Jinpei Liu Huayou Chen 《Journal of Control and Decision》 EI 2021年第3期372-383,共12页
The aim of this paper is to study the conversions between Pythagorean fuzzy sets and Atanassov’s intuitionistic fuzzy sets.Besides,an ORESTE method based on multi-attribute decision making with Pythagorean fuzzy sets... The aim of this paper is to study the conversions between Pythagorean fuzzy sets and Atanassov’s intuitionistic fuzzy sets.Besides,an ORESTE method based on multi-attribute decision making with Pythagorean fuzzy sets is developed by utilising the developed conversions.In this paper,according to the geometric representations of Pythagorean fuzzy sets and Atanassov’s intuitionistic fuzzy sets,two types of conversions between the two fuzzy sets are constructed,which are further used to derive information measures include entropy and cross-entropy measures of Pythagorean fuzzy sets.Then,by combining with the ORESTE method,a direct decision procedure for multi-attribute decision making with Pythagorean fuzzy information is developed.Finally,a numerical example of the evaluation of regional energy efficiency is shown to illustrate the feasibility and validity of the developed decision procedure. 展开更多
关键词 Pythagorean fuzzy sets multi-attribute decision making Atanassov’s intuitionistic fuzzy sets ORESTE entropies
Computing Persistent Homology by Spanning Trees and Critical Simplices 认领 引用
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作者 Dinghua Shi Zhifeng Chen +1 位作者 Chuang Ma Guanrong Chen 《Research》 SCIE EI CSCD 2024年第2期519-527,共9页
Topological data analysis can extract effective information from higher-dimensional data.Its mathematical basis is persistent homology.The persistent homology can calculate topological features at different spatiotemp... Topological data analysis can extract effective information from higher-dimensional data.Its mathematical basis is persistent homology.The persistent homology can calculate topological features at different spatiotemporal scales of the dataset,that is,establishing the integrated taxonomic relation among points,lines,and simplices.Here,the simplicial network composed of all-order simplices in a simplicial complex is essential.Because the sequence of nested simplicial subnetworks can be regarded as a discrete Morse function from the simplicial network to real values,a method based on the concept of critical simplices can be developed by searching all-order spanning trees.Employing this new method,not only the Morse function values with the theoretical minimum number of critical simplices can be obtained,but also the Betti numbers and composition of all-order cavities in the simplicial network can be calculated quickly.Finally,this method is used to analyze some examples and compared with other methods,showing its effectiveness and feasibility. 展开更多
关键词 Morse establishing topological
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