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Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems:Tackling Multiplicative Noises and Missing Measurements

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1127-1138页

作者： Shaoying wang zidong wang Hongli Dong Yun Chen Guoping Lu College of Science Shandong University of AeronauticsBinzhou 256603China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590 Department of Computer Science Brunel University LondonUxbridge UB83PHUK Artificial Intelligence Energy Research Institute Northeast Petroleum UniversityDaqing 163318 Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum UniversityDaqing 163318China School of Automation Hangzhou Dianzi UniversityHangzhou 310018China School of Electrical Engineering Nantong UniversityNantong 226019China

This paper focuses on the quadratic nonfragile filtering problem for linear non-Gaussian systems under multiplicative noises,multiple missing measurements as well as the dynamic event-triggered transmission *** multiple missing measurements are characterized through random variables that obey some given probability distributions,and thresholds of the dynamic event-triggered scheme can be adjusted dynamically via an auxiliary *** attention is concentrated on designing a dynamic event-triggered quadratic nonfragile filter in the well-known minimum-variance *** this end,the original system is first augmented by stacking its state/measurement vectors together with second-order Kronecker powers,thus the original design issue is reformulated as that of the augmented ***,we analyze statistical properties of augmented noises as well as high-order moments of certain random *** the aid of two well-defined matrix difference equations,we not only obtain upper bounds on filtering error covariances,but also minimize those bounds via carefully designing gain ***,an example is presented to explain the effectiveness of this newly established quadratic filtering algorithm.

关键词： filtering quadratic bounds

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Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication:Progress, Insights and Trends

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1539-1556页

作者： Weihao Song zidong wang Zhongkui Li Jianan wang Qing-Long Han IEEE the State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering ScienceCollege of Engineering Peking University the Department of Computer Science Brunel University London the School of Aerospace Engineering Beijing Institute of Technology the School of Science Computing and Engineering Technologies Swinburne University of Technology

The nonlinear filtering problem has enduringly been an active research topic in both academia and industry due to its ever-growing theoretical importance and practical *** main objective of nonlinear filtering is to infer the states of a nonlinear dynamical system of interest based on the available noisy measurements. In recent years, the advance of network communication technology has not only popularized the networked systems with apparent advantages in terms of installation,cost and maintenance, but also brought about a series of challenges to the design of nonlinear filtering algorithms, among which the communication constraint has been recognized as a dominating concern. In this context, a great number of investigations have been launched towards the networked nonlinear filtering problem with communication constraints, and many samplebased nonlinear filters have been developed to deal with the highly nonlinear and/or non-Gaussian scenarios. The aim of this paper is to provide a timely survey about the recent advances on the sample-based networked nonlinear filtering problem from the perspective of communication constraints. More specifically, we first review three important families of sample-based filtering methods known as the unscented Kalman filter, particle filter,and maximum correntropy filter. Then, the latest developments are surveyed with stress on the topics regarding incomplete/imperfect information, limited resources and cyber ***, several challenges and open problems are highlighted to shed some lights on the possible trends of future research in this realm.

关键词： Communication constraints maximum correntropy filter networked nonlinear filtering particle filter sample-based approximation unscented Kalman filter

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Ultimately Bounded Output Feedback Control for Networked Nonlinear Systems With Unreliable Communication Channel: A Buffer-Aided Strategy

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1566-1578页

作者： Yuhan Zhang zidong wang Lei Zou Yun Chen Guoping Lu the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China IEEE the Department of Computer Science Brunel UniversityUB83PHUnited Kingdom the College of Information Science and Technology Donghua UniversityShanghai 201620 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China the School of Automation Hangzhou Dianzi UniversityHangzhou 310018China the School of Electrical Engineering Nantong UniversityNantong 226019China

This paper concerns ultimately bounded output-feedback control problems for networked systems with unknown nonlinear dynamics. Sensor-to-observer signal transmission is facilitated over networks that has communication *** transmissions are carried out over an unreliable communication channel. In order to enhance the utilization rate of measurement data, a buffer-aided strategy is novelly employed to store historical measurements when communication networks are inaccessible. Using the neural network technique, a novel observer-based controller is introduced to address effects of signal transmission behaviors and unknown nonlinear *** the application of stochastic analysis and Lyapunov stability, a joint framework is constructed for analyzing resultant system performance under the introduced controller. Subsequently, existence conditions for the desired output-feedback controller are delineated. The required parameters for the observerbased controller are then determined by resolving some specific matrix inequalities. Finally, a simulation example is showcased to confirm method efficacy.

关键词： Buffer-aided strategy neural networks nonlinear control output-feedback control unreliable communication channel

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Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 74-87页

作者： Bogang Qu zidong wang Bo Shen Hongli Dong Hongjian Liu the College of Automation Engineering Shanghai University of Electric PowerShanghai 200090China IEEE the Department of Computer Science Brunel University LondonUxbridgeMiddiesex UB83PHUK the College of Information Science and Technology Donghua UniversityShanghai 200051 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China the Artificial Intelligence Energy Research Institute Northeast Petroleum UniversityDaqing 163318 the Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast PetroleumDaqing 163318 the Sanya Offshore Oil&Gas Research Institute Northeast Petroleum UniversitySanya 572024China the Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of EducationAnhui Polytechnic UniversityWuhu 2410000 the School of Mathematics and Physics Anhui Polytechnic UniversityWuhu 241000China

This paper investigates the anomaly-resistant decentralized state estimation(SE) problem for a class of wide-area power systems which are divided into several non-overlapping areas connected through transmission lines. Two classes of measurements(i.e., local measurements and edge measurements) are obtained, respectively, from the individual area and the transmission lines. A decentralized state estimator, whose performance is resistant against measurement with anomalies, is designed based on the minimum error entropy with fiducial points(MEEF) criterion. Specifically, 1) An augmented model, which incorporates the local prediction and local measurement, is developed by resorting to the unscented transformation approach and the statistical linearization approach;2) Using the augmented model, an MEEF-based cost function is designed that reflects the local prediction errors of the state and the measurement;and 3) The local estimate is first obtained by minimizing the MEEF-based cost function through a fixed-point iteration and then updated by using the edge measuring information. Finally, simulation experiments with three scenarios are carried out on the IEEE 14-bus system to illustrate the validity of the proposed anomaly-resistant decentralized SE scheme.

关键词： Decentralized state estimation(SE) measurements with anomalies minimum error entropy unscented Kalman filter wide-area power systems

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Recent progress and future prospects of high-entropy materials for battery applications

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Journal of Semiconductors 2024年第3期45卷 4-8页

作者： Wenbo Qiu zidong wang Shijiang He Huaping Zhao Yong Lei Institute of Nanochemistry and Nanobiology School of Environmental and Chemical EngineeringShanghai UniversityShanghai 200444China Fachgebiet Angewandte Nanophysik Institut für Physik&IMN MacroNanoTechnische Universität IlmenauIlmenau98693Germany

Due to the energy crisis caused by limited fossil fuel reserves,extensive use of the renewable energy sources such as wind or solar energy is deemed to replace the use of traditional fossil fuels in the future^([1−3]).However,most renewable energy sources face the same problem,which is the intermittency of *** example,solar energy cannot be utilized at *** means the continuous energy demand required for large-scale power grids can’t be satisfied by a single solar panel model.

关键词： battery replace entropy

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极紫外光电效应电荷驱动仿真与试验验证

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空间科学学报 2024年第2期44卷 368-378页

作者：王子栋周斌中国科学院国家空间科学中心空间天气学国家重点实验室北京100190 中国科学院国家空间科学中心太阳活动与空间天气重点实验室北京100190 中国科学院大学北京100049

惯性传感器中的检验质量是精密引力测量系统中的核心,其表面会因为宇宙高能粒子持续注入而积累电荷,在惯性传感器内部电磁场作用下产生杂散噪声,影响精密引力测量结果.根据光电效应原理,用UV LED产生极紫外光照射惯性传感器的电极与检... 详细信息

惯性传感器中的检验质量是精密引力测量系统中的核心,其表面会因为宇宙高能粒子持续注入而积累电荷,在惯性传感器内部电磁场作用下产生杂散噪声,影响精密引力测量结果.根据光电效应原理,用UV LED产生极紫外光照射惯性传感器的电极与检验质量表面,并在电极间施加适当电场,就可以在不引入外力作用且无接触条件下改变检验质量的电荷量.本文基于平行板电容器的简化电极模型,对极紫外电荷驱动过程进行了理论建模仿真.在此基础上设计和构建了一套电荷驱动验证试验系统,针对光功率、偏置电压对充放电速率的影响和交流电荷驱动进行试验.试验证明电荷充放电速率与极紫外光功率成正比,其量子产率随极板间电场强度变化.最终可实现稳定控制检验质量电荷放电速率在0.31~0.76 pC⋅s^(–1),检验质量电荷充电速率在–0.05~–0.17 pC⋅s^(–1).分析提出的检验质量电荷充放电速率理论模型与地面试验结果一致,可以有力支撑电荷管理控制系统的研制.

关键词：极紫外光电荷驱动光电效应建模仿真

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基于Stacking策略的集成BN网络目标威胁评估

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系统工程与电子技术 2024年第2期46卷 586-598页

作者：王紫东高晓光刘晓寒西北工业大学电子信息学院陕西西安710129

现有基于贝叶斯网络的威胁评估采用专家经验确定的朴素结构,其推理评估结果精度欠佳。为此,提出一种融合专家经验与数据观测的基于Stacking策略的集成贝叶斯网络(ensemble Bayesian network,EBN)。首先使用不同搜索空间内的评分优化算... 详细信息

现有基于贝叶斯网络的威胁评估采用专家经验确定的朴素结构,其推理评估结果精度欠佳。为此,提出一种融合专家经验与数据观测的基于Stacking策略的集成贝叶斯网络(ensemble Bayesian network,EBN)。首先使用不同搜索空间内的评分优化算法获得数据观测模型集并进行模型平均;然后使用专家经验朴素模型对平均网络进行修剪,形成威胁约束集合;最后以动态规划为基础,通过该集合限制节点序图扩展,以求取全局最优威胁评估网络。在作战想定中,EBN模型单目标威胁概率推理精度比朴素贝叶斯模型高出10%,在多目标威胁排序任务中,其Spearman系数分布亦优于朴素模型。

关键词：威胁评估贝叶斯网络结构学习约束优化

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具有隐私保护功能的半监督小样本齿轮箱故障诊断

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中国科学：技术科学 2024年第6期54卷 1105-1119页

作者：何心段亚穷王子栋张永华中科技大学机械科学与工程学院武汉430074 武汉科技大学信息科学与工程学院武汉430081 Department of Computer Science Brunel University LondonLondon UB83PHUnited Kingdom 元始智能科技有限公司南通226000

齿轮箱作为机械传动系统的关键组成部分,面对有限标记数据和数据隐私保护的需求,传统故障诊断方法存在数据泄露和模型精度不高等问题.因此,本研究提出了一种基于联邦学习的隐私保护框架,采用半监督原型网络与对比学习相结合的小样本齿... 详细信息

齿轮箱作为机械传动系统的关键组成部分,面对有限标记数据和数据隐私保护的需求,传统故障诊断方法存在数据泄露和模型精度不高等问题.因此,本研究提出了一种基于联邦学习的隐私保护框架,采用半监督原型网络与对比学习相结合的小样本齿轮箱故障诊断方法.首先,构建了DeceFL联邦学习框架,在每个客户端上使用有限数量的标记样本构建正负样本对.同时,采用对比学习的预训练方法,为自动编码器提供了初始化参数.随后,将自动编码器作为原型网络的特征映射函数,使用有限数量的标记样本计算类别原型.最后,通过原型细化方法对原型进行微调,减少异常数据的干扰,获得更加稳定和准确的原型.经过实际齿轮箱数据的验证,结果表明,本研究提出的隐私保护框架下的半监督小样本故障诊断方法能够仅使用极少数量的样本即实现更为出色的故障识别精度.这一研究为应对现实工业应用中的数据挑战提供了创新性的方法,推动齿轮箱故障诊断领域的进一步研究.

关键词：齿轮箱故障诊断隐私保护小样本半监督学习

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基于5G的变电站电气设备智能巡检研究

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电力设备管理 2024年第12期 165-167页

作者：王梓栋湖南电力工程咨询有限公司

5G技术是科技发展的产物,安全监管中使用5G技术能够极大的提高危险识别效率,减少事故发生概率。本文以5G技术为核心,研究变电站电气设备智能巡检方法,通过对各种先进技术的整合应用,达到智能巡检变电站目标。依靠智能巡检系统远程监控... 详细信息

5G技术是科技发展的产物,安全监管中使用5G技术能够极大的提高危险识别效率,减少事故发生概率。本文以5G技术为核心,研究变电站电气设备智能巡检方法,通过对各种先进技术的整合应用,达到智能巡检变电站目标。依靠智能巡检系统远程监控变电站设备现场,实时监控变电站设备情况,及时识别问题,自动发出预警,提高变电站运行安全性。

关键词： 5G技术变电站电气设备智能巡检数据

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智能电力装备控制系统在分布式发电系统中的应用

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电力系统装备 2024年第1期 40-42页

作者：王梓栋湖南电力工程咨询有限公司湖南长沙410007

分布式发电系统作为清洁能源发展的重要方向,正受到越来越多的关注。智能电力装备控制系统作为其中的关键技术,在实现能源的高效利用、负荷平衡及微网稳定性方面发挥着重要作用。文章介绍了智能电力装备控制系统在能量管理、负荷平衡、... 详细信息

分布式发电系统作为清洁能源发展的重要方向,正受到越来越多的关注。智能电力装备控制系统作为其中的关键技术,在实现能源的高效利用、负荷平衡及微网稳定性方面发挥着重要作用。文章介绍了智能电力装备控制系统在能量管理、负荷平衡、智能微网控制等多个领域的应用,并指出要进一步研究和创新,以充分发挥智能电力装备控制系统的潜力,促进分布式发电系统的可持续发展。

关键词：智能电力装备控制系统分布式发电系统应用

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